Category Archives: Artificial Intelligence
Most plastic is not getting recycled, and AI robots could be a solution – Business Insider
Humans have enlisted nearly 100 AI-powered robots in North American to come to the rescue for something humans are terrible at: recycling.
Even when we try to do it right, we're often making things worse; About one out of every four of the things people throw into the recycling bin aren't recyclable at all.
All those misplaced greasy pizza boxes (not recyclable) and clamshell containers tossed in with the plastics, have imperiled an industry that was never really that effective in the first place.
Only a small fraction of the over 2.1 billion tons of the garbage the world produces each year gets recycled about 16%.
And even that small sliver has gotten smaller over the past year.
For decades, the US sold more than half of its recyclables to China mostly plastics to be melted into pellets, the raw material for making more plastic.
But in March of 2018, China said, "No More."
"They started shipping more and more stuff to China, often contaminated dirty plastics or mixed too many mixed goods," said Kate O'Neill, a UC Berkeley professor and author of "Waste."
Around a quarter of the shipments China received had to be hand-processed, buried in landfills, or incinerated.
So the Chinese government declared that bales could contain only up to half a percent of things that contaminated them, like food wrappers or a dirty jar of peanut butter. US consumers and recycling centers couldn't keep up.
"I think people in the wealthy countries had gotten complacent, never bothering to build more recycling facilities domestically," O'Neill added.
Today, a handful of start-ups are testing out new technology to make recycling sustainable.
AMP Robotics is an artificial intelligence and robotics company that aims to change the way we recycle.
Founder of AMP Robotics, Matanya Horowitz said "the situation with the Chinese export markets have actually been good for [the company]."
Robots use artificial intelligence to sort through recyclables. BHS
AMP Robotics is rolling out its latest model: a "Cortex Robot" that uses optical sensors to take in what rolls by, and a "brain" to figure out what his "hands" should do with something even if it looks different to anything he's seen before.
"A lot of these recycling facilities are structured with the primary task of basically dealing with contamination that's not supposed to be there," said Horotwiz. ""What we see is a lot of recycling facilities are investing in automation to help improve their operations."
At least four companies are rolling out similar models, in the hopes of turning a profit from the US' growing piles of hard-to-sort recyclables.
And investors are taking notice. In November 2019, AMP Robotics announced a $16 million Series A investment from Sequoia Capital.
But what about helping humans get better at choosing what to put in their recycling bins in the first place?
New policies in Shanghai are one of the first steps in China's push to solve its waste problems.
This past summer, citizens will face fines and what are called "social penalties" if they don't sort things properly.
One trash sorting volunteer said, Shanghai started the test run on June 24. "It was very hard for us at the beginning. Everyone was busy, people didn't know how to sort," the volunteer who requested to be unidentified said.
"At first we had some hard times," said Shanghai citizen Zhaoju Zhang. "The most difficult part was how to differentiate between dry and wet trash. It was so complicated that we all got confused."
Almost immediately, hundreds of AI-enabled apps sprouted up in order to assist everyday sorting.
"If it's something that is confusing whether it's dry or wet trash, we can just scan the item and get the answer," Zhang said.
Shanghai citizens are now required to sort recyclables properly from their trash. Yuan Ye
But not everyone has access to AI to help parse the new rules, and many complain that complying is tough, and punishments are too harsh.
Kate O'Neill said the new laws are having a "massive cultural impact" and there are "some concerns about how draconian it is, but it's too early to really tell the results. But it certainly has seems to be a massive culture shift."
This kind of cultural shift in how we throw things away would be challenging in the US, where the average person produces twice as much trash as a Chinese citizen.
But experts warn that rethinking the way we deal with garbage is essential, and AI technology offers a promising way forward.
It's even possible for it to identify who created a piece of trash in the first place.
Horowitz explained that robots are able to learn the features of materials. They are able to sparse whether a material is cloudy or opaque. AI robots may even be able to identify symbols of specific brands. All of these abilities help the robots like Max narrow down the source of contamination and what to do with it.
Last year, over 250 companies signed a MacArthur Foundation agreement pledging that 100% of plastic packaging will be easily and safely reused, recycled, or composted by 2025.
CEO of SC Johnson, Fisk Johnson, said in an interview, "We're a family company, and we have a very long-term view, and business has to be part of the solution."
Whether or not they make good on this pledge, AI will be quietly watching, and gathering data on the packaging these brands continue to use.
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Most plastic is not getting recycled, and AI robots could be a solution - Business Insider
Report to Congress on Artificial Intelligence and National Security – USNI News
The following is the Nov. 21, 2019 Congressional Research Service report, Artificial Intelligence and National Security.
Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technologys development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.
