Monthly Archives: January 2022

One of the world’s biggest offshore wind farms gears up for full operations – CNBC

Posted: January 14, 2022 at 8:53 pm

One of the turbines at the Triton Knoll offshore wind farm, which is located in waters off England's east coast.

Ian Greenwood

Turbine commissioning at one of the world's biggest offshore wind farms is complete and full operations are slated to begin in the first quarter of 2022, according to German power firm RWE.

The 857 megawatt Triton Knoll Offshore Wind Farm is situated in waters off England's east coast and uses 90 wind turbines from Danish firm Vestas.

In a statement Thursday RWE said Triton Knoll would produce "sufficient electricity to meet the needs of around 800,000 homes each year." Investment in the project amounts to approximately 2 billion (around $2.74 billion).

RWE has a 59% stake in Triton Knoll. Its other owners are Kansai Electric Power and J-Power, who have stakes of 16% and 25%, respectively. RWE is responsible for the project's construction, operation and maintenance.

Triton Knoll produced its first power in March 2021and its final turbine was installed last September.

The North Sea, where Triton Knoll is located, is home to a number of large-scale offshore wind facilities. These include the 1.2 gigawatt Hornsea One development, which is located in waters off Yorkshire and uses 174 turbines.

Looking ahead, major projects planned for the North Sea include the Dogger Bank Wind Farm, which will have a total capacity of 3.6 GW once completed. The development of the project is taking place in three phases.

U.K. authorities want 40 GW of offshore wind capacity by 2030. The European Union, which the U.K. left in January 2020, is targeting 300 GW of offshore wind by the middle of this century.

Across the Atlantic, the U.S. has some way to go to catch up with Europe. America's first offshore wind facility, the 30 megawatt Block Island Wind Farm in waters off Rhode Island, only started commercial operations in late 2016.

Change looks to be coming, however. In November ground was broken on a project dubbed the United States' "first commercial scale offshore wind farm."

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Virginia, Denmark partner to boost offshore wind industry – WAVY.com

Posted: at 8:53 pm

RICHMOND, Va. (WAVY) In some of Gov. Ralph Northams final days in office, Virginia has signed an agreement with Denmark to boost the offshore wind industry.

The Memorandum of Understanding was signed virtually Thursday morning by Secretary of Commerce and Trade (SOCT) Brian Ball and Dan Jrgensen, minister of the Danish Ministry of Climate Energy and Utilities.

Northams office on Thursday evening released information about the agreement, which establishes a partnership between Virginia and Denmark to share knowledge of challenges, successes, and best practices when it comes to developing offshore wind and its supply chain in each location.

We have purposely worked to position Virginia as a leader in offshore wind. Off our coast, we have the first turbines in federal waters, and we have two major wind farmers in development. Our Port of Virginia will the launching point for turbine components on the East Coast. We are well positioned to continue growing in this area, said Northam. Denmark has the highest proportion of wind power in the world, and we can learn a great deal from their experience. I thank Denmark for its cooperation and look forward to working together to build this new industry, promote clean energy, and create jobs right here in the Commonwealth.

Together, Virginia and Denmark work to find ways to quickly and efficiently develop an offshore wind industry. Theyll also look at bigger picture items such as renewable energy, mitigating climate change, and energy security.

Virginia already installed the first two wind turbines in federal waters in 2020. The area will also be home to two major wind farms, which are in development now. The Coastal Virginia Offshore Windfarm will be the largest offshore wind farm in the U.S., generating 2.6 gigawatts of power when its completed in 2026. The Kitty Hawk offshore wind farm will be created by Avangrid Renewables off the coast of North Carolina that will produce 2.5 gigawatts of power.

Virginias ambition and Denmarks experience make a perfect partnership. I am therefore very pleased that Denmark and Virginia now establishes new cooperation on offshore wind. Virginia has made an ambitious decision to build a 2.6 gigawatt offshore wind farm by 2026. I hope that our long regulatory experiences within offshore wind can contribute to a successful undertaking in Virginia. At the same time, Denmark can be inspired by new and innovative approaches. Together, we stand stronger in the green transition,said Jrgensen, minister for Climate, Energy and Utilities.

Virginia already has two Danish firms present in the state: rsted and Rose Holm Inc.

