Wordsmiths, get nervous.

OpenAI, the artificial-intelligence outfit backed by Elon Musk, recently opened up access to GPT-3, a new AI language model.

Its so powerful that it can produce text thats practically indistinguishable from human work.

That used to be true. People fed books and scripts to these programs and generated hilariously bad endings to episodes of Game of Thrones.

But while earlier models mimicked a humans vocabulary and writing style, GPT-3 is able to analyze context. One guy used GPT-3 to write an entire blog post, and he was surprised by the quality of the results.

And thats not all GPT-3 can do

The API currently is in beta, and you have to request access to use it. When the API becomes commercially available, OpenAI will use the proceeds to fund further research.

We at The Hustle will be nervously watching for future developments. Last week, Microsoft cut dozens of full-time MSN staffers in favor of news curation thats handled by AI.

Sam, look away.

We asked Trung Phan, one of our Trends analysts, what he thought of this powerful new toy. Heres what he told us not aided by GPT-3 (or was he?).

In the classic sci-fi movie Terminator 2, the villainous AI Skynet becomes self-aware at 2:14am ET on August 29th, 1997.

That prediction may have been 23 years too soon, but here we are. *nervous laughing*

More seriously, the potential threat of general AI is grounded in something more (seemingly) benign than killer robots (read: The Paperclip Maximizer article and for a deeper dive this book).

The purpose of OpenAI is to ensure the development of AI benefits all of humanity. Fingers crossed.

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Everybodys talking about an AI tool that does (almost) everything - The Hustle

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The COVID-19 crisis has accelerated the use of digital technologies and has increased the application of artificial intelligence (AI) into all aspects of the consumer experience. As the pandemic continues to impact the way consumers interact with financial institutions and with each other, the demand for contactless or non-touch interfaces, such as chatbots, increases. This has forced organizations to find new ways to integrate advanced intelligence into the entire customer journey.

According to an Economist Intelligence Unit survey from March and April of 2020, 77% of bank executives believed the the ability to extract value from AI will sort the winners from the losers in banking. AI platforms were the second highest priority area of technology investment, behind only cybersecurity, according to the survey. The importance of AI adoption is only likely to increase in the post-pandemic era.

Unfortunately, the increased focus on the potential and use of AI has not been reflected in higher levels of satisfaction. Instead, satisfaction levels with AI have actually decreased since 2018.

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According to a Capgemini study conducted in April and May of this year, more than half of consumers (54%) have daily AI-enabled interactions with organizations, including chatbots, digital assistants, facial recognition or biometric scanners. This was a significant increase over 2018 (21%). Even after lockdowns are lifted, consumers say they will still be looking to make increased use of touchless interfaces, including voice interfaces, facial recognition, or apps.

From a sector perspective, automotive (64%) and public sector (62%) were strong performers, followed by banking and insurance (51%). According to the research, close to half (45%) of consumers prefer voice interfaces when engaging with organizations followed by 30% who prefer chat interfaces and 15% who prefer AI systems built in websites/apps. But the choice of AI interactions varies during different stages of the customer journey.

The Capgemini research found that 41% of consumers prefer AI-only interactions for researching and browsing, up from 25% in 2018. As a consumer moves forward in their journey, AI is preferred less, with more humanized experiences gaining favor. Part of the reason for the drop in AI preference is caused by the drop in trust in AI later in the journey.

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Without trust, the acceptance of artificial intelligence by consumers will lag. The good news is that trust in AI interactions is increasing overall. In fact, according to the Capgemini research, more than two-thirds of consumers (67%) trust personalized recommendations. In addition, the share of consumers who do not trust machines with the security and privacy of their personal data has dropped to 36%, down from 49% in 2018.

Part of the improvement in trust can be attributed to enhanced regulations, such as GDPR. In addition, trust has been positively impacted by an improvement in fairness and transparency by organizations. For instance, in 2018, only 13% of organizations informed consumers about the presence of AI, compared to 66% in 2020.

In many research studies conducted around AI and improved customer experiences, including the research done by the Digital Banking Report in 2019 and also in 2018, consumers indicated that they wanted AI to display human-like capabilities including human-like voice. personality or understanding. If interactions were more human-like, consumers stated they would be more likely to use these AI applications and have greater trust in the company.

While 64% of consumers believed that their AI interactions are more human-like (compared to 48% in 2018), the bar for satisfaction has gone up as well, indicating that consumers are increasing their expectations from AI engagements.

