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Carlotta Berry’s talk Robotics Education to Robotics Research (with video) – Robohub

Posted on December 22, 2020 by Danzig

A few days ago, Robotics Today hosted an online seminar with Professor Carlotta Berry from the Rose-Hulman Institute of Technology. In her talk, Carlotta presented the multidisciplinary benefits of robotics in engineering education. In is worth highlighting that Carlotta Berry is one of the 30 women in robotics you need to know about in 2020.

This presentation summarizes the multidisciplinary benefits of robotics in engineering education. I will describe how it is used at a primarily undergraduate institution to encourage robotics education and research. There will be a review of how robotics is used in several courses to illustrate engineering design concepts as well as controls, artificial intelligence, human-robot interaction, and software development. This will be a multimedia presentation of student projects in freshman design, mobile robotics, independent research and graduate theses.

Carlotta A. Berry is a Professor in the Department of Electrical and Computer Engineering at Rose-Hulman Institute of Technology. She has a bachelors degree in mathematics from Spelman College, bachelors degree in electrical engineering from Georgia Institute of Technology, masters in electrical engineering from Wayne State University, and PhD from Vanderbilt University. She is one of a team of faculty in ECE, ME and CSSE at Rose-Hulman to create and direct the first multidisciplinary minor in robotics. She is the Co-Director of the NSF S-STEM Rose Building Undergraduate Diversity (ROSE-BUD) Program and advisor for the National Society of Black Engineers. She was previously the President of the Technical Editor Board for the ASEE Computers in Education Journal. Dr. Berry has been selected as one of 30 Women in Robotics You Need to Know About 2020 by robohub.org, Reinvented Magazine Interview of the Year Award on Purpose and Passion, Women and Hi Tech Leading Light Award You Inspire Me and Insight Into Diversity Inspiring Women in STEM. She has taught undergraduate courses in Human-Robot Interaction, Mobile Robotics, circuits, controls, signals and system, freshman and senior design. Her research interests are in robotics education, interface design, human-robot interaction, and increasing underrepresented populations in STEM fields. She has a special passion for diversifying the engineering profession by encouraging more women and underrepresented minorities to pursue undergraduate and graduate degrees. She feels that the profession should reflect the world that we live in in order to solve the unique problems that we face.

You can also view past seminars on the Robotics Today YouTube Channel.

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Carlotta Berry's talk Robotics Education to Robotics Research (with video) - Robohub

GreenPower and Perrone Robotics Deliver Nation’s First Fully Autonomous EV Star to Jacksonville Transportation Authority – PRNewswire

Posted on December 22, 2020 by Danzig

The JTA is currently working with local colleges, medical campuses, and other partners to create the nation's first public transportation network powered by autonomous vehicles. GreenPower's fully autonomous EV Star, developed in collaboration with Perrone Robotics, is expected to enter service in February 2021 after an initial calibration period.

Introducing GreenPower's AV Star: Click Here

Brendan Riley, President of GreenPower commented, "We are seeing a dramatic increase in autonomous vehicle demand and this vehicle demonstrates the compelling marriage of advanced technologies with the customer's own unique requirements. An autonomous vehicle like our EV Star really opens the door for other automated applications, such as delivery services, and we really see a wide-open market. With a fully autonomous EV Star, GreenPower can lead the way in this exciting, disruptive space."

Ryne Shetterly, VP of Sales and Marketing at GreenPower added, "The collaboration between Perrone Robotics and GreenPower Motor Company has proved successful and we are excited to deliver the first unit to JTA." Shetterly continued, "As a result, we are in the process of building a second unit in partnership with both First Transit and Perrone Robotics for a nationwide sales demo tour scheduled to begin in March 2021. First Transit is one of the leading transit solutions providers to transit properties all across country and this tour will allow GreenPower to leverage their reach and influence within the space."

About GreenPower Motor Company Inc.GreenPower designs, builds and distributes a full suite of high-floor and low-floor vehicles, including transit buses, school buses, shuttles, a cargo van and a double decker. GreenPower employs a clean-sheet design to manufacture all-electric buses that are purpose built to be battery powered with zero emissions. GreenPower integrates global suppliers for key components, such as Siemens or TM4 for the drive motors, Knorr for the brakes, ZF for the axles and Parker for the dash and control systems. This OEM platform allows GreenPower to meet the specifications of various operators while providing standard parts for ease of maintenance and accessibility for warranty requirements. For further information go to http://www.greenpowerbus.com

Forward-Looking StatementsThis document contains forward-looking statements relating to, among other things, GreenPower's business and operations and the environment in which it operates, which are based on GreenPower's operations, estimates, forecasts and projections.Forward-looking statements are not based on historical facts, but rather on current expectations and projections about future events, and are therefore subject to risks and uncertainties which could cause actual results to differ materially from the future results expressed or implied by the forward-looking statements. These statements generally can be identified by the use of forward-looking words such as "upon", "may", "should", "will", "could", "intend", "estimate", "plan", "anticipate", "expect", "believe" or "continue", or the negative thereof or similar variations. These statements are not guarantees of future performance or are beyond GreenPower's control. A number of important factors including those set forth in other public filings (filed under the Company's profile on http://www.sedar.com)could cause actual outcomes and results to differ materially from those expressed in these forward-looking statements. Consequently, readers should not place any undue reliance on such forward-looking statements. In addition, these forward-looking statements relate to the date on which they are made. GreenPower disclaims any intention or obligation to update or revise any forward-looking statements whether as a result of new information, future events or otherwise.

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release. 2020 GreenPower Motor Company Inc. All rights reserved.

SOURCE GreenPower Motor Company

https://www.greenpowerbus.com

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GreenPower and Perrone Robotics Deliver Nation's First Fully Autonomous EV Star to Jacksonville Transportation Authority - PRNewswire

Global Industrial Robotics Market Outlook Report 2020-2027 with COVID-19 Impact Insights on the $100+ Billion Industry – GlobeNewswire

Posted on December 22, 2020 by Danzig

Dublin, Dec. 18, 2020 (GLOBE NEWSWIRE) -- The "COVID-19 Impact on Industrial Robotics - Global Market Outlook (2019-2027)" report has been added to ResearchAndMarkets.com's offering.

Global Industrial Robotics market accounted for $39.64 billion in 2019 and is expected to reach $101.72 billion by 2027 growing at a CAGR of 12.5% during the forecast period.

Some of the key factors propelling the market growth include Dearth of skilled labor and solicitation of proposals by governments, public-private companies to mitigate the adverse impact of COVID-19, increasing investments for innovations and automation in industries. However, high installation cost of industrial robots, especially for small and medium-sized enterprises is likely to hamper the market.

An industrial robot is a robot system used in manufacturing industries. These are automated, programmable and capable of movement on three or more axis. In simple terms, it is described as a programmable, mechanical device used in place of a person to perform dangerous or repetitive tasks with a high degree of accuracy. They are designed specifically for different applications such as welding, painting, assembly, pick and place for printed circuit boards, packaging and labeling, palletizing, product inspection, and testing in manufacturing industries.

By end user, automotive segment is anticipated to grow at the significant rate during the forecast period. The automotive industry continues to use industrial robots in their assembly line. The industry has seen the most extensive use for robots in manufacturing and assembling components such as engines, chassis, axles, and brakes. The automotive industry is one of the largest users of industrial robots; however, the market is expected to be severely affected due to the COVID-19 pandemic. The pandemic has hindered production and significantly reduced consumer demand. Due to this, vehicle manufacturers are expected to reduce their investments in automation, affecting the market for industrial robots.

On the basis of geography, APAC is projected to have considerable market growth during the forecast period, owing to decrease in the sales of industrial robots in countries like China due to the falling demand from the automotive sector and the effects of the US-China trade war. The automotive and electrical & electronics industries are the most important drivers for traditional industrial robots in APAC. Although China is expected to witness a decline in growth from 2020 onwards, due to trade restrictions and the COVID-19 pandemic, it is still likely to remain a significant market in APAC.

Some of the key players in the Industrial Robotics Market include FANUC, KUKA, Omron Adept, Doosan Robotics, ABB Group, Yaskawa Electric Corporation, Durr AG, Cyberdyne, Stryker, Kawasaki Heavy Industries Ltd., Mitsubishi Electric Corporation, B+M Surface Systems, Bosch Group, General Electric, Northrop Grumman, Denso Corporation, Nachi-Fujikoshi Corp., Seiko Epson Corporation, Panasonic Corporation, and Yamaha Motor Co., Ltd.