In January 2020, Northam announced an agreement with rsted to lease a portion of the Portsmouth Marine Terminal for offshore wind staging materials and equipment. The lease is expected to run through 2026 as rsted installs nearly 3,000 megawatts of wind energy projects in the United States.

Having built the worlds first offshore wind farm in Denmark and installed Americas first turbines in federal waters, ourrsted team is proud the Commonwealth of Virginia and the Kingdom of Denmark have partnered to help advance the U.S. offshore wind industry,said David Hardy, CEO ofrsted Offshore North America.Building a sustainable offshore wind energy industry in the U.S. requires both international experience and local expertise. This partnership formally establishes the dialogue to achieve this and will help ensure a strong clean energy future that creates good-paying jobs.

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Industry Urges German Gov’t to Accelerate and Stabilise Offshore Wind Expansion – Offshore WIND

Posted: at 8:53 pm

Bremerhaven-based association WAB e.V., together with several other German organisations and trade associations, has called on the new German government to accelerate and distribute its offshore wind expansion targets more evenly over the coming years, and to strengthen employment and value chain.

The call for action follows the release of the latest offshore wind statistics from Deutsche Windguard, which show no new installations in the country in 2021. Overall, Germany currently has 1,501 offshore wind turbines with a capacity of 7,794 MW connected to the grid.

Tender volumes should be significantly increased this year to enable more construction activity more quickly, said the German Wind Energy Association (BWE), the German Offshore Wind Farm Operators Association, the Offshore Wind Energy Foundation, VDMA Power Systems, and WAB e.V.

The offshore wind targets recently set in the coalition agreement must now be incorporated into the countrys Offshore Wind Act(WindSeeG)without delay in order to avoid further loss of time, according to the organisations.

The commitment of the new German coalition to significantly accelerate the expansion of offshore wind energy is just as correct as the concrete target of at least 30 gigawatts by 2030. This target creates a positive perspective for the entire value chain, BWE, BWO, VDMA Power Systems, WAB and the OFFSHORE-WINDENERGIE Foundation commented on the new expansion targets.

Now the grid and spatial planning for the implementation of the targeted expansion path should be revised without delay. The aim must be to leverage all acceleration potentials in order to enable an efficient and climate-protection-friendly expansion.

The planned tender volumes must be significantly increased as quickly as possible in order to maintain and expand the existing innovation potential as well as employment and the value chain in Germany, the industry organisations said.

In addition, the spatial potential in German waters must be fully exploited. Conflicts of use should be resolved pragmatically and in line with climate protection, as such also supporting the interests of environmental protection.

It is also important to avoid an expansion bottleneck at the end of the decade, which could lead to bottlenecks in the supply chain and pose challenges for the industrys capacity planning especially since other nations have also increased their expansion targets, the organisations said in a joint press release on 13 January.

They also urged the German government to clarify at an early stage which additional offshore wind expansion requirements will be required for the increased target of 10 GW for electrolysis capacity for green hydrogen.

These areas should also be promptly located and put out to tender without delay. The regulatory framework for green hydrogen requires jointly coordinated specifications in Germany and Europe to make the market ramp-up of the green hydrogen economy commercially feasible, the organisations said.

The appropriate infrastructure is important for the medium- to long-term expansion of offshore wind energy. This also includes the coordinated expansion of electricity and gas grids for the production of green hydrogen in the North and Baltic Seas.

The industry organisations have also recommended that the authorities responsible for the expansion of offshore wind energy must be quickly reinforced in terms of personnel in order to be able to cope with the significantly accelerated planned expansion.

In addition, in order to have the necessary skilled workers for the planned long-term expansion of offshore wind energy,relevant study programs must be optimized. Training and continuing education programs must be supported and promoted, the German industry pointed out.

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Listening To The Well, Listening To The Workers: A New Approach To Safety Communications Offshore – Forbes

Posted: at 8:53 pm

Loren Steffy, UH Energy Scholar

AT SEA - APRIL 28: Workers look out at wind turbines at the Alpha Ventus offshore windpark on ... [+] April 28, 2010 in the North Sea approximately 70km north of the German coast. Alpha Ventus, which is a pilot project between energy producers E.On, Vattenfall and EWE, officially began operation the day before and will deliver 60 Megawatts of power from its 12 turbines. It is also Germany's first offshore windpark. (Photo by Sean Gallup/Getty Images)

Silence can be deadly. Thats the key lesson from a new paper examining communications failures as a root cause of offshore drilling accidents.