According to Capgemini, the four actions that are required to improve the humanization of AI experiences include:

Despite higher levels of trust and humanizing capabilities, Capgemini found that customer satisfaction with AI interactions has actually decreased in the past two years. According to their research, 57% of consumers were satisfied with AI interactions in 2020, compared to 69% in 2018.

Most of this shortfall can be explained by an increase in consumer expectations as they become acutely aware of the potential of AI across all industry sectors. Some consumers mentioned the lack of a wow factor that was expected. In several instances, consumers did not feel there was a tangible benefit from AI.

While banking and insurance performed better than the average of all sectors, the two financial services industries, looked at together, also fell from higher levels in 2018. Only 36% of consumers believed that AI reduced effort, with the same percentage believing that AI provided faster resolution of support issues. And, while banking and insurance did better than any other industry in the areas of privacy and security, other benefits were lacking.

To move to the next level of AI deployment, consumers must realize tangible benefits beyond expectations. This equates to moving beyond the basics of privacy and security (table stakes) to value propositions that include predictive solutions that save money, time and effort. These solutions also must be scalable to be meaningful to the consumer and the financial institution.

To deliver an AI experience that delights customers beyond their expectations, they must be humanized at the appropriate stage of the journey and contextualized for each consumer and interaction. It will not be easy to rise above consumers increasing expectations, but the outcomes will increase engagements, trust, loyalty and relationship value.

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Greater Acceptance of AI Has Resulted in Lower Satisfaction Levels - The Financial Brand

Tal Yellin, CNN

This recession is deeper and more sudden than any other we have experienced. While we would all prefer this recession to be a short one, that is currently unlikely. A deep and prolonged recession puts tremendous pressure on CEOs and Boards of all but the most successful companies.

Let's assume this recession will last longer than we would like. In this recession, some companies will emerge as winners, and many companies will fail. How can AI help? Why would senior executives even think about AI at a time like this? Why invest now?

AI is more important and more transformative than any other type of technology because it can improve every day, all by itself. If you apply AI solutions to the right business opportunities, you can emerge as one of the winners out of this recession.

AI can make a meaningful impact on reducing costs, optimizing financial functions, and finding new revenue streams. Let's briefly examine each of these.

Reducing Costs

Some healthcare providers are using AI for registration-related tasks, like ensuring the availability of a patient's medical history. Removing this function from staff members not only increases their efficiency but dramatically reduces errors. Error reduction can be very costly as it can require staffers to re-do work. Oliveai is one company providing solutions in this area.

If AI replaces some employees, such as in customer service, the cost-savings can be profound. Not only can an AI chatbot work 24/7, but they are also less expensive than an employee, and can improve customer satisfaction. Examples include Liveperson, Ibenta, and Ada.

AI can reduce costs by focusing on predictive maintenance. Without AI, machine maintenance often uses a mean-time-to-failure analysis to estimate when to replace specific components. With AI, machines can report on what is happening with that particular machine, helping to target components that are likely to fail soon, and only replacing those parts in the devices that require replacement. Companies providing predictive maintenance capabilities include H20, Dataiku, and Industlabs.

Optimizing Financial Functions

Certain functions become more important than others in a recession. Imagine you can do real-time demand forecasting, inventory management, and accounts receivables using AI. You will be in a position to react extremely quickly to the changing environment. You will be able to predict where to allocate your funds as opposed to only responding to historical data.

What if you are charged with closing retail stores due to the pandemic? Without AI, decisions about which stores to close are likely to be based on individual store performance metrics and demographic analyses.

With AI, you can layer in much more intelligence in your store-closing decisions. For example, Accenture has built AI solutions that predicted what will happen with customers in the region being served by a particular store. Would those customers go to a more conveniently-located competitor, or would they shift their buying patterns to move online or even drive a little farther to stay loyal to that store brand?

AI creates better predictive models, enabling a higher level of confidence in the store-closing decision process.

AI can help manage bad debt decisions. In 2018, bad debt reduced profit margins by as much as 5% in many companies. In recessions, bad debt naturally increases as customers delay payments or go out of business.

AI can evaluate all relevant customer data, including credit rating, industry type, payment history, debt burden, hiring and firing practices, and geography, along with many other data points to determine the likelihood of a company not paying their bills. Armed with this information, an AI-based system can make real-time recommendations on payment terms for customers. Solutions include CognitiveScale, HighRadius, and YayPay.