What the Report offers:

Key Topics Covered:

1 Executive Summary

2 Preface2.1 Abstract 2.2 Stake Holders 2.3 Research Scope 2.4 Research Methodology 2.5 Research Sources

3 Market Trend Analysis3.1 Introduction 3.2 Drivers 3.3 Restraints 3.4 Opportunities 3.5 Threats 3.6 End User Analysis 3.7 Emerging Markets 3.8 Impact of Covid-19

4 Porters Five Force Analysis4.1 Bargaining power of suppliers 4.2 Bargaining power of buyers 4.3 Threat of substitutes 4.4 Threat of new entrants 4.5 Competitive rivalry

5 Global COVID-19 Impact on Industrial Robotics Market, By Type5.1 Introduction 5.2 Traditional Industrial Robots 5.2.1 Parallel/Delta Robots 5.2.2 Cartesian/Gantry/Linear Robots 5.2.3 Articulated Robots 5.2.4 SCARA Robots 5.3 Vacuum Robotics 5.4 Laser Processing Robotics 5.5 Automated Guided Vehicles (AGVs) 5.6 Collaborative Robots 5.7 Other Robots 5.7.1 Swing Arm 5.7.2 Cylindrical 5.7.3 Spherical

6 Global COVID-19 Impact on Industrial Robotics Market, By Function6.1 Introduction 6.2 Material Handling 6.3 Cutting and Processing 6.4 Assembling & Disassembling 6.5 Painting & Dispensing 6.6 Soldering & Welding 6.7 Milling & Grinding

7 Global COVID-19 Impact on Industrial Robotics Market, By Configuration7.1 Introduction 7.2 Mobile Robots 7.3 Mounted Robots

8 Global COVID-19 Impact on Industrial Robotics Market, By Payload8.1 Introduction 8.2 0-20 KG 8.3 20-80 KG 8.4 80-300 KG 8.5 300-1000 KG 8.6 1000-3000 KG

9 Global COVID-19 Impact on Industrial Robotics Market, By Component9.1 Introduction 9.2 End Effector 9.3 Drive 9.4 Sensors 9.5 Power Supply 9.6 Motors 9.7 Robot Controller Unit 9.8 Robotic Arm

10 Global COVID-19 Impact on Industrial Robotics Market, By End User10.1 Introduction 10.2 Precision Engineering and Optics 10.3 Pharmaceuticals and Cosmetics 10.4 Automotive 10.5 Electrical and Electronics 10.6 Metals and Machinery 10.7 Chemicals, Rubber, and Plastics 10.8 Food & Beverages 10.9 Construction 10.10 Home Appliances 10.11 Agriculture

11 Global COVID-19 Impact on Industrial Robotics Market, By Subsystem11.1 Introduction 11.2 Software 11.3 Robot Machines 11.4 Peripherals & System Engineering

12 Global COVID-19 Impact on Industrial Robotics Market, By Geography12.1 Introduction 12.2 North America 12.2.1 US 12.2.2 Canada 12.2.3 Mexico 12.3 Europe 12.3.1 Germany 12.3.2 UK 12.3.3 Italy 12.3.4 France 12.3.5 Spain 12.3.6 Rest of Europe 12.4 Asia Pacific 12.4.1 Japan 12.4.2 China 12.4.3 India 12.4.4 Australia 12.4.5 New Zealand 12.4.6 South Korea 12.4.7 Rest of Asia Pacific 12.5 South America 12.5.1 Argentina 12.5.2 Brazil 12.5.3 Chile 12.5.4 Rest of South America 12.6 Middle East & Africa 12.6.1 Saudi Arabia 12.6.2 UAE 12.6.3 Qatar 12.6.4 South Africa 12.6.5 Rest of Middle East & Africa

13 Key Developments13.1 Agreements, Partnerships, Collaborations and Joint Ventures 13.2 Acquisitions & Mergers 13.3 New Product Launch 13.4 Expansions 13.5 Other Key Strategies

14 Company Profiling14.1 FANUC 14.2 KUKA 14.3 Omron Adept 14.4 Doosan Robotics 14.5 ABB Group 14.6 Yaskawa Electric Corporation 14.7 Durr AG 14.8 Cyberdyne 14.9 Stryker 14.10 Kawasaki Heavy Industries Ltd. 14.11 Mitsubishi Electric Corporation 14.12 B+M Surface Systems 14.13 Bosch Group 14.14 General Electric 14.15 Northrop Grumman 14.16 Denso Corporation 14.17 Nachi-Fujikoshi Corp. 14.18 Seiko Epson Corporation 14.19 Panasonic Corporation 14.20 Yamaha Motor Co., Ltd.

For more information about this report visit https://www.researchandmarkets.com/r/u6nkmr

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Global Industrial Robotics Market Outlook Report 2020-2027 with COVID-19 Impact Insights on the $100+ Billion Industry - GlobeNewswire

Going retro: A perspective on robotic retroperitoneal renal surgery – Urology Times

Posted on December 22, 2020 by Danzig

The majority of the literature on urologic robotic surgery centers around the transperitoneal approach. However, the robotic retroperitoneal approach is gaining momentum. The minimally invasive retroperitoneal approach to renal surgery was initially developed in the 1990s by urologists performing laparoscopic nephrectomies for benign conditions.1 They found that patients undergoing retroperitoneal laparoscopic nephrectomy resumed normal oral intake faster and had a trend toward lower postoperative narcotic requirements compared to their transperitoneal counterparts. Other groups adopted this technique and demonstrated shorter operative time,2,3 warm ischemia time, and hospital stay.3 However, the challenge of laparoscopic suturing in the retroperitoneal space may have prevented the widespread adoption of this approach. In the 2000s, urologists quickly embraced the robotic platform and now routinely perform robotic renal surgery employing the benefits of instrument articulation and 3D view.

These improvements in robotic technology have reinvigorated interest in retroperitoneal access for renal surgery. The robotic retroperitoneal approach again has been shown to decrease the length of hospital stay,4-6 decrease intraoperative blood loss,4,5 and shorten operative time.5,7 It offers direct access to the kidney without the need to mobilize the bowel and provides an avenue for urologists to avoid the hostile abdomen of a patient with prior abdominal surgery.8 Barriers to learning this technique may include the different perspective of hilar and renal anatomy, the smaller working space, and unfamiliarity with positioning, access, and docking the robot. However, once these are overcome, the benefits of retroperitoneal surgery are readily apparent.

Applications

The robotic retroperitoneal approach has been primarily implemented in partial nephrectomy cases but has also been used to perform radical nephrectomies,9 nephroureterectomies,10 pyeloplasties,11-13 and adrenalectomies.14,15 In the domain of partial nephrectomy, the retroperitoneal approach is thought to be especially useful for posterior and lateral tumors,15 but Arora et al showed that surgeons can take a retroperitoneal approach to anterior tumors without any difference in operative time, estimated blood loss, intra-operative complications, or postoperative complications.4

Benefits of the retroperitoneal approach

In retroperitoneal renal surgery, the kidney is quickly encountered after a brief dissection of the retroperitoneal space. Unlike transperitoneal surgery, there is no need to mobilize the bowel. The surgeon never encounters nor has to retract the liver or spleen. There is no need to kocherize the duodenum for right-sided cases, and the tail of the pancreas is never encountered on the left. The hilum, and particularly the renal artery, is readily accessible for clamping within minutes of docking without navigating the renal vein. This direct approach to the kidney and rapid hilar access with minimal dissection allows for a much shorter operative time compared with the transperitoneal approach.8 Any postoperative bleed or urine leak is contained in the retroperitoneum, which may prevent the development of an ileus and other morbidities.16 These benefits can be especially useful in patients with intra-abdominal adhesions, ventral hernias, or colostomies, or those who are on peritoneal dialysis, but can also be applied to routine renal or adrenal surgery. The proximal ureter, renal pelvis, adrenal gland, and regional lymph nodes have all been accessed using the retroperitoneal approach.

Key points on surgical technique

Patients should be placed in a full lateral decubitus position with the table slightly flexed to increase space between the ribs and iliac crest (Figure 1). An axillary roll is utilized, and the patient is secured and padded using a beanbag, foam, and tape. The camera port incision is made 2 fingerbreadths above the iliac crest in the midaxillary line. Blunt finger dissection is carried down to the thoracolumbar fascia, which is divided sharply with scissors. Development of the retroperitoneal space can be performed either using a finger or small balloon dissector. At this point, pneumo-retroperitoneum is established. Landmarks are identified, including the psoas muscle as the floor and transversus abdominus muscle as the ceiling, with the peritoneal reflection draping medially. A posterior 8-mm robotic port is placed under direct vision 8 cm from the camera port, and through this a Kittner laparoscopic dissector is used to medialize the peritoneal reflection. A second 8-mm robotic port is placed after the peritoneum has been mobilized. It is critical to place the anterior port after mobilizing the peritoneum to prevent the port from being placed transperitoneally. A 12-mm assistant port is subsequently placed just inferior and medial to the camera port in a similar fashion. Robotic port placement can be varied to optimize access to the lower versus upper pole of the kidney or retroperitoneal space. The robot is docked over the 12-mm camera port with a slight anterior rotation (Figure 2). Once the robot is docked, the kidney is elevated off the psoas muscle and the hilum is identified by the pulsation of the renal artery. When approaching the hilum, the renal artery is usually the first vessel encountered. If needed, the renal vein can be skeletonized. We do not routinely close the fascia of the port sites.

Conclusions

Robotic retroperitoneal surgery is a valuable technique in the surgeons toolbox. With more familiarity, surgeons can employ the benefits offered by this approach. We anticipate further advancements in this field in an effort to minimize postoperative morbidity and the use of health care resources. We also imagine the retroperitoneal approach in novel applications such as ureteroplasty and ureterolithotomy. The continued miniaturization and refinement of the robotic platform combined with improved surgeon comfort will facilitate future innovation and refinement of urologic surgery in the retroperitoneal space.

Koehne is a 5th-year urology resident at Loyola University Medical Center, Maywood, Illinois. Radtke completed a robotics/endourology fellowship at Loyola University Medical Center in June 2020 and is now in community practice in Green Bay, Wisconsin. Gupta is associate professor of urology, radiology, and surgery at Loyola University Medical Center.