While the industry has gotten better about identifying root causes of accidents from an operating standpoint, too often investigations also cite communications failures as a blanket explanation that implicitly assumes that accidents could be prevented if employees spoke up about safety, according to the paper Listening to the Well, Listening to Each Other, and Listening to the Silence New Safety Lessons from Deepwater Horizon published late last year in the American Chemical Societys journal Chemical Health and Safety.

But the paper found that in accidents such as the Deepwater Horizon disaster there are many instances in which concerned employees do speak up, but theyre ignored. Their voices often are drowned out by other concerns such as time pressure or a culture that favors a can-do attitude focused on results. And those pressures can have a chilling effect whether intentional or not that keeps many employees from raising concerns.

You find a lot of reports that say there was a lack of communication, and communication should be encouraged, said Antoine J. Jetter, a professor of engineering and technology management at Portland State University and one of the papers three authors. It seems an almost silly explanation.

The paper found that in many cases, communication did happen, but other barriers prevented concerns from being heard, acknowledged or acted upon by superiors.

Aggressive timelines for completing projects often the result of the huge cost involve in offshore drilling can create a toxic environment for employees who dare to voice concerns that could add delays.

Although the Deepwater Horizon disaster occurred more than a decade ago, it continues to yield lessons of what not to do and offer insights into avoiding similar mistakes in the future. Much, of course, has been written about what happened the evening of April 20, 2010, just before 10 p.m., aboard the rig that was drilling the Macondo prospect in the Gulf of Mexico.

A blowout shot flames some 200 feet above the derrick and explosions ripped through the living quarters and workspaces, killing 11 members of the crew and critically injuring 63 others. The rig burned and sank in 5,000 feet of water, severing the riser and allowing oil to flow freely from an open hole on the sea floor for 87 days.

Since then, the cause of the accident has been the focus of numerous investigations, scholarly papers, popular books (including one that I wrote) and even a movie with big-name Hollywood stars.

But I was intrigued by this latest study because it zeroed in on a key element of the disaster communication failures and asked why attempts to communicate concerns about the troublesome Macondo well went unheeded.

The lead author of the paper is Lillian Espinoza-Gala, a research associate at Louisiana State Universitys department of entrepreneurship and information systems. Espinosa-Gala started working on offshore rigs in 1973, and a year later became the first woman to hold a technical job on a Gulf rig. Over the years, she was injured twice in accidents, one of which was almost fatal, and she lost a brother and a subordinate to accidents. As a member of the Deepwater Horizon Study Group and on other examinations of the disaster she has worked tirelessly to bring the rig workers perspective to what happened and to ensure those who lost their lives are not forgotten.

Her first-hand experience and her long history studying offshore disasters such as Macondo gives her a greater sense of empathy with offshore workers, as well as greater urgency and determination that the safety concerns of front-line workers need to be heard.

Had I not lost a brother when he was 43, and had I not almost been killed myself, people would have been more hesitant to share with me, she said.

Her co-author, Ahmed Alibage, an assistant adjunct professor and postdoctoral fellow at Portland State, previously worked as a city engineer and safety manager. While it was a different industry, he saw many parallels between the manufacturing operations he inspected and the offshore culture aboard the Deepwater Horizon.

Sometimes, youd see everybody hiding whats going on, he said. Theyd say dont tell the manager. That reluctance to let others know of potential dangers can be deadly, and it stems from a culture in which workers are given the message, often subliminally, to keep quiet.

For example, a company may say safety is important, but if workers are given bonuses for maintaining a schedule or managers are pressured by their superiors to keep a project on track, it can stifle safety concerns form the front line.

Rig workers on the Deepwater Horizon, for example, had stop work authority to shut down drilling if they had safety concerns, but as a practical matter, most workers were afraid to invoke it. The pressure from managers onshore to get the well drilled was simply too great.

How can organizations improve safety communications and ensure that bad news, however unpopular, is heard and considered?