Finding New Revenue Streams

AI can model expected consumer behavior to enable real-time promotions. (e.g., a discount on pool toys, high-quality computer screens, etc.)

Starting with historical results from promotions, AI can simulate buyer behavior by layering in new variables such as governmental regulations regarding shelter-in-place, the opening, and closing of retail locations and schools, political affiliation, the likelihood of a COVID-19 outbreak and more.

AI can even collect data from the success of one promotion in one geography and conduct lookalike modeling to suggest similar promotions based on real-time results in another location. Solutions include Revtrax, Antuit, and Vertica.

In addition to promotions, AI can help increase market share. Frito-Lay is in a constant battle for the consumer snack wallet. This is a fiercely competitive market. All competitors are trying to get the consumer to buy their bag of chips. To win over the consumer, they can offer a wide variety of choices, but to be truly innovative, they need AI.

AI can look at vast warehouses of data and identify patterns that humans can't see. AI can look at demographics, local consumer preferences, age, ethnicity, gender, income profiles, etc. and many other things to find patterns that humans can't see.

What AI discovered is that in Frisco TX, a town of fewer than 200K citizens, there was a high population of ethnic Indians. The AI knew that ethnic Indians liked curry-flavored food. The AI recommended that they offer a version of Cheetos previously only sold in India, curry-flavored Cheetos called Kurkure.

AI found a micro-market and recommended a product for that micro-market, and now Frito-Lay owns that market. The question you want to ask is - how many micro-markets are there in the broad markets you serve?

Many of the examples in this article represent AI getting smarter and smarter every day. If youre relying on humans to do the work that AI can do better, and your competitors are getting better and better every day, you will never catch up.

As you develop plans to come out of this recession, prepare for the competitive fight of your life. The winners will be using AI, and many companies that do not use AI will discover they have lost the battle.

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How AI Can Help In A Recession - Forbes

Written By ESR News Blog Editor Thomas Ahearn

On July 7, 2020, the Consumer Financial Protection Bureau (CFPB) a government agency that helps businesses comply with federal consumer financial law published a blog addressing industry concerns about how the use of Artificial Intelligence (AI) interacts with the existing regulatory framework, specifically the adverse action notice requirements in the federal Fair Credit Reporting Act (FCRA) that regulates background checks.

The CFPB helps ensure that consumer financial products and services operate transparently and efficiently. Financial institutions are starting to deploy AI across a range of functions, including as virtual assistants that can fulfill customer requests, in models to detect fraud or other potential illegal activity, or as compliance monitoring tools. One additional area where AI may have a profound impact is in credit underwriting, the blog stated.

One area of innovation the CFPB is monitoring in consumer financial products and services is AI, particularly a subset of AI called Machine Learning (ML). However, industry uncertainty about how AI fits into the existing regulatory framework may be slowing its adoption, especially for credit underwriting. One important issue is how complex AI models address the adverse action notice requirements in the FCRA, according to the blog.

FCRA also includes adverse action notice requirements. For example, when adverse action is based in whole or in part on a credit score obtained from a consumer reporting agency (CRA), creditors must disclose key factors that adversely affected the score, the name and contact information of the CRA, and additional content. These notice provisions serve important anti-discrimination, educational, and accuracy purposes, the blog stated.

There may be questions about how institutions can comply with these requirements if the reasons driving an AI decision are based on complex interrelationships. Industry continues to develop tools to accurately explain complex AI decisions These developments hold great promise to enhance the explainability of AI and facilitate use of AI for credit underwriting compatible with adverse action notice requirements, the blog concluded.

In the wake of the Financial Crisis of 2007-2008, Congress established the CFPB, an independent regulatory agency tasked with ensuring that consumer debt products are safe and transparent, as part of the 2010 Dodd-Frank Wall Street Reform and Consumer Protection Act. Congress transferred the administration of 18 existing federal statutes to the CFPB, including the FCRA. The CFPB enforces the FCRA.

Employers using automated hiring platforms powered by AI in the belief that they are less biased and discriminatory than processes performed by humans will discover using AI technology in background screening will remain a work in progress even though it has potential, according to the ESR Top Ten Background Check Trends for 2020 compiled by leading global background check firm Employment Screening Resources (ESR).

AI has potential with screening, but is unlikely to be used as quickly as predicted. Between the myriad of federal, state, and local laws regulating screening, as well as discrimination and privacy concerns, the reality is going to be much different than many people predict from a purely technological viewpoint, explained Attorney Lester Rosen, founder and chief executive officer (CEO) of Employment Screening Resources (ESR).