References

1. McDougall EM, Clayman RV. Laparoscopic nephrectomy for benign disease: comparison of the transperitoneal and retroperitoneal approaches. J Endourol. 1996;10(1):45-49. doi:10.1089/end.1996.10.45

2. Desai MM, Strzempkowski B, Matin SF, et al. Prospective randomized comparison of transperitoneal versus retroperitoneal laparoscopic radical nephrectomy. J Urol. 2005;173(1):38-41. doi:10.1097/01.ju.0000145886.26719.73

3. Ng CS, Gill IS, Ramani AP, et al. Transperitoneal versus retroperitoneal laparoscopic partial nephrectomy: patient selection and perioperative outcomes. J Urol. 2005;174(3):846-849. doi:10.1097/01.ju.0000169259.49754.02

4. Arora S, Heulitt G, Menon M, et al. Retroperitoneal vs transperitoneal robot-assisted partial nephrectomy: comparison in a multi-institutional setting. Urology. 2018;120:131-137. doi:10.1016/j.urology.2018.06.026

5. Hughes-Hallett A, Patki P, Patel N, Barber NJ, Sullivan S, Thilagarajah R. Robot-assisted partial nephrectomy: a comparison of the transperitoneal and retroperitoneal approaches. J Endourol. 2013;27(7):869-874. doi:10.1089/end.2013.0023

6. Maurice MJ, Kaouk JH, Ramirez D, et al. Robotic partial nephrectomy for posterior tumors through a retroperitoneal approach offers decreased length of stay compared with the transperitoneal approach: a propensity-matched analysis. J Endourol. 2017;31(2):158-162. doi:10.1089/end.2016.0603

7. Choo SH, Lee SY, Sung HH, et al. Transperitoneal versus retroperitoneal robotic partial nephrectomy: matched-pair comparisons by nephrometry scores. World J Urol. 2014;32(6):1523-1529. doi:10.1007/s00345-014-1312-7

8. Wetterlin JJ, Blackwell RH, Capodice S, Kliethermes S, Quek ML, Gupta GN. Robotic-assisted laparoscopic partial nephrectomy: a comparison of approaches to the posterior renal mass. World J Clin Urol. 2016;5(1):60-65. doi:10.5410/wjcu.v5.i1.60

9. Patel MN, Kaul SA, Laungani R, et al. Retroperitoneal robotic renal surgery: technique and early results. J Robot Surg. 2009;3(1):1. doi:10.1007/s11701-009-0123-0

10. Rose K, Khan S, Godbole H, Olsburgh J, GUYs and St. Thomas Robotics Group. Robotic assisted retroperitoneoscopic nephroureterectomy: first experience and the hybrid port technique. Int J Clin Pract. 2006;60(1):12-14. doi:10.1111/j.1368-5031.2006.00703.x

11. Kaouk JH, Hafron J, Parekattil S, et al. Is retroperitoneal approach feasible for robotic dismembered pyeloplasty: initial experience and long-term results. J Endourol. 2008;22(9):2153-2159. doi:10.1089/end.2008.0130

12. Cestari A, Buffi NM, Lista G, et al. Retroperitoneal and transperitoneal robot-assisted pyeloplasty in adults: techniques and results. Eur Urol. 2010;58(5):711-718. doi:10.1016/j.eururo.2010.07.020

13. Olsen LH, Rawashdeh YF, Jorgensen TM. Pediatric robot assisted retroperitoneoscopic pyeloplasty: a 5-year experience. J Urol. 2007;178(5):2137-2141. doi:10.1016/j.juro.2007.07.057

14. Park JH, Kim SY, Lee CR, et al. Robot-assisted posterior retroperitoneoscopic adrenalectomy using single-port access: technical feasibility and preliminary results. Ann Surg Oncol. 2013;20(8):2741-2745. doi:10.1245/s10434-013-2891-z

15. Koehne EL, Bajic P, Gupta GN. Robotic-assisted laparoscopic retroperitoneal adrenalectomy. Surg Oncol. 2019;31:7. doi:10.1016/j.suronc.2019.06.005

16. Patel M, Porter J. Robotic retroperitoneal surgery: a contemporary review. Curr Opin Urol. 2013;23(1):51-56. doi:10.1097/MOU.0b013e32835b61f4

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Going retro: A perspective on robotic retroperitoneal renal surgery - Urology Times

Global Telepresence Robots Market 2020 | (COVID 19 Analysis) Offered In New Most recent Research Report with Forecast 2026 – The Courier

Posted on December 22, 2020 by Danzig

The globalTelepresence Robots Marketresearch report enlists the vital and practical information with regards to market situation. The present scenario of Telepresence Robots market, along with its previous performance as well as future scope are covered in the report. This eases the users understanding of the market thoroughly, while also gaining knowledge about market opportunities and the dominant players DJI, Inbot Technology PadBot, Revolve Robotics, Suitable Technologies, Orbis Robotics, QinetiQ, Vgo, Vecna Technologies, iRobot, InTouch Technologies, Double Robotics, Mantaro Product Development Services, Awabot, Anybots in the Telepresence Robots market.

Request for a FREE sample of Telepresence Robots market research report@https://www.marketresearchstore.com/report/global-telepresence-robots-market-report-2020-industry-analysis-765303#RequestSample

The Global Telepresence Robots Market Research Report Details

The beginning of the report summarizes the market with the definition of the overall Telepresence Robots market.

The following section includes Telepresence Robots market segmentation Static Telepresence Robots, Moving Telepresence Robots. Segmentation is done on the basis of application, type, end-user industries, and several such factors among others.

We have strived to include sub-segments Corporate, Healthcare, Homecare & Rehabilitation, Education, Others in segmentation section, wherever possible. Also included are details regarding the dominant segments in the worldwide Telepresence Robots market.

The global Telepresence Robots market has also been classified on the basis of regions. On the basis of the regional diversification, details regarding market share and size have also been obtained.

In the succeeding part, growth factors for the Telepresence Robots market have been elucidated. This section also explains the technological advancements made to improve market size and position. Also enlisted is the information pertaining to the end-use industries for the Telepresence Robots market.

Read Detailed Index of full Research Study at::https://www.marketresearchstore.com/report/global-telepresence-robots-market-report-2020-industry-analysis-765303

Telepresence Robots Market COVID-19 Impact Analysis

As the world is still dealing with COVID-19 situation, many of the countries have slowly started to revive its economic situation by starting its trade and businesses. There has been enormous loss in these few months both in terms of economy and human lives. As the WHO has already suggested that there are very less chances that the virus will completely go, hence we will have start living with it. Many of the drug companies are getting positive response of their COVID-19 vaccines, but there is still time for its availability in the global market.

There are 15 Sections to show the global Telepresence Robots market

Sections 1, Definition, Specifications and Classification of Telepresence Robots , Applications of Telepresence Robots , Market Segment by Regions;Section 2, Assembling Cost Structure, Crude Material and Providers, Assembling Procedure, Industry Chain Structure;Sections 3,Technical Data and Manufacturing Plants Analysis of Telepresence Robots , Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;Sections 4, Generally Market Analysis, Limit Examination (Organization Fragment), Sales Examination (Organization Portion), sales Value Investigation (Organization Section);Sections 5 and Six, Regional Market Investigation that incorporates United States, China, Europe, Japan, Korea and Taiwan, Telepresence Robots segment Market Examination (by Sort);Sections 7 and Eight, The Telepresence Robots Segment Market Analysis (by Application) Major Manufacturers Analysis of Telepresence Robots ;Sections Nine, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type Static Telepresence Robots, Moving Telepresence Robots Market Trend by Application Corporate, Healthcare, Homecare & Rehabilitation, Education, Others;Sections 10, Regional Promoting Type Investigation, Worldwide Exchange Type Examination, Inventory network Investigation;Sections 11, The Customers Examination of global Telepresence Robots;Sections 12, Telepresence Robots Research Findings and Conclusion, Appendix, system and information source;Sections 13, 14 and 15, Telepresence Robots deals channel, wholesalers, merchants, traders, Exploration Discoveries and End, appendix and data source.

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Particulars Of The Global Telepresence Robots Market Research Report

Further part in the report enlists the restraining factors for the Telepresence Robots market growth. The restraints are explained comprehensively and with details in order that the client can comprehend how these factors are affecting the global Telepresence Robots market and how such factors can be tackled effectively using suitable measures.

Also, regional study and analysis of global Telepresence Robots market focused on in the report. Here, the major regions with Telepresence Robots market establishment have been explained thoroughly. Due to this, our clients will have clarity in understanding the booming markets as well as the potential Telepresence Robots markets in the near future.

The concluding section relates to the conclusions and observations regarding the global Telepresence Robots market.

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Global Telepresence Robots Market 2020 | (COVID 19 Analysis) Offered In New Most recent Research Report with Forecast 2026 - The Courier

Why not enlist the help of artificial intelligence to nudge people to mask up? – Houston Chronicle

Posted on December 22, 2020 by Danzig

Over the course of the COVID-19 pandemic, plenty of evidence has emerged that wearing face masks cuts down on disease transmission and saves lives. Yet even in cities and states that have mandated mask use, compliance in the United States has been unenthusiastic. And good luck finding a law enforcement officer eager to enforce those mandates.

So heres an idea: Why not enlist the help of artificial intelligence to nudge people to mask up?

Seattle software company RealNetworks has developed an app and data platform that aims to promote mask use and address the safety concerns of businesses, governments and other organizations. The app - dubbed MaskCheck - uses AI and a tablets camera to detect whether a passer-by is not wearing a mask or wearing one improperly (in particular, by covering the mouth but leaving the nose free to inhale and exhale virus-laden air).

On HoustonChronicle.com: Houston's Onit acquires New Zealand AI company

The company is offering the software for free in partnership with the COVID-19 International Research Team, a grass-roots effort by scientists around the world to advance efforts to defeat the pandemic.

In its simplest deployment, the app could be used on kiosks in foyers to check mask usage and alert people when theyre not wearing one properly (or at all), while also showing them the right way to cover their faces. Or it could silently gather data on compliance that could help inform policymakers - for example, in determining whether a mask mandate could enable certain businesses and activities to reopen safely.