The authors studied the habits of high-reliability organizations (HROs) to see how they address communications issues, and came away with three recommendations:

Separate risk assessment functions from leadership decisions about how much risk is acceptable. This separation can be achieved by setting standards for risk evaluation that must be completed before a leadership decision, such as moving ahead with a drilling program, can be made.

Be open to bad news. Knowledge about specific risks cant be hidden or downplayed to protect team morale, to avoid unpleasant conversation or to assuage competitive worries that risk communication or safety issues will leak to outsiders. Quite simply, people cant manage risks if they arent aware of them. In risk assessment, positive thinking isnt a business virtue.

Keep options open. Reliability requires enough time to carefully investigate and deliberate a situation. When schedule changes or a decision that stop drilling are declared out of the question, it may block any safe path forward. The Deepwater Horizon was squeezing the Macondo well into a busy drilling schedule, and any delays threatened other drilling programs. Rather than acknowledging that the Macondo well couldnt be completed as planned and adjusting the schedule, leadership tried to maintain chirpy optimism and a can-do attitude.

These factors were exacerbated by the fact that part of the drilling crews pay was contingent on speed and maintaining the schedule.

It really boils down to leadership, Jetter said. Does leadership have all the alternatives on the table? Or is residence defined as getting the job done no matter what? If you have a culture of dont talk about that thing or keep a can-do attitude, then effective communication wont happen.

It also means building more time into drilling schedules to allow for safety-related delays, which will likely become more difficult as the economic challenges of extracting fossil fuels increase.

But as the Macondo disaster reminds us, ignoring safety concerns from the front lines or dismissing communications issues out of hand can be catastrophic.

Loren Steffyis a writer-at-large for Texas Monthly, an executive producer for Rational Middle Media and a managing director for 30 Point Strategies, where he heads the 30 Point Press publishing imprint. He is the author of five nonfiction books: Deconstructed: An Insiders View of Illegal Immigration and the Building Trades (with Stan Marek), The Last Trial of T. Boone Pickens (with Chrysta Castaeda), George P. Mitchell: Fracking, Sustainability, and an Unorthodox Quest to Save the Planet, The Man Who Thought Like a Ship, and Drowning in Oil: BP and the Reckless Pursuit of of Profit. His first novel, The Big Empty, was published in May 2021.

Steffy is the former business columnist for the Houston Chronicle and previously was the Dallas (and Houston) bureau chief and a senior writer for Bloomberg News. His award-winning writing has been published in newspapers and other publications worldwide. He has a bachelors degree in journalism from Texas A&M University.

UH Energy is the University of Houstons hub for energy education, research and technology incubation, working to shape the energy future and forge new business approaches in the energy industry.

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Foundations Stand at First Mediterranean Offshore Wind Farm | Offshore Wind – Offshore WIND

Posted: at 8:53 pm

Van Oords jack-up MPI Resolution has installed the ten monopile foundations at the first wind farm to be built in the Mediterranean Sea the 30 MW Taranto offshore wind farm.

The Taranto offshore wind farm, also known as Beleolico, is located in Italys Apulia Region near the Taranto harbour.

The wind farm will comprise ten MySE 3.0-135 wind turbines provided by MingYang Smart Energy.

At this moment preparations are being made for the installation of the turbines and the expectation is that this will be completed in February, a spokesperson for Van Oord told offshore WIND.

MPI Resolution is in charge of installing the wind farms monopiles, secondary steel, and the wind turbines.

The wind farm is scheduled to be fully commissioned in 2022 and provide about 55,600 MWh of electricity per year, enough to meet the demand of around 18,500 households, Renexia SpA, the developer of the project, said.

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EDF partners up to deliver 1GW Celtic Sea floating offshore windfarm – New Civil Engineer

Posted: at 8:53 pm

Ireland-based DP Energy is to join forces with EDF Renewables to develop the Gwynt Glas floating offshore windfarm in Welsh and English waters, which is expected to have a capacity of up to 1GW.

According to EDF, the windfarm is a key part of meeting the ambition declared by Crown Estates last autumn to have 4GW of offshore wind capacity in the Celtic Sea.

Floating technologies, which are better suited to deeper waters than traditional fixed foundations, are set to play a key part in the sustainable future of UK offshore wind, unlocking new areas of seabed.