Background checks impact the highly regulated area of employment that requires accuracy specific to the individual. Technology helps to some degree, but each individual is entitled to an individualized assessment, and the law and court cases weigh heavily against the mass processing and categorizing of people for employment, said Rosen, the author of The Safe Hiring Manual, a comprehensive guide to background checks.

Employment Screening Resources (ESR) a leading global background check provider offers fast, accurate, and affordable background checks that comply with FCRA regulations that are enforced by the CFPB. In November 2019, ESR was named as one of the top pre-employment screening services for enterprise-level businesses by HRO Today Magazines Bakers Dozen. To learn more about ESR, visit http://www.esrcheck.com.

NOTE: Employment Screening Resources (ESR) does not provide or offer legal services or legal advice of any kind or nature. Any information on this website is for educational purposes only.

2020 Employment Screening Resources (ESR) Making copies of or using any part of the ESR News Blog or ESR website for any purpose other than your own personal use is prohibited unless written authorization is first obtained from ESR.

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CFPB Explains How AI Interacts with Adverse Action of FCRA - ESR NEWS

Although artificial intelligence is becoming increasingly popular, no one knows how far it can actually evolve, and although some people believe that it will become fully aware of our super-species, others believe that this is not possible and that AI will only support humans in the future.

There are still many ethical issues associated with artificial intelligence that companies do not need to address at present, such as the ethical implications of the future use of artificial intelligence.

In 2020, more than ever, AI assistants will be arranging their calendars, planning their journeys, ordering pizza and more. AI is really woven into our lives today, so much so that most people don't think for a second that when they search Google or watch Netflix, highly accurate AI-driven predictions are at work that make the experience flow. They interact with us and help us make more informed decisions about our daily lives and activities.

As these services learn to anticipate our behavior and better understand our habits, they become increasingly useful to us as we age.

This will lead to a glorious utopia if people follow more meaningful aspirations in their lives, rather than let economic necessity dictate what they spend their time on. There is no doubt that the economic and social changes that AI promises to bring, and in some cases threatens to bring, go beyond anything imagined in previous technological revolutions. A future in which machines do physical labor, just as they did during the Industrial Revolution, but where decisions are made, work is thought and done by machines, not by humans.

This is an outcome that continues to be hotly debated and is not likely to be achieved until 2020. As AI technology and machine learning applications improve, we are likely to see more tools like GPT 2.0 making more and better predictions for the future. Asking it to predict our future based on the past curated by Reddit is certainly something new, but it's certainly not the end of the line.

In smart cities, AI chips will help locate missing people and search for stolen vehicles. The same idea must be applied to car accidents, as cars learn to break laws and driving rules when it means saving more lives. AI chips will also improve our ability to process visual data more efficiently, paving the way for autonomous vehicles of the future.

Because AI can read and synthesise a huge dataset much faster than we can, it can be used to predict all sorts of things, from virus outbreaks to crimes. By processing data from any source, chips can provide more privacy and reliability as well as lower costs in the future.

If we continue to improve, we will probably be able to make more and better predictions about the future. In the meantime, the model railway lets us train on what we can expect in weeks, months or years. I think asking us to philosophise about our future, based on the past curated by Reddit, is new, but I'm glad we did.

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AI Predicts The Future - AI Daily

The race to be the new Big Brother is powered by robotics. Can the U.S. keep up with its rivals?

Think of artificial intelligence, and the mind often goes to industrial robots and benign surveillance systems. Increasingly, though, these are steppingstones for Big Brother to enhance capabilities in domestic security and international military warfare.

China has co-opted a controversial big data policing program into law enforcement, both for racial profiling of its Uighur minority population and for broader citizen surveillance through facial recognition. Wuhan has an entirely AI-staffed police station. But experts say Chinas artificial intelligence research is also being adapted for unconventional military warfare in the countrys bid to dominate the field over the next decade.

AI could form an important pillar of the new cold war brewing between the U.S. and China over trade, technology and geopolitical influence. From the U.S. to Russia and American allies like Israel, military researchers are embedding AI into cybersecurity initiatives and robotic systems that provide remote surgical support. Theyre using it for combat simulation and data processing.