For those of us frustrated by the stubborn resistance to face coverings in this country, MaskCheck seems like a good way to prod people to put up with a minor inconvenience in the name of public health. And a flat screen on a pedestal at an entrance or in a hallway can deliver the message without provoking a deadly confrontation, an outcome that seems ludicrous yet has been all too real.

The software is trying to address a problem that extends in multiple directions. The people who are concerned about contracting COVID-19 are avoiding places where theyre likely to share space with unmasked strangers. Business owners and employees may let customers go maskless for fear of alienating them or provoking a fight. And with little more than anecdotal evidence about mask compliance, policymakers draw up pandemic countermeasures based on assumptions about risk that may not be true.

I think well make better policy decisions if we have more data, said Rob Glaser, chief executive of RealNetworks. The company plans to make anonymized, aggregated data collected by the MaskCheck app freely available, so researchers and policymakers can see how well mask mandates are or are not working.

RealNetworks may be best known for its RealAudio technology, which gave rise to the streaming media industry in the 1990s. But MaskCheck grew out of the companys work on facial recognition technology, which is just a wee bit more controversial than webcasting and online music services.

Reza Rassool, RealNetworks chief technologist, emphasized that MaskChecks artificial intelligence isnt a facial recognition program. It does not identify people, it just detects the presence of a human face and the position of a mask, if one is being worn. If the person using the app chooses, though, it can estimate the age and gender of each person observed, and it can capture their images, Rassool said.

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Age and gender might be useful in helping policymakers get a demographic breakdown on mask compliance. But theres a trade-off to this utility; the more information the app captures and records, the more it raises the sort of surveillance-state hackles that facial recognition programs do.

The problem with mask mandates today is mainly a political one - a sense by many Americans that the government shouldnt have the power to force them to breathe filtered air. Despite estimates that universal mask use could save tens of thousands of lives, roughly half the population goes out in public without one, and theres little effort to force a change.

Its easy to imagine the app being deployed in more aggressive ways - for example, tied electronically to a door lock to prevent unmasked people from entering a building. But RealNetworks isnt going in that direction now. Its counting on its partnership with the COVID-19 International Research Team to spread the app organically to institutions, governments and businesses across the country in an effort to generate more mask wearing voluntarily.

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Why not enlist the help of artificial intelligence to nudge people to mask up? - Houston Chronicle

Congress wants an inventory of all AI projects at the Pentagon – C4ISRNet

Posted on December 22, 2020 by Danzig

WASHINGTON The Pentagons top artificial intelligence office must create an inventory of all ongoing AI activities across the department and services, under a new spending bill expected to pass.

The director of the Joint Artificial Intelligence Center has four months to deliver a report to Congress that details each artificial intelligence activity to give lawmakers a clearer sense of how money is spent on the projects. The requirement is one piece of a huge spending bill with pandemic relief that lawmakers are rushing to approve and President Trump is expected to sign.

The agreement is concerned ... about a lack of coordination among the myriad of artificial intelligence programs within the department and the military services, lawmakers wrote in their notes on the proposal.

The inventory that the JAIC delivers to Congress must include each programs appropriation, project and line number; the current and future years defense program funding; the identification of academic or industry mission partners, if applicable; and any planned transition partners.

The JAIC is tasked with accelerating the adoption of artificial intelligence across the Department of Defense. Lawmakers increased the JAICs operations funding $5 million to account for new commercial geospatial analytics efforts, bringing its total operations funding up to $137 million.

The inventory mandate follows a July 1 report from the departments inspector general that found that the JAIC needed better processes in place to track AI projects across the department.

An AI inventory management process for identifying and developing a baseline of AI projects is necessary to maintain awareness of the types and number of AI projects across the DoD, the inspector general wrote.

At the time, the departments chief information officer, who oversees the JAIC, told the inspector general that the office required services to report AI projects through a budget process. Creating an inventory of all ongoing artificial intelligence projects is no small feat with disparate efforts across each service and their respective research labs.

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The JAIC wants to become the central AI repository for the Defense Department, providing services and combatant commands with software tools and platforms to develop artificial intelligence tools. The organization plans to do that through its Joint Common Foundation, a platform that will be available early next year.

The JAIC will also increase its work with Pentagon components in 2021 by offering services ranging from AI readiness assessments to assistance with more complex capabilities as part of the offices shift to JAIC 2.0, an organizational realignment announced earlier this year to better meet the needs of the war-fighting community.

We think that our transformational value will be much better in the enablement space, Lt. Gen. Michael Groen, JAIC director, said in November. We obviously will continue to do products, well continue to work on some of the high-end, game-changing technologies and programs. But we really want to start a tide that rises all boats across the department.

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Congress wants an inventory of all AI projects at the Pentagon - C4ISRNet

The influence of artificial intelligence on the banking industry – Latest Digital Transformation Trends | Cloud News – Wire19

Posted on December 22, 2020 by Danzig

Artificial Intelligence (AI), just like all the other sci-fi technological advancements, used to be something that we read about in fiction novels and watch documentaries about with our family on Nat Geo. That was basically it. Its integration within our everyday lives was still quite far ahead.

However, things are much different now. Thanks to the exponential growth of machine learning and computer programming power in the last decade.

Artificial Intelligence is basically meant to be an imitation of human intelligence with some extensions added on top of it to make it more useful like a calculator that can give you solutions to your math problems without you having to spend time thinking about it for yourself.

In todays time, the question isnt about when artificial intelligence will be integrated in our everyday lives, but about how much of it is already there. A quick example (for all you millennials out there) would be the filters you might have seen and probably even use day-to-day on your social media apps like Instagram or Snapchat.

Another great example would be the voice assistant in your smartphone, probably Googles Google Assistant if you are an android user or Apples Siri if you are an iOS user. These assistants, in fact, are nothing but AI software designed to make your everyday life easier through voice recognition technology.

Pretty cool, right? We think so too. However, artificial intelligence isnt just about goofy filters or voice assistants that often get your command wrong and end up sending you directions to your nearby restaurant when you simply wanted to know what the weather will be like tomorrow morning.

Seeing how incredibly game-changing AI tech is, it didnt take us humans long to try to integrate it with almost every single part of our lives. From actual gaming to software that manage finances of multi-billion dollar industries, AI is incredibly powerful and certainly something that is revolutionizing the world as we speak.

Today, we are going to be exploring one of such use-cases of artificial intelligence: how it influences the banking industry and how the changes that it makes will affect global finance systems.

Before getting into the details, lets talk why such a dramatic change in the banking industry and almost every other industry was inevitable. All of that because of key reason: information.

Today, the average customer is not someone who needs to be told about the functionalities of the products or services they are consuming, but rather someone who already happens to be quite knowledgeable.

All of this, of course, is because of the internet and the information stored in it which is easily publically accessible to almost every single person on the planet. Today, people are more tech-savvy and exposed to advanced technologies in their everyday lives.

Thats why, competition is even fiercer between companies because better alternatives are always available to the potential customer. This led to an increase in the expectations of the customers with regards to the offerings made by companies.

The same applies for the banking industry. Because of this inevitable occurrence, banks are expected to be more efficient, secure, reliable, and fast. Thankfully, AI technology helps deliver almost all of those requests.

In fact, according to a recent research study, artificial intelligence is going to help financial institutions save about $1 trillion in project cost savings. Some stats by Accenture even show that AI will add $1.2 trillion in value to the financial industry by the year 2035.

Not just that, but artificial intelligence is an excellent way to minimize daily operational costs for financial institutions since they make for a great replacement against human employees who have to deal with a lot of repetitive and monotonous tasks like paperwork.

Through artificial intelligence, not only will banks and financial institutions be able to save time and minimize costs, but also increase overall productivity and eliminate error-prone human processes.

On top of that, AI will also make financial transactions really secure with better accountability allowing for reduced cases of money laundering making the job of regulatory bodies such as the FATF relatively easier.

All of these combined makes use for a great opportunity for banks to ditch manual and repetitive activities to AI-based software and focus more on spending time with high-value tasks and create better plans and services for clients that are more personalized and offer greater levels of customer satisfaction.

This might come off as a bit counter-intuitive to some people for obvious reasons. The general question that you might have in mind is that how is an AI software supposed to be better at handling humans than actual humans?

The answer is the same reason why most people today prefer withdrawing their money from an ATM rather than talking to an employee of a bank its faster, more convenient, and frankly, easier than starting a conversation.

Through the application of AI tech, banks can exercise use of AI chatbots and voice assistants that can be optimized in a way that makes them able to handle almost any inquiry of the customer especially at the times when a human employee might be off duty i.e. at night or on holidays.

An AI software wouldnt need a vacation or an increase in salary to increase its morale to keep it working at peak performance unlike an actual human being. It only requires occasional maintenance, if so.

Moreover, any skill that takes days or even weeks to be taught to a human employee, can be installed in an AI-backed software within a few hours using codes. All of this ultimately means 247 available service for the customer irrespective of their time zone, location, or requirements.

The best part about all of this is that AI software are always learning and bettering themselves by gathering new information from every person, every transaction, every activity, and every new feature that is being added to it.

In the coming times, it is predicted that artificial intelligence will completely replace most of the jobs in the banking as well as other industries and completely revolutionize the way we experience consumerism.

Thank you for reading this article. We hope we were able to help you gain some insight on the topic of artificial intelligence and how it influences the banking industry as a whole.