News of the project comes after industry specialists warned that fixed offshore wind turbines were becoming too big for foundation capacity.

EDF has confirmed that work to refine the development area and constraint studies for the project are already underway. Initial research is focusing on a 1,500km2 area located approximately 70km from the shore.Remote aerial surveys for marine mammal and birdsare said to have started in spring last year, indicating the commitment already made to the project.

EDF Renewables UK head of offshore wind Scott Sutherland said: This is a great start to 2022 for us and we are very pleased to announce this partnership with DP Energy. We firmly believe Gwynt Glas will be a catalyst for further supply chain growth across the UK which is something we as a company are very supportive of.

We will use our experience in offshore wind to help bring opportunities for local, regional and national companies on this project and on others, such our Blyth floating project and the two we are bidding for in the ScotWind process.

Floating offshore wind is an exciting new technology and will bring much needed inward investment which can regenerate coastal economies and communities.

No details about the technical elements of the floating turbines has been released but the scale of the development at 1GW is significant the combined capacity of EDFs current installed onshore and offshore wind power and battery installations across 37 sites amounts to the same total. The firm has said that it currently has 5GW of renewable energy project in the planning and development stage.

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Scotland advances offshore collaborative framework – reNEWS

Posted: at 8:53 pm

The Scottish Offshore Wind Energy Council (SOWEC) has published a set of draft principles that it aims to underpin a new collaborative framework for Scotlands offshore wind sector.

SOWEC, which is a partnership between the Scottish public sector and the offshore wind industry, will now seek feedback on the draft principles through engagement with Scottish ports and the wider supply chain.

The principles set out how companies are expected to work together, and practical steps such as sharing data and communication that can lead to better outcomes.

The 17 principles include priority infrastructure investment for the framework should be floating platform fabrication and manufacture and using the collaborative framework for wider engagement between project developers and port providers.

When ScotWind results are announced on 17 January, developers with option agreements will be asked to join work to move the collaborative framework forward, importantly, adding a level of detail which will set out clear and measurable objectives to the framework and the principles as needed.

SOWEC industry co-chair Brian McFarlane said: The offshore wind industry is an expert in working in partnership in the delivery of projects, and we are now working to apply this expertise to supporting supply chain and ports growth.

ScotWind is a once in a generation opportunity, so it is vital that industry works together to support Scottish ports create a world class cluster that can underpin successful delivery of projects between now and the early 2030s.

Scottish Business Minister Ivan McKee said: As part of ScotWind, developers were asked to clarify their level of commitment to engage and work with the supply chain here in Scotland.

The principles being published today are a clear way to support these commitments, helping forge an effective partnership to deliver on the exciting potential that offshore wind presents in the coming years.

Scotland has world class engineering and energy expertise, and I am pleased to see Scottish ports being engaged in this partnership.

I am grateful to industry members of SOWEC for their work in taking forward the recommendations of the Strategic Investment Assessment, and look forward to working with them to agree next steps after ScotWind lease options are announced.

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Dirty data is not an AI-for-AML dealbreaker – BAI Banking Strategies

Posted: at 8:52 pm

A rise in financial crime since the COVID-19 pandemic and the burden of increasingly complex compliance requirements mean that many older anti money-laundering (AML) systems are not coping well.

Artificial intelligence is emerging as a potential game-changer. With its ability to rapidly process and spot anomalies in large volumes of data, AI could provide AML technologies with an upgrade and could unlock billions of dollars in value globally.

Many believe that, in order to reap the full benefit of an AI transition, organizations need high-quality data. But using dirty data as an excuse to shy away from AI to combat financial crime could prove riskier in the long run. Regardless of data quality, there may be potential benefits from an AI transformation.

What you believe to be dirty data might not be as dirty as you think. Anomalies like duplicate entries, misspelled or alternatively spelled words and names, punctuation errors, and some types of incomplete or outdated data that trip up older systems tend to not be a problem for AI. Advanced AI solutions are programmed to analyze data from multiple angles and sources, so they can produce meaningful results even in the presence of anomalies and exceptions.

For example, a person making a transfer could write their full first name one time and only their initials the next time. While less advanced systems would flag this as an anomaly, AI can corroborate the two entries and understand that they apply to the same person. The same goes for numerous other data discrepancies that could be keeping you away from AI but are not as problematic as you first thought.