By 2030, a third of the combat capacity of Russia, Americas archrival, is expected to be driven by artificial intelligence, say experts, including AI-guided missiles with the ability to change target midflight. Israel has adopted a networked sensor-to-shooter system to aid the Israel Defense Forces in remotely patrolling the many contentious regions under their control. Other countries, including the U.K., Brazil, Australia, South Korea and Iran, are also investing in research into AI-powered weapons, tanks and other armed platforms.

We owe it to the American people and our men and women in uniform to adopt A.I. principles that reflect our nations values of a free and open society.

Lt. Gen. Jack Shanahan, director, Joint Artificial Intelligence Center

All of this has prompted the U.S. to accelerate its own AI research to preserve its status as the worlds sole military superpower. Department of Defense researchers are building a robotic submarine system that will detect underwater mines and other anti-submarine enemy action without putting the lives of American soldiers at risk. Where the U.S. is trying to market itself as different is when it comes to the targets of its military AI capabilities.

We owe it to the American people and our men and women in uniform to adopt AI principles that reflect our nations values of a free and open society, Lt. Gen. Jack Shanahan, director of the Joint Artificial Intelligence Center, told journalists in February. This runs in stark contrast to Russia and China, whose use of AI tech for military purposes raises serious concern about human rights, ethics and international norms.

Not everyone is buying that. In April 2018, more than 3,000 Google employees urged CEO Sundar Pichai in an open letter to discontinue working on the Pentagons Project Maven. They argued that the tech giant should not be in the business of war because we cannot outsource the moral responsibility of our technologies to third parties. Pichai and Google pulled out of the program.

Meanwhile, this May, Australian Prime Minister Scott Morrison received a prototype of a jet-powered drone from Boeing Australia to flank and protect its manned combat aircraft. Brazil and India have set up panels for their militaries to work with cutting-edge labs on developing artificial intelligence. Britains Ministry of Defense has launched its own AI lab, as has the South Korean army, which has also used a sentry robot in the Demilitarized Zone along the border with North Korea.

Fenced in by U.S. sanctions, the Iranian government is funding the countrys AI tech. An international conference on robotics in Tehran two years ago discussed, among other things, using drones. Researchers in the country have proposed a new Ministry of Artificial Intelligence. And last October, the Iranian military released images of miniature robots that can slide under enemy tanks.

The U.S. knows it cant let up. The DOD spent $7.4 billion on AI, cloud computing and big data in 2017, and requested $927 million for AI alone in 2020.

Thats just a fraction, though, of the commercial spending by companies on research into autonomous systems development, says Mary Cummings, director of the Humans and Autonomy Laboratory at Duke University and one of Americas first female naval fighter pilots.The future of AI in military systems is directly tied to the ability of engineers to design autonomous systems that can demonstrate the ability to act and react on their own with the level of sophistication that humans bring through their knowledge and reasoning, she explains.

China is one step ahead of the U.S. there. While the DODs Defense Advanced Research Projects Agency has struggled to develop a drone that can transport troops, Cummings says, China is believed to have designed a commercial drone that can transport passengers. The tech space is clearly leading the charge, and the military is playing catch-up, says Toby Walsh, a professor of artificial intelligence at Sydneys New South Wales University.

For the U.S., its a race against time to commandeer influence in this new global arms race. Win or lose, its a high-stakes game to be the new Big Brother.

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Which Military Has the Edge in the A.I. Arms Race? - OZY

Technology may shape the way people live, but sometimes the inverse is also true. In many ways, the issues of 2020 will drive the innovations of 2021, especially in AI. You can determine what AI research and development will look like by looking at where it needs to go from here.

AI expert Mark Gorenberg predicts that the pandemic will spur an AI revolution, just as the Great Recession did for big data. As the outbreak and subsequent recession reveal the world's shortcomings, AI will rise to fix them. The next generation of AI will be one that addresses the problems of today.

Medical Research

If the pandemic has highlighted one area of need, it's the health and medicine sector. Healthcare systems need better tools to be able to predict and respond to any outbreaks in the future. The predictive power of AI offers a solution.

Researchers are already using AI to find drugs that could potentially fight COVID-19. A National Science Foundation-funded supercomputer program is using machine learning to run simulations about how the virus interacts with different compounds. Using the results from these simulations, scientists could find potential vaccines to start testing.

As people recognize the value of systems like these, it will lead to further research and development. In the coming years, you'll see a broader emphasis on healthcare technologies in the AI industry. AI could help scientists predict and prevent outbreaks or treat them faster if they do occur.