Read Next: How AI will help and change the remote work

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The influence of artificial intelligence on the banking industry - Latest Digital Transformation Trends | Cloud News - Wire19

Application of artificial intelligence in the field of treatment and medicine – Tehran Times

Posted on December 22, 2020 by Danzig

It has always been said that artificial intelligence is supposed to make human life easier and better. One of the fields in which artificial intelligence can be very effective and improve the quality of human life is treatment, health, and medical services. In general, the use of artificial intelligence in therapeutic and medical processes and makes great help for doctors and patients, as well as for hospitals that use this technology.

Artificial intelligence has numerous applications in medicine and treatment. The meaning of these countless users is that from recognizing the connection between genetic codes to using artificial intelligence robots for difficult surgeries, everyone is among the users of artificial intelligence in the field of medicine. With all these applications, artificial intelligence has been able to create a modern course in health services and take it to another level.

Use artificial intelligence to more accurately diagnose and reduce medical errors

In 2015, 10% of deaths in the United States were due to misdiagnosis and medical errors. For this reason, one of the most important tasks of artificial intelligence in the field of treatment and medicine can be to reduce medical errors and help correctly diagnose diseases.Lack of accurate and complete information about people's medical records is one of the important reasons that can lead to costly and deadly medical errors. Given all this information, artificial intelligence can predict or diagnose a disease very quickly. In one study, for example, an artificial intelligence model using algorithms and in-depth learning performed better than 11 other pathologists in diagnosing breast cancer.

Development of new drugs based on artificial intelligence

The pharmaceutical industry always has a lot of money for research and development, which requires thousands of hours of time and thousands of manpower, which requires huge budgets. Statistics show that medical tests on each drug cost about $ 2.6 billion, while only 10 percent of the drugs tested can be marketed. Due to all these cases, pharmaceutical companies have started to use artificial intelligence due to the many applications that artificial intelligence can have in this field.

One of the most important milestones in the use of artificial intelligence in drug production was in 2007. This year, researchers tried to study the function of yeasts using a robot called Adam. Adam predicted billions of data points in public databases to hypothesize the function of 19 genes in yeast and predicted nine new and accurate hypotheses. Adam's robot friend, Eve, discovered that triclosan, a key ingredient in toothpaste, could fight malaria parasites.

Simplify and streamline the treatment process for patients using artificial intelligence

In the healthcare industry, time is equal to money and capital. Providing an effective patient experience allows hospitals, clinics, and physicians to receive and treat more patients on a daily basis.

In 2016, more than 35 million patients were admitted to U.S. hospitals, each with different diseases and different insurance coverage that creates different conditions. A 2016 study of 35,000 physicians found that 96% of patient complaints about lack of customer service were confusion about paper games and negative experiences with service delivery.

New AI innovations in the healthcare industry can improve the patient experience and help hospital staff process millions of data points faster and more efficiently.

Collect and manage medical data and information using artificial intelligence

One of the next frontiers to be conquered by big data will undoubtedly be the healthcare industry. Valuable information is sometimes lost in the millions of data, causing the industry to lose hundreds of billions of dollars. In addition, the inability to connect important data points slows down the development of new drugs, the production of prophylactic drugs, and the proper detection process.

Many healthcare professionals have turned to artificial intelligence to prevent these losses. This technology has the ability to analyze millions of data in minutes and extract information from which we need to spend a lot of time to obtain them

Get help from robots based on artificial intelligence in surgery

In recent years, the use of robots in surgery has become somewhat popular. Hospitals use robots in many areas, from minimally invasive treatments to open-heart surgery. According to a U.S. clinic, robots help physicians perform complex treatments with precision, flexibility and control that go beyond human capabilities.

Robots equipped with cameras, mechanical arms and surgical instruments increase the experience, skills and knowledge of physicians to create a new type of surgery. Surgeons control these mechanical arms using a computer. The robot gives the doctor a three-dimensional view with a magnification of the surgical site on the patient's body, which was not possible before and doctors used to rely only on the power of the eyes. Finally, this robot can guide the surgeon and the whole team.

Robotic surgeries reduce the risk of surgery, and the patient will feel less pain after surgery. In addition, in robotic surgeries, the patient's recovery time is reduced.

Application of artificial intelligence in the field of treatment and medicine - Tehran Times

Delivering Proactive Mental Healthcare With Artificial Intelligence – HealthITAnalytics.com

Posted on December 22, 2020 by Danzig

December 17, 2020 -While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a persons mental health as well a trend that has only grown more common with the spread of COVID-19.

A recent survey revealed that 50.7 percent of cancer patients had symptoms of anxiety during the pandemic, while 46.8 precent reported having depression. People with cancer are also feeling the economic impact of coronavirus: In a separate study, 38 percent of patients said the pandemic has had negative consequences on their financial situation, hindering their ability to pay for care.

At the Center for Cancer and Blood Disorders in Texas, providers understood that improving cancer outcomes would require a comprehensive view of patient health.

We realized very quickly that if we were going to successfully control costs and provide high-quality healthcare for cancer patients, we would have to risk manage our patients, Ray Page, PhD, an oncologist and hematologist at the Center for Cancer and Blood Disorders in Forth Worth and Weatherford, told HealthITAnalytics.

It's mandatory that we identify our most vulnerable patients the ones that are most likely to get sick and have adverse outcomes to better manage them.

READ MORE: Over 80% of Health Execs Have Artificial Intelligence Plans in Place

In order to better understand which patients were at risk and why, the organization leveraged a clinical artificial intelligence solution from Jvion that examines individuals clinical and socioeconomic factors.

We identified seven different vectors, two that we consider high risk vectors, said Page.

We wanted to see if we could stratify those risks of the thousands of patients in our practice and anticipate which ones would deteriorate in the next six months: who would get depression, who would end up in the hospital or emergency room, who would experience an increase in pain that would require drugs, or who would die.

By stratifying patients into those risk categories, Page and his colleagues are able to use the resources available to them to better manage patient care and improve outcomes. Providers can refer patients to relevant clinical and non-clinical services, Page noted.

We have caseworkers that review and identify all these high-risk patients, who make sure that these patients are doing well and offer patients the opportunity to use our ancillary services, he said.

READ MORE: Artificial Intelligence Method Builds in Error for Better Models

But we also have a patient navigator, a social worker, a nutritionist, on-site rehabilitation, and pre-rehabilitation for people that are getting prepared for their chemo and radiation. We have a psychologist, we have a pain doctor, and we have an acupuncturist. With this AI tool, we can plug those people into the service lines that are most needed for them.

The entity also has practices in place that helped ensure the seamless integration of the tool.

Our physician board has, in essence, pre-prescribed orders. If we have a case worker or a case manager that identifies one of our patients as being high risk in a certain vector, an automatic consult occurs, Page explained.

A physician doesn't have to make that call; it's already a standing order. That makes the whole clinical workflow and the clinical process smoother and easier.

The platform can provide clinicians with information they may not otherwise be able to discover during visits with patients, Page stated.

READ MORE: Study Uses Artificial Intelligence for Alzheimers Drug Development

As a busy doctor, where you're seeing 30 patients a day and they're all very sick, you're squeezed for your time with the patients. You may get seven to ten minutes of face-to-face time with the patient. Most of that face-to-face time is dealing with clinical issues, like nausea, vomiting, pain, cancer progression, and the next phase of chemotherapy. And then you're moving on to the next patient, he said.

We don't really have the opportunity to talk about what their life situation is, their nutritional issues, or how theyre getting their bills paid. There is no way that a clinician can vet that.

With the help of AI and advanced analytics, providers can get a more holistic view of patient health, and use that information to better meet patients needs.

If you have an AI tool that is analyzing at least 4,000 of those relational social determinants of health, it can help the clinician become aware of any non-clinical challenges that their patients may be facing. It becomes a great additive tool, and it can allow us to go way beyond what we typically have time for as providers, Page said.

In order to get the best outcomes in cancer, and to help patients get the best benefits from their therapy, you've got to optimize their health as much as possible. This AI solution enables us to use the appropriate resources in our organization to make our patients healthier and happier.

Although the technology can help enhance the capabilities of clinicians, Page emphasized that the tool doesnt eliminate all of the challenges that can come with being human.

These AI tools learn very fast with feedback and by following trends and patients over time. A supercomputer or a powerful machine that has analyzed all these data elements can learn much quicker than humans do, he said.

However, this is a learning process. Even when we identify patients that are at high risk of having adverse outcomes, and we throw every resource known to man to make their situation better, sometimes you still have a patient that doesn't want to modify their behaviors or they don't want resist pain. You're still dealing with humans and the human condition.

With consistent development and refinement, Page stated that AI solutions will become more widespread throughout the field of oncology.

As we learn and become more efficient with these tools, and we start analyzing more real-world data, the technology is going to continue to be integrated into cancer centers and clinics, he concluded.

AI will optimize outcomes and make cancer-related outcomes better for everybody. Tools like these allow us to proactively identify patients that are depressed, and approach and manage them so they can have the best mental state as they're dealing with their cancer.

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Delivering Proactive Mental Healthcare With Artificial Intelligence - HealthITAnalytics.com

Using Artificial Intelligence To Transform An Industry? Nominations For The 2021 AI 50 List Are Open – Forbes

Posted on December 22, 2020 by Danzig

AI isn't just for robotaxis.

Artificial intelligence technology is powering change across all industries, but its not always easy to separate the companies with truly transformative applications from marketing hype. Thats why Forbes annually compiles an annual list of the most promising startups emerging as leaders in this space.

Is AI central to what your company does, not just a driver for an auxiliary business or a tool to improve an existing product? We want to hear from you.

Nominations are now open for the third annual Forbes AI 50 list, which highlights private companies using artificial intelligence to solve difficult problems, create innovative services and effect positive change.