The average bank processes thousands of transactions from multiple sources each second, so the scope for data error is staggering. Its no wonder that organizations worry about dirty data. An AI transformation can be done in phases that allow lessons learned in one area to be applied in other areas in the future.

Isolating SWIFT data from the masses of other data can be an ideal place to start. An advanced AI-based system can rapidly analyze terabytes of data to reveal suspicious transaction profiles and unlock hidden insights. Implementing AI in this one area alone could save significant compliance costs, reduce human error and free up hours of personnel time.

If your organization is truly plagued by dirty data, then any rules-based AML system will be compromised. Just living with dirty data is, therefore, a dangerous option, so cleaning up your data as much as possible should be a priority. Adopting an unbiased or intuitive AI system may offer value from the get-go even as your data cleanup continues in the background.

New AI technologies can bypass many of the dirty data issues that would trip up the legacy systems. This means that you dont need to wait until youve done a thorough data-cleansing to start protecting yourself against would-be money launderers and other criminals.

Idan Keret is chief customer officer for ThetaRay.

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AI is leveraging advanced analytics for physical security operations – SecurityInfoWatch

Posted: at 8:52 pm

The paradigm shift in physical security from a reactionary and defensive proposition to a more proactive stance has characterized the migration of advanced analytics into almost every platform. Security end-user demanding systems that are faster and more intelligent, and at the same time cost-efficient and better suited for integrated solutions, are looking for more than technology that detects and deters. They now require systems that can digest vast amounts of data, then process autonomously monitored responses at lightning speeds. Upping the preemptive ante is a crucial step in the growth of intelligent physical security systems. And it is currently moving beyond the ubiquitous use of video surveillance analytics to other sensory devices at the edge and controlling access into and across the interior of a facility.

This improvement in security operations at the enterprise level is also addressing the convergence of physical and cybersecurity threats while easing the migration into a more defined digital world. As stated in a recent Security Industry Association (SIA) report: Security will move beyond video surveillance and access control with features such as autonomous reporting, monitoring and response. Autonomous security systems will communicate with each other and with people and will act on their own to collect more information and trigger complex safety protocols. Security technology will operate with predictive intelligence and will be deeply integrated with building systems, including HVAC, lighting, elevators and fire alarm and suppression. Remote monitoring capabilities will be the norm and this interconnectivity will bring the Internet of Things (IoT), 5G edge sensors, mobile devices, body-worn cameras, robots, drones, contextual conversational AI and augmented reality together to provide frictionless access, risk analysis, and predictive behaviors for proactive responses with real-time machine intelligence.

For example, says Sam Joseph, co-founder and chief executive officer of Hakimo, whose company develops software for the physical security industry powered by artificial intelligence (AI), suppose you work at Google or any big enterprise and you have offices in San Francisco and in New York, and suppose you are in the San Francisco office, or somewhere on the west coast, logging into your email using single sign-on or any other standard techniques. If someone uses your badge or a cloned badge of yours in New York, these two pieces of information are stored in completely separate systems. No one will notice that there is no system connecting the two, and a (security breach) as obvious as this goes completely undetected today.

Joseph, like many technologists who have made their way into the physical security industry because they see a sector that is moving forward despite itself, contends that physical security systems have lagged behind cybersecurity advancements for the previous two decades because many systems operators are overwhelmed with incoming data and constant alerts that distract more than inform and that is more than most humans can manage.

This was a problem that cybersecurity faced in the 2000s. Fifteen, twenty years ago when cybersecurity systems started generating a lot of alerts, there was no way a human analyst or a human operator could monitor them all effectively, Joseph continues, pointing out that the cybersecurity industry quickly developed tools like Security Information and Event Management (SIEM) and Orchestration, Automation and Response (SOAR) software to simplify the data tsunami. Physical security has reached that point only now. And one reason convergence is getting delayed is that cybersecurity is way ahead in terms of tools and techniques. Physical security is still lagging behind. Our vision is to elevate physical security quickly to cybersecurity levels so that cases like the previous examples can be easily resolved.