Navigating New Data Regulations

As big data becomes more of standard practice, data governance is a more pressing concern. People are becoming more aware of how companies are gathering their information, which will likely lead to more data regulations. In response, companies will turn to AI to ensure they don't violate any privacy laws with their data use.

AI solutions can help institutions balance convenience for their customers with privacy and security. With the help of AI, organizations like banks can manage data across multiple platforms, keeping customer information safe while still making it accessible. Handling these things manually could make it more challenging to stay within increasing guidelines.

Automating data management will become increasingly critical to businesses as both data and regulations grow. AI that can understand and follow restrictions like the GDPR will become a necessity.

National Security

The past couple of years have also brought new emphasis to the importance of cybersecurity. AI in cybersecurity is nothing new, and many organizations employ it already, but you don't see it on a national level. As cyber-risks have become more prominent, though, AI will play a more significant role in national security.

Government adoption of technology is typically slower than that you see in the private sector. AI has already established itself in the commercial world, so the logical next step is the government. For national security agencies to implement these technologies, though, AI will have to prove its reliability and security.

Governments in the U.S. and Europe experienced several cyber attacks from threat actors like North Korea this year. To combat these rising threats, agencies will have to turn to AI. As a result, cybersecurity AI will evolve rapidly over the next few years.

AI in the IoT

The convergence of separate technologies is a natural step in development. One of the most noteworthy you'll see in the future is the marriage of AI and the IoT. As the IoT grows, so will AI functionality in these devices.

The IoT is a provides AI with the landscape necessary for it to see wider adoption and implementation. AI technologies like self-driving cars will need to take advantage of edge computing, which requires the IoT. AI development in the coming years will shift towards IoT platforms.

AI-enabled IoT devices will also make smart cities a possibility. In the face of growing environmental and sociological concerns, that's a needed improvement. You can already see this trend starting to take place, and it will only increase from here.

An AI Revolution Is Coming Soon

The world stands on the cusp on a technological revolution. AI may not be new technology, but it's still growing, changing, and driving innovation. In the next few years, AI will see much wider adoption and an unprecedented period of advancement.

Technological shifts typically follow significant cultural or societal events. The tumultuous period that has been 2020 will spur the next wave of AI technologies.

Original post:

What Does the Next Wave of AI Innovation Look Like? - TechDay News

DUBAI, United Arab Emirates--(BUSINESS WIRE)--DGWorld, the leading AI and Digitalization Company, has launched the new version of its humanoid robot at the Ai Everything Summer Conference held on July 16, 2020 at the Dubai World Trade Center.

WIZO serves a multi-functional purpose in pushing beyond the boundaries and limitations of a service robot with big data analysis & management, centralized control system, safe & secure database, multimodal interaction, flexible movement, facial recognition, speech engine, proprietary SLAM technology for autonomous navigation, and automatic docking & recharging.

Eng. Bilal Al-Zoubi, Founder and CEO at DGWorld said: DGWorld aims to create sustainable solutions by utilizing the power of AI. The new and improved WIZO will make a positive impact on the way business is done and optimize the human experience. By delegating standard tasks to the robot, employees can focus on human qualities that allow them to excel and flourish.

Hardware and software features can be added to the humanoid robot to meet the business needs. Temperature checking, Payment system and Integration with mobile apps to name a few. The flexibility in customization makes WIZO versatile in a wide variety of industries like Retail, Healthcare, Education, Transportation, Hospitality, Entertainment, and Government services.

As life is slowly going back to normal with the current pandemic, some of the precautions taken are here to stay. Limiting human contact will limit the spread of any virus. Deploying WIZO at entry check-points, reception desk, or to take care of specific tasks will result in work efficiency and more importantly help people stay safe. We all know robots are part of the future. The future has already started. Eng. Bilal-Al-Zoubi continued.

This is the third version of humanoid robots that DGWorld has developed. The first two versions were 3D printed and completely manufactured by the company including all hardware and software. With the latest WIZO, DGWorld wanted to reduce costs, save manufacturing time and increase the quality, therefore, the company chose a reliable vendor to work with and enable the intelligent features.

For more information:

Website http://www.dgworld.com

YouTube youtube.com/dgworld

Facebook facebook.com/DGWorlds/

Instagram instagram.com/dgworlds/

LinkedIn linkedin.com/company/digiroboticstechnologies

Twitter twitter.com/DGWorld3

*Source: AETOSWire

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DGWorld Brings the Future of AI and Digitization with WIZO - Business Wire