Read More: Americas Most Promising Artificial Intelligence Companies

Forbes, in partnership with Sequoia Capital, will evaluate hundreds of companies serving a range of industries and consider metrics including AI talent, revenue, growth and valuation. A panel of expert judges will also assess how innovative and essential AI is to each applicant companys business.

We welcome any U.S.-based (or Canadian) private company to apply by filling out this form. The deadline for submissions is Tuesday, January 19. (The number of nominations wont influence our selection, so stick to just one submission per company, please.)

We look forward to hearing from you!

From Los Angeles, the U.S. capitol of cars and congestion, I try to make sense of technology-driven changes reshaping how we get around. Find me on Twitter at

From Los Angeles, the U.S. capitol of cars and congestion, I try to make sense of technology-driven changes reshaping how we get around. Find me on Twitter at @alanohnsman

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Using Artificial Intelligence To Transform An Industry? Nominations For The 2021 AI 50 List Are Open - Forbes

Artificial intelligence is intertwined in precision agriculture – AGDAILY

Posted on December 22, 2020 by Danzig

Artificial intelligence which is agricultures other AI and also referred to as deep learning or machine learning (ML) interacts with us every day. From Siri, to Alexa, to cars that help you drive and park, to algorithms that serve you ads, news, job and home listings, to suggestions for what music and news to listen to, its there. The goals of artificial intelligence include learning, reasoning, and perception the computer programs write themselves, get better the more data they are fed to learn from (co-called Big Data), and we dont really know how they do it.

Agriculture is one of the oldest and most important professions; worldwide it is a $5 trillion industry. The global population is expected to reach more than 9 billion by 2050, and agricultural production will need to more than double (70 percent) to fulfill the demand. Land, water, and resources are already becoming insufficient due to multiple economic, environmental, and sociological forces. A smarter, more efficient, and even more productive approach for the supply-demand chain is urgently needed.

Artificial intelligence technologies are poised to yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain. Internet of Things (IoT) technologies and advanced analytics help farmers analyze real time data like weather, temperature, moisture, prices, or GPS signals.

A few examples of AI- or ML-enabled technologies are:

Farmers are contributing to the development of these high-tech scientific accomplishments: collecting the big data to feed and train these AI models, and helping to prove drone and robot technology for precise cultivation for higher crop yield and better quality while using fewer resources for the betterment of the entire industry. It is estimated that farmers generate over 4.1 million data points per day, and have already deployed over 75 million Internet of Things (IoT) interconnected devices.

AI will allow farms of all sizes to meet the challenges of the 21st century and beyond.

Dr. Carol Lynn Curchoe is the founder of32ATPs, and is a scientist, teacher, consultant, advisor, and author. You canfind her on Twitter.

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Artificial intelligence is intertwined in precision agriculture - AGDAILY

UC convenes Artificial Intelligence Working Group to harness innovative technology, establish guardrails for equitable and ethical use – University of…

Posted on December 22, 2020 by Danzig

Artificial intelligence (AI) machines or computer programs capable of learning and problem-solving to perform tasks that typically require humans can make people and organizations more efficient. At the same time, these technological advances can prompt serious concerns around privacy, equity and safety.

In response to this societal challenge, the University of California formed a Presidential Working Group on Artificial Intelligence in early 2020 that brings together leading campus experts to determine how UC can harness the significant benefits offered by AI while ensuring its responsible use.

AI can help UC operate better in many ways such as reducing biases inherent in human decision-making, strengthening cybersecurity and improving the quality of health care, said Stuart Russell, professor of computer science at UC Berkeley, co-chair of the working group and a world-renowned expert on the development and ethical deployment of artificial intelligence. The work of this panel places UC at the forefront of developing principles and standards for the ethical use of AI in a university setting.

Forms of AI, such as machine learning and predictive modeling, have been used for decades to help people streamline their work by automating time-consuming or complex tasks. Today, AI is used for everything from financial fraud detection to identifying terrorism suspects. When used correctly, it has shown promise in uncovering unconscious bias in the selection of job applicants, or in improving health care outcomes by more thoroughly and rapidly processing patient health metrics, data and images.

Areas where AI can most benefit UC operations include health, human resources, campus safety and student experiences, such as admissions and grading. If not thoughtfully implemented and monitored, AI can have unintended consequences such as reinforcing human biases, misidentifying an individual through facial recognition, inadvertently revealing private information or failing to accurately diagnose a patients symptoms.

The University of California is an ideal place for the thorny undertaking of defining safe and ethical uses for AI, said UC President Michael V. Drake, M.D. We have the intellectual horsepower in technology, law, ethics and other disciplines to realize the benefits of AI while establishing necessary, practical safeguards.

UCs AI Working Group has the potential to positively impact artificial intelligence beyond the Universitys own uses. Because of UCs size and stature as a preeminent public research university as well as Californias third-largest employer, its guidelines for ethical development and implementation of AI could influence standards within academia, business and government worldwide.

The AI Working Groups University of California Ethical Principles, slated for publication in January 2021, will focus on transparency, fairness and accountability. A full report on AI governance and technical recommendations for the University is expected in fall 2021.

In addition to Russell, UCs AI Working Group is co-chaired by Brandie Nonnecke, director of the CITRIS Policy Lab at UC Berkeley, and Alex Bustamante, senior vice president and chief compliance and audit officer in UCs Office of the President. Members of the working group draw from faculty, staff and researchers at all 10 UC campuses. A complete list is on the website of the UC Office of the President.

The presidential group was launched by the UC Office of the Presidents Office of Ethics, Compliance and Audit Services (ECAS) and the CITRIS Policy Lab, which is housed within CITRIS and the Banatao Institute.

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UC convenes Artificial Intelligence Working Group to harness innovative technology, establish guardrails for equitable and ethical use - University of...

Spin Announces Cutting Edge On-Vehicle Artificial Intelligence (AI) Platform To Bring Sidewalk Riding and Parking Detection Technology to Cities…

Posted on December 22, 2020 by Danzig

Spin To Bring Sidewalk Riding and Parking Detection Technology to Cities Across the United States and United Kingdom

Spin Insight Level 2, powered by Drover AI's groundbreaking computer vision and machine learning platform, equips Spin's vehicles with a camera, an array of sensors, and on-board computing power. By leveraging powerful Artificial Intelligence (AI) tools, Drover's technology is highly adaptive and easily scaled to new environments, allowing an e-scooter to understand its surroundings in real time and assist riders in making safe riding decisions.

This week, Spin included Spin Insight Level 2 in a proposal for the first time as part of the e-scooter permit application for New York City. If Spin is awarded a permit in New York City, the City will receive the first large-scale deployment of Spin's sidewalk riding and improper parking solution starting in the Spring.

"Spin is proud of its record of collaboration with cities to develop solutions that benefit their citizens. We are excited to partner with Drover, who have proven to have the best-in-class micromobility AI technology, to power Spin Insight. This is Spin's latest step in building trust in e-scooters among consumers and cities by enabling technology that creates a safer riding experience for riders and pedestrians. With nearly all municipalities prohibiting scooter use on sidewalks, Spin Insight data in combination with Spin's in-app mapping technology that enables riders to find routes that maximize bike lane use can be used as a key tool by cities to help enforce local regulations and promote safe riding behaviors in dense, urban environments like New York City," said Derrick Ko, Chief Executive Officer at Spin.

Additionally, the technology will enable Spin to share accurate insights with cities about the prevalence and location of sidewalk riding and bike lane riding, which can be used to identify potential congestion issues and road damage and highlight areas that may benefit from infrastructure improvements.

Akin to advanced driver assistance systems (ADAS) that use on-board sensors to help automobile drivers park, brake, and stay in their lanes, Spin Insight Level 2 has the ability to combine the latest in sensor and artificial intelligence technologies to enable local regulation compliance enforcement and create a safer experience for riders and pedestrians. "We are building the ADAS for micromobility. Spin Insight Level 2 is designed to create a safer riding experience, with the potential to unlock everything from slowing speeds on sidewalks to forward-collision warnings." said Derrick Ko, Chief Executive Officer at Spin.

"In a unique approach, Drover's use of edge-based machine learning produces a highly nimble and scalable solution that doesn't depend on availability of GPS, ground truth information or network-based validations. We are very excited to be working with Spin in this effort to deploy Drover's AI-powered technology in the rapidly evolving micromobility space with the ultimate goal of ensuring safe, responsible and compliant deployments for all stakeholders in cities," said Christian Scheder-Bieschin, Co-founder & Chief Executive Officer at Drover AI.

Spin will continue to build off of this technology and its Spin Insight platform to further enhance vehicle durability and safety. Future capabilities are planned to include ADAS-like features such as detecting wrong-way riding, adjusting vehicle speed based on riding conditions, and collision warnings.

To download the press kit containing visual assets, visit thislink.