The Hakimo software streamlines the workflow of a global security operations center (GSOC) by freeing up time for operators and by surfacing security threats that would have gone unnoticed previously. The AI algorithms in the Hakimo software initially serviced video surveillance platforms, but working closely with security end-users, the need to rectify the GSOC logjams and improve security accountability of access control systems moved the solution in another direction.

Security is not just about video. There are access control that can (track) patterns that every employee (exhibits) and so on. There are many (applications) beyond video for which we could use AI to detect anomalies, detect vulnerabilities and anomalous events. Even though we started out with video, there has been a natural progression to our product today based on customer feedback and based on our expertise in other industries like cybersecurity where AI has done important things, says Joseph.

His teams software application with its data analytics algorithms can also analyze alarms across time and diagnose faulty hardware, such as door sensors and sensors. Pointing out anomalies in cardholder behavior is a crucial tool for access control accountability. The software can point out impossible travel (the same card being used at multiple locations within a short duration which is physically impossible), unusual time or location of usage.

The real world is complicated (when working with physical security). Of course, somebody from the cybersecurity world can argue that cybersecurity is also complicated, but one of the big challenges that we face with physical security are the (disparate) systems. Just take cameras, for example. Every time there's an access control event, we look at the corresponding video and analyze what's happening. We still run into customers that have 10% analog cameras in their fleet. Then there are other customers that might have advanced five-megapixel or even better cameras. Some might have standard VGA cameras from five years ago or ten years ago, admits Joseph. So, one challenge that we constantly run into is how can we build algorithms that can handle high-resolution footage from a five-megapixel camera, as well as a 320p or 480p or a small resolution camera.

That's just resolution. That's just one dimension. You have solutions like this across other dimensions, he continues. It could be the kind of door. You might have a glass door, a wooden door. In different lighting conditions, the camera might be outside facing the door or inside facing outside. And if there is sun outside with a lot of glare coming in. So, just with cameras, there are plenty of challenges. Now you add one more dimension, where you have different access control systems. C-CURE does things in one way, Lenel does things in another way. Pro-Watch just has a slightly different look and S2 has a completely different architecture. Building something that works with different kinds of systems and different kinds of real-world environments is also the biggest challenge, but it has also become our biggest strength.

Those strengths have been more than tested over the last 24 months with the lingering COVID crisis that has staggered office time for workers and challenged employers to provide an extra measure when it comes to duty of care. The mindset of what an access control system is and what it should do has been turned on its head. For Joseph, the present environment has been a motivating element for a changing technology segment.

COVID was a significant change for the physical security departments within enterprises because everyone started turning to physical security and asking, How many people are there in the building today? What's our occupancy right now? That data was always there in your Lenel database or in your C-CURE systems, but nobody cared (to leverage) it. This crisis has shown, in some sense, the value that the data sitting in these systems have in general for security, health and safety. It also showed how difficult it is to do something extremely basic, Joseph says. We literally have talked to customers who were running reports daily in Lenel, exporting into a spreadsheet, and then copy-pasting the data into a different spreadsheet and before finally building graphs on their own tools to show how building utilization is changing across time.

Joseph continues that it is all about the software now. And when he and his company talk about software, it is an AI-driven solution.

We put zero hardware in the field. We just take in the existing cameras, existing access control systems and use our algorithms. It shows how software has become much more powerful and important than hardware when integrating a system. Even if you have a suboptimal camera or suboptimal hardware in the field, superior software can make up for that. And when I say software, I'm using software as a general term that includes AI, he adds.

Given the steady migration of AI into the physical security space, where does Joseph see the evolution of AI-based access control solutions going five or ten years down the road?

It's a very general point, but one clear trend is the (declining) number of security guards; there's a huge labor shortage. While the number of guards is going down, the number of sensors in the industry is growing exponentially. So, there's a real need in the industry to monitor all these sensors and monitor all these cameras. We see monitoring emerging as the largest sector within the physical security industry. AI is desperately needed because we literally don't have enough humans to look at all these cameras, concludes Joseph. If you don't have anyone looking at it, it just becomes a forensic tool, which it has historically been in most cases. Analyzing video at scale, analyzing events at scale will be the primary use case for AI.