Spin Insight

Spin Insight Level 1 Capabilities: TodaySpin Insight Level 1 capabilities were firstlaunched in 2017. This includes:

Spin Insight Level 2, Powered by Drover AI's PathPilot: Spring 2021Spin Insight Level 2 unlocks new capabilities including:

Future Levels

Dynamic control of top vehicle speed, including no-ride and slow-ride zone detection Virtual parking and no-parking zone support Tip over detection Theft and hacking deterrence, including: Unexpected behavior detection Wheels auto-locking and throttledeactivation Audio alarms Real time feedback from onboard sensors to monitor the health of critical vehicle elements, including but not limited to the battery voltage and temperature Battery Motor Control board systems And more

Real-time sidewalk riding detection triggering audible warnings for the rider and pedestrians nearby Real-time bike lane riding detection Real-time scooter/bike rack detection for proper parking validation Riding behavior and infrastructure insights to enforce local regulations and promote safer riding

Enhanced vehicle monitoring system for improved durability and lifespan, with machine learning (ML) based predictions Wrong-way riding detection system Forward collision detection system

About SpinHeadquartered in San Francisco, Spin is one of the leading micromobility companies and a unit of Ford Mobility. Spin has been recognized for launching the first stationless mobility program in the United States and was instrumental in crafting the world's first mobility permit system. As a trusted and reliable partner, Spin currently operates electric scooters in many cities and universities nationwide in the U.S. and Europe. Spin consists of a diverse team of experienced professionals from government and private sectors, and the transportation advocacy world, all of whom are committed to fulfilling the company's mission--giving people the freedom to move and bringing people, communities and their urban environment closer together. https://www.spin.app

About Drover AIDrover specializes in advanced AI-based IoT solutions for last-mile transportation designed to elevate the performance of fleets while exceeding the regulatory requirements of the cities that host them. Drover's product, PathPilot, delivers granular infrastructure distinction even in the absence of often unreliable GPS data allowing for unparalleled location awareness and the ability to take corresponding actions. Drover enables a safe and intelligent experience through technology in order to help ensure the long-term success of micromobility as a sustainable and integral part of urban transportation. For additional information, visitwww.drover.ai or email [emailprotected]

Spin Press ContactMaria BuczkowskiSenior Communications Manager[emailprotected]

SOURCE Spin

https://www.spin.app/

Spin Announces Cutting Edge On-Vehicle Artificial Intelligence (AI) Platform To Bring Sidewalk Riding and Parking Detection Technology to Cities...

Automotive Artificial Intelligence Market Research Report by Technology, by Process, by Offerings, by Application – Global Forecast to 2025 -…

Posted on December 22, 2020 by Danzig

Automotive Artificial Intelligence Market Research Report by Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing), by Process (Data Mining, Image Recognition, and Signal Recognition), by Offerings, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19

New York, Dec. 21, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Automotive Artificial Intelligence Market Research Report by Technology, by Process, by Offerings, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p05913345/?utm_source=GNW

The Global Automotive Artificial Intelligence Market is expected to grow from USD 715.71 Million in 2019 to USD 3,967.57 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 33.03%.

Market Segmentation & Coverage:This research report categorizes the Automotive Artificial Intelligence to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Technology, the Automotive Artificial Intelligence Market studied across Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing.

Based on Process, the Automotive Artificial Intelligence Market studied across Data Mining, Image Recognition, and Signal Recognition.

Based on Offerings, the Automotive Artificial Intelligence Market studied across Hardware and Software. The Hardware further studied across Neuromorphic Architecture and Von Neumann Architecture. The Software further studied across Platforms and Solutions.

Based on Application, the Automotive Artificial Intelligence Market studied across Autonomous Vehicle, HumanMachine Interface, and Semi-Autonomous Driving.

Based on Geography, the Automotive Artificial Intelligence Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Automotive Artificial Intelligence Market including Alphabet Inc., Audi AG, Bayerische Motoren Werke AG, Ford Motor Company, General Motors Company, Harman International Industries, Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla, Inc., Toyota Motor Corporation, Volvo Car Corporation, and Xilinx Inc..

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Automotive Artificial Intelligence Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Automotive Artificial Intelligence Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Automotive Artificial Intelligence Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Automotive Artificial Intelligence Market?4. What is the competitive strategic window for opportunities in the Global Automotive Artificial Intelligence Market?5. What are the technology trends and regulatory frameworks in the Global Automotive Artificial Intelligence Market?6. What are the modes and strategic moves considered suitable for entering the Global Automotive Artificial Intelligence Market?Read the full report: https://www.reportlinker.com/p05913345/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Artificial Intelligence, Contactless Solutions Set to Provide Safety Protocols to Enable Reopening of Live Events in 2021 – PRNewswire

Posted on December 22, 2020 by Danzig

NEW YORK, Dec. 17, 2020 /PRNewswire/ -- COVID-19 has been a major driver behind explosive technological advances this year as companies have focused on doing what they do best but even better. While some advancements have targeted saving lives, others have focused on saving livelihoods, as financial stability and security can be almost as important as health in today's world of emotional and economic fear and uncertainty. The pandemic has transformed the world in many ways, including bringing data collection and digital technologies to the forefront of a socially distanced world. With this in mind, Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF) (Profile) recently made history by offering the first-ever, end-to-end venue-tracing and management solution. A provider of contactless solutions and artificial intelligence aimed at driving automated marketing, venue management and tracing to the brick-and-mortar space, Loop made its mark as it created a "bubble" platform for NCAA basketball to take place in Nevada and Florida. Using Loop Insights' venue-tracing platform combined with revised safety protocol, numerous games were played over several days and in several venues without a single case of COVID-19 being reported. Data collection, automated marketing and other transformational technology is driving success for other industry movers and shakers as well. The cloud data platform Snowflake Inc. (NYSE: SNOW) recently announced a partnership with the state of California to deliver fast, frictionless public access to COVID-19 data via the Snowflake Data Marketplace. Automated marketing is key to Shopify Inc. (TSX:SHOP) (NYSE:SHOP), the leading multi-channel commerce platform that just unveiled the latest in commerce technology. Commerce is also at the heart of ads, one of the main services provided by Facebook Inc. (NASDAQ: FB). And in terms of sheer ability to manage and aggregate data, Nielsen N.V. (NYSE: NLSN) just announced plans to launch Nielsen One, a single, cross-media solution to drive more comparable and comprehensive metrics across platforms.

Click hereto view the custom infographic of the Loop Insights editorial.

A Bubble of Safety, Protection

Once reserved for the most sick and frail, a "bubble" means something different today than it ever has before. With the COVID-19 pandemic topping 16 million casesand the death count nearing 300,000, bubbles today are viewed as places of safety and protection for just about everyone, regardless of whether they are traveling, playing or watching sports, or even attending school or working at the office.

The idea of creating such a vast and complete bubble might seem unrealistic and financially prohibitive. However, real-world experience has proven otherwise. In an attempt to save its 2020 season, the NBA invested $150 million to create the "Disney World Bubble," which "recouped $1.5 billion in revenuethat might have been lost had the season ended when COVID-19 paused it on March 11. And no positive tests came out of the bubble among players, staff and media."After losing nearly $1 billionby scrapping its popular March Madness tournament this year, the NCAA is looking to avoid a repeat.

The Loop System

The NCAA has substantial proof that a bubble is effective after partnering with Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF)and its turnkey venue-tracing solution. The collegiate sports organization planned and put together the #VegasBubble in Nevada and the #BeachBubble in Florida during the 10 days of the basketball season, which included 11 NCAA Division 1 men's and women's teams.

An integral part of the plan was Loop's system, which included all the requisite hardware, software, rapid mobile testing and integrated lab results. All users have to do is register and receive a wallet pass on their mobile phones and then check in at designated contactless devices. After that, location-based beacons, GPS and Internet of Things (IoT) technology takes over.

The system is infinitely scalable and has proven high adoption rates compared to other apps because additional hardware or software isn't required. The system uses the mobile wallet that already exists on a user's mobile device. Loop uses this same near-field communication (NFC) technology backed by Apple and Google.

And in a world where personal information is paramount, all collected data is de-identified and securely stored in Loop's data portal where its artificial intelligence (AI) technology shares essential details such as movements, active users, occupancy levels, promotions and more. In addition, Loop' s real-time messaging keeps users up-to-date on critical information and alerts individuals who are at risk or in need of a COVID-19 rapid test.

Indisputable Data

The world has been devastated by COVID-19 in so many different ways. And while healthy is paramount, it has becoming increasingly evident that the ability to enjoy life and earn a living cannot be underestimated. With that in mind, the value of sports at all levels is rising. Teams, schools, leagues and ancillary businesses that depend on sports cannot afford to see seasons canceled. Loop and its partner, bdG Sports, one of the nation's leading content providers in college basketball programming, clearly proved that they don't have to be.

The two innovation leaders worked closely with the NCAA and host sites to identify best practices under new health and safety protocols and implement the first-ever, end-to-end COVID-19 venue solution in a live environment. Given the months-long dearth of live events, the ability to plan, attend and enjoy a wide range of sports events in almost unlimited venues holds almost irresistible allure. Certainly Loop's bubble success has garnered the company worldwide attention.

It's not an exaggeration to say that the whole world was watching to see if Loop's claims that its technology could protect players and staff throughout the week-plus of men's and women's Division I games would stand up. And as teams battled over the ball at MGM Grand Garden Arena, Mandalay Bay Events Center and T-Mobile Arena in Las Vegas and Hertz Arena and Alico Arena in Fort Meyers, Florida, Loop may have come out the clear winner.

The data is indisputable. Loop's system did not suffer any outages, and user experiences proved to be as seamless as anticipated. The #BeachBubble alone over seven days consisted of:

"[We] hit it out of the park," Loop reported, noting that its bubble solution "is nothing short of world-class." Armed with these successes and with few companies keeping up, Loop Insights is already in negotiations to re-open major sporting events from North America to Australia.

"Loop's venue bubble platform has provided us with the peace of mind to move forward with our return-to-play efforts in college basketball safely," said bdG Sports CEO Brooks Downing. In addition to safety and providing an aggregated report on activity via the Insights platform, companies obtain a competitive marketing edge because the data drives Loop's Engage platformto generate real-time targeted promotions to event attendees.

And protection and safety isn't the only thing Loop provided during the NCAA bubbles. In fact, the Loop system also provides sponsors with new revenue stream opportunities. The system also offers event sponsors the ability to add highly targeted promotions to Loop's venue-tracing wallet pass the perfect way to ensure that event attendees and participants see personalized promotions.

This innovative technology could mean the return of live sports, conventions, concerts and festivals. Loop recently partneredwith SimpliFlying, noting that discussions about possible uses have "significantly advanced" to offer travel bubbles with fully integrated rapid testing, tracing and notifications removing the need for mandated quarantines.

Technology, Data Come Together

Clearly the time has never been better for technology and data to come together, whether in the form of data collection, automated marketing or other transformational applications and uses. Other companies have clearly recognized the opportunity as well and are offering powerful products and services that meet compelling needs.

California has been using Snowflake Inc.'s (NYSE: SNOW) single, integrated cloud data platform to store and analyze a multitude of data sets, including the current number of COVID-19 cases across the state, total suspected cases, number of residents receiving treatment in a hospital ICU, available and in-use hospital beds and ventilators, and the demographics of COVID-19 patients. "The State of California's response to the COVID-19 emergency has been enhanced greatly by the ability to share, collaborate, and communicate data and information in new ways that are meaningful to health professionals and allied support entities during this crisis," said Scott Gregory, the state technology department's chief technology innovation officer.

Shopify Inc. (NYSE:SHOP) (TSX:SHOP)is transforming commerce by announcing platform enhancements and updatesfocused on giving direct-to-consumer brands everything they need to build and manage a business. According to the company, innovations include a newly updated Shopify Plus platform for enterprise brands, more global capabilities, and for the first time, Shopify is expanding its offering with a fulfillment network that will allow merchants of all sizes to deliver their products fast and at a low cost.

A huge portion of Facebook Inc.'s (NASDAQ: FB) revenue stems from its ads; the company's most recent financials for Q3 2020 show more than $21 billion in ad revenue. "We had a strong quarter as people and businesses continue to rely on our services to stay connected and create economic opportunity during these tough times," said Facebook founder and CEO Mark Zuckerberg, Facebook founder and CEO. "We continue to make significant investments in our products and hiring in order to deliver new and meaningful experiences for our community around the world."

And just last week Nielsen N.V. (NYSE: NLSN) announced its exclusive cross-media solution, calledNielsen ONE, also targeting connecting advertisers and consumers in an easier, faster approach. As audiences move seamlessly between linear, streaming and digital, advertisers are demanding a single, deduplicated view of their audience across all platforms and mediums, while publishers want to provide more ad options for buyers and improve the overall viewer experience, Nielsen explained. Nielsen One provides visibility into audiences by platform and unique demographic profiles of each publisher.

With all the huge strides that companies are taking in efforts to provide the world with stability and security, there's reason to look toward the future with optimism. The advancements taking place today will almost certainly continue to have widespread use and life-changing applications moving forward.

For more information about Loop Insights, please visit Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF).

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Artificial Intelligence, Contactless Solutions Set to Provide Safety Protocols to Enable Reopening of Live Events in 2021 - PRNewswire

Employing artificial intelligence to spot infrastructure issues – Construction Dive

Posted on December 22, 2020 by Danzig

Dive Brief:

The rollout of the infrastructure-analyzing AI technology comes in the wake of the American Society of Civil Engineers giving the countrys infrastructure a D+. The organization found more than 56,000 bridges nationally were structurally deficient.

Dynamic Infrastructure's technology continuously processes past and current inspection reports and visuals, identifying future maintenance risks and evolving defects, the company claimed in its release. The result is a live, cloud-based risk analysis of any bridge or tunnel. The system automatically alerts users when changes are detected in maintenance and operating conditions before they develop into large-scale failures.

Dynamic Infrastructures technology uses AI to analyze past and current photos to spot developing issues.

Courtesy of Dynamic Infrastructure

The firm said its creates a "visual medical record" for each asset, based on existing images taken from past and current inspection reports and interim inspections.

The analysis can use any visual source, from smartphones and drones to laser scanning. The images are compared and serve as the basis for the alerts on changes in maintenance conditions, are accessible through a browser, and can be instantly shared with peers and contractors to speed maintenance workflows.

In addition to Suffolk County, New York, the firm said it has projects in other states, as well as in Germany, Switzerland, Greece and Israel for clients who operate a total of 30,000 infrastructure assets.

Continued here:

Employing artificial intelligence to spot infrastructure issues - Construction Dive

CPPI and HSDF Release Report from Virtual Symposium: Artificial Intelligence: Transforming the Government Mission – PRNewswire

Posted on December 22, 2020 by Danzig

This is a notification that the first release under this account has been submitted. Please follow up as appropriate.

Congressman Jim Banks (R-IN-3) agreed, warning, "The U.S. cannot afford to cede leadership in the technological arms race. If China surpassesus in a field like AI or quantum, it will have significant implications for U.S. national security, economic competitiveness, and way of life."

Luke McCormack, former Department Homeland Security CIO, led an engaging discussion onAI Applications for Good, while former Acting Commissioner of Customs and Border Protection, David Aguilar explored how AI and Edge Computing on the Frontlines is transforming the border mission. Dr. Reggie Brothers, CEO of NuWave Solutions and former Under Secretary for Science and Technology at the Department of Homeland Security directed an intriguing discussion on Achieving Security Outcomes through AI.

Speakers all agreed that the government is making progress in AI, but a more coordinated approach is needed, and that the government can learn from the more advanced capabilities and understanding of the private sector. "With AI we need a comprehensive, whole-of-government approach that leverages public-private partnerships to our greatest advantage," stated Congresswoman Robin Kelly (D-IL-2).

"The success of AI applications in government depends a great deal on security, data governance, clean data sets and an understanding of data sources," summarized Megan Mance, Executive Director of HSDF. "Leveraging cloud and storage innovations will help deliver AI capabilities to the mission operators on the front line."

Read the full report at https://www.hsdf.org

ABOUT EVENT ORGANIZERS:This event was hosted by the Center for Public Policy Innovation (CPPI) and the Homeland Security and Defense Forum (HSDF). CPPI is a 501(c)(3) not-for-profit think tank whose mission is to assist government officials in addressing the challenging issues brought on by the rapid advancement of Technology. HSDF's mission is to facilitate dialogue between the public and private sectors on homeland and national security issues.

Media Contact: Megan Mance[emailprotected]

SOURCE Homeland Security and Defense Forum

https://www.hsdf.org

CPPI and HSDF Release Report from Virtual Symposium: Artificial Intelligence: Transforming the Government Mission - PRNewswire

What Impact Will Nanotechnology Have on IoT? – IoT For All

Posted on December 22, 2020 by Danzig

As IoT matures, the sensor itself or the nerve of IoT architecture, will be deeply upgraded with sensitivity down to the molecular level. The nanosensors will be able to detect micro modifications in pressure, temperature, or chemical composition. This will allow us to collect far more precise data and measure things that cant be measured today.

The range of possibilities offered by nanosensors will change how we conceive, make, and use IoT. If we take one sector as an example, the food industry, IoTs are today mostly present in the production process.

Nanotechnologies will further bring us as far as the end-user by detecting potential health risks in each refrigerated chicken box. We can imagine that sensors all along the food cycle will drastically reduce the risk of contamination and relieve the fastidious tracing with an individual serial number. This becomes possible with a dramatic drop in size, cost, and energy needs for sensor production and installation.

The question of batteries is at the core of an IoT deployment can be problematic. It represents a substantial part of the cost during the deployment but even more for the maintenance. If you can upscale the battery duration by 10x or 100x, but also conserve the battery capacity through time by multiplying the number of the charge cycle, it is a huge disruption for the number of IoT driven economic sectors, starting with electric autonomous cars.

The batterys size will also be impactedsmaller for better capacities, unleashing business models until now stuttering, like rural autonomous deliveries or drone transportation on long distances.

The likely overall effect of nanotechnology meeting IoT will be a considerable drop in price (across the entire lifecycle production, installation, and maintenance), mostly due to the reduction of their sizes.

Straight from the prototyping phase, the cost of new IoT solutions can be cut by 97%allowing new start-ups and innovators to enter the market.This innovation can answer the increasing demand for IoT components, especially microchips, in a decentralized way. The billions of devices planned to join the market in the future wont match environmental criteria and the flexibility needed to reach an agile production system without nanotechnology.

Another characteristic of nanotechnology, and nanomaterials, is that it can offer robustness beyond imagination. As an example, some nanomaterials make glass bend instead of break, providing an incredible resistance to pressure and shock.

As we see how nanotechnology impacts IoT physically, its fabrication, and maintenance cost, we will now see that it also upgrades connectivity.

Researchers are focusing now on two types of nanotechnology connections: molecular and electromagnetic. We basically keep the actual architecture logic in both technologies: sensoraggregatorgatewaycloudbut the data is transmitted more efficiently.

We cant apprehend the future possibilities of nanotechnologies meeting IoT without taking into consideration AI and machine learning. The real revolution lies where those technologies intersect.

This is particularly relevant when discussing smart cities. IoT deployment brings traffic information to the control room. Decisions are partially automated under the control of humans. It is now impossible to fully delegate the decision to the AI, especially because of the holes in the grid. You will always have parts of the city where sensors are missing, and those holes can lead the AI to bad decisions.

Once the nanosensors are deployed directly in the streets, lights, walls, interconnected, the AI can fully operate without constant human supervision. These advancements wont only democratize and upgrade IoT, but considerably extend the range of its presence by opening new fields, markets, and business models.

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What Impact Will Nanotechnology Have on IoT? - IoT For All

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