About the Author:Steve Lasky is a 34-year veteran of the security industry and an award-winning journalist. He is the editorial director of theEndeavor Business MediaSecurity Group, which includes magazinesSecurity Technology Executive,Security BusinessandLocksmith Ledger Internationaland top-rated webportalSecurityInfoWatch.com.Steve can be reached atslasky@endeavorb2b.com.

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AI Weekly: What can AI tell us about social unrest, virus structures, and carbon emissions? – VentureBeat

Posted: at 8:52 pm

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Applying data science to predict unrest. AI that can anticipate the next variant of COVID-19s structure. Reducing carbon emissions from planes using algorithms. Thats a few of the headlines in AI this week, which ran the gamut from the dour (how AI might prevent the next attack on the U.S. Capitol) to the uplifting (making air travel greener). Its caveated optimism, but nonetheless a breath of fresh air in a community thats becoming increasingly cynical about the technologys potential to do good.

Wired first reported that a researcher at the University of North Carolina ran simulations using AI systems, including Alphabet-owned DeepMinds AlphaFold and the University of Washingtons RoseTTAFold, to predict the protein structure of the Omicron variant of COVID-19. Ford managed to predict one structure that was pretty much right an impressive feat, given that he arrived at his conclusions before scientists were able to map Omicrons structure properly.

AI promises to expedite certain processes in drug discovery and virology, for example identifying compounds to treat conditions for which medications remain elusive. But as Sriram Subramaniam, a professor at the University of British Columbia who studied Omicron samples, told The Register, having access to a real sample still beats algorithmic models. AI still cant predict things like the strength of new virus variants binding to host cells, for instance, or the infectiousness of those variants.

Could AI perhaps predict events like the January 6 attack on the U.S. Capitol? A piece in The Washington Post this week investigates the premise. While the consensus is mixed, some researchers believe that algorithms can serve as early indicators of violence in regions ahead of major political conflicts.

Unrest prediction, also known as conflict prediction, is a burgeoning field in academia and industry. It and its practitioners, such as the University of Central Floridas CoupCast, aim to design systems that consider variables (e.g., the role of a leader encouraging a mob, long-term democratic history) to determine whether, for example, electoral violence might occur.

Those who are bullish about the technology say that its already revealed surprising insights, like the fact that social media conflict is an unreliable indicator of real-world unrest. But others caution that its little better than chance in terms of accuracy and that it could be used to justify crackdowns on peaceful protests.

Actors react, Roudabeh Kishi, director of innovation at the nonprofit Armed Conflict Location & Event Data Project, a group engaged in conflict prediction research, told The Post. If people are shifting their tactics, a model trained on historical data will miss it.

The global aviation industry produces around 2% of all human-generated carbon dioxide emissions. If they were a country, all the airlines in the industry some of which run thousands of nearly-empty flights to keep valuable airport slots would rank among the top ten in the world.

Like other greenhouse gases, carbon dioxide drives climate change, leading to extreme weather, larger wildfires, disease from smog and air pollution, food supply disruptions, and other effects. In an effort to combat this, some airlines, including Air France, Norwegian, Malaysia Airlines, Cebu Pacific, Go Air, and Atlas Air, are turning to algorithms trained on data from billions of flights to identify emissions-reducing opportunities. Openairlines SkyBreathe the system recently adopted by Air France can reportedly reduce total fuel consumption by up to 5%.

Other startups, like Flyways, are creating AI-powered platforms that attempt to optimize aircraft routing, giving suggestions on how and where to fly planes. During a six-month pilot program at Alaska Airlines, Flyways claims to have shaved off five minutes from flights and saved 480-thousand gallons of jet fuel on average.

Some critics argue that airlines arent going far enough; they call for a phase-out of short-haul flights in Europe, among other footprint-reducing measures. But considering the long road ahead to meaningfully cutting the worlds carbon output, every bit helps.

If you went a teeny bit slower, you were on time, you had a gate, and because you went a teeny bit slower the airplane actually burned less fuel, that might be a win/win combination for both the guest and the operation and sustainability impact, Diana Birkett Rakow, senior VP of sustainability at Alaska Airlines, told ABC News.

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Thank

AMPs for reading,

Kyle Wiggers

AI Staff Writer

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AI Weekly: What can AI tell us about social unrest, virus structures, and carbon emissions? - VentureBeat

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