AI technologies present unique challenges for military integration, particularly because the bulk of AI development is happening in the commercial sector. Although AI is not unique in this regard, the defense acquisition process may need to be adapted for acquiring emerging technologies like AI. In addition, many commercial AI applications must undergo significant modification prior to being functional for the military. A number of cultural issues also challenge AI acquisition, as some commercial AI companies are averse to partnering with DOD due to ethical concerns, and even within the department, there can be resistance to incorporating AI technology into existing weapons systems and processes.
Potential international rivals in the AI market are creating pressure for the United States to compete for innovative military AI applications. China is a leading competitor in this regard, releasing a plan in 2017 to capture the global lead in AI development by 2030. Currently, China is primarily focused on using AI to make faster and more well-informed decisions, as well as on developing a variety of autonomous military vehicles. Russia is also active in military AI development, with a primary focus on robotics.
Although AI has the potential to impart a number of advantages in the military context, it may also introduce distinct challenges. AI technology could, for example, facilitate autonomous operations, lead to more informed military decision making, and increase the speed and scale of military action. However, it may also be unpredictable or vulnerable to unique forms of manipulation. As a result of these factors, analysts hold a broad range of opinions on how influential AI will be in future combat operations. While a small number of analysts believe that the technology will have minimal impact, most believe that AI will have at least an evolutionaryif not revolutionaryeffect.
Military AI development presents a number of potential issues for Congress:
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Report to Congress on Artificial Intelligence and National Security - USNI News
With artificial intelligence to a better wood product – Newswise
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Newswise Wood is a natural material that is lightweight and sustainable, with excellent physical properties, which make it an excellent choice for constructing a wide range of products with high quality requirements - for example for musical instruments and sports equipment. Unfortunately, as most natural products, wood has a very uneven material structure that extends over several length scales. Therefore, large safety margins are often required during processing, which limit the efficiency of material utilisation. With the help of science, this drawback could soon be resolved. A key technology for this is artificial intelligence.
Neuronal networks sort out flood of data
Mark Schubert works in the research department "Cellulose & Wood Materials" at Empa. In recent years, he has worked intensively on machine learning, with the goal of optimizing the functionality of wood. Schubert and his team would now like to apply this experience to other areas of wood processing. Every processing company faces the problem of interpreting and making decisions based upon the results of the receiving inspection, which provides data on the density, moisture content, fibre direction and annual ring position of the raw wood. In order to process the wood profitably, the sequential production steps such as separation, sorting and treatment must be well planned and many process parameters set correctly. Finally, the quality control shows whether the settings used were correct and whether the processing of the wood was successful. Employees with a sense of proportion and years of experience can often help to avoid mistakes. However, there is no holistic approach that records and analyzes the raw material and process parameters that would allow product quality to be predicted in real time.
Premiere at start-up company Swiss Wood Solutions
That's about to change. Mark Schubert analyses the flood of data produced during wood processing using deep neural networks and incorporates them into the manufacturing process. In order to implement this innovative approach, Schubert works closely with Swiss Wood Solutions, a start-up established at Empa under the management of CEO Oliver Klusler. The company specialises in the refinement of indigenous woods. Using a special press and know-how built up over many years, spruce or maple wood is turned into a hard, dense special material that can replace tropical ebony. The compacted wood species have already been successfully used for violins, guitars and clarinets, as well as for practice swords of the Asian martial art Budo. Now, the existing trial production is to be significantly expanded. Last week the company ceremoniously put its first own industrial press into operation. Together with Swiss Wood Solutions, Mark Schubert will now expand the range of experience so that high-tech hardwood products can be manufactured with consistent quality despite the growing amount of raw material processed. Mark Schubert, Empa and the Swiss Wood Solutions team will be exhibiting at the Swiss Innovation Forum on 21 November 2019 in the Congress Center Basel.
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With artificial intelligence to a better wood product - Newswise
Artificial Intelligence (AI) in Retail Market worth $15.3 billion by 2025 – Exclusive Report by Meticulous Research – GlobeNewswire
London, Nov. 19, 2019 (GLOBE NEWSWIRE) -- According to a new market research report Artificial Intelligence (AI) in Retail Market by Product (Solution and Services), Application (Predictive Merchandizing, Programmatic Advertising, Market Forecasting, In-store Visual Monitoring and Surveillance, Location-based Marketing), Technology (Machine Learning, Natural Language Processing), Deployment (Cloud, On-premises) and Geography - Global Forecasts to 2025, published by Meticulous Research, the global AI in retail market is expected to grow at a CAGR of 35.9% from 2019 to reach $15.3 billion by 2025.
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Over the past few years, digital technologies are being embedded into core value-generation processes in society and businesses by creating innovation. The growing number of millennials with their inclination towards digital-first approaches is putting organizations under constant pressure to innovate; thus, making artificial intelligence (AI) a top priority for retail businesses. Various well-established retailers are struggling with increasing cost, dissatisfied customers, declining sales and upstart competition. Implementing artificial intelligence in retail creates new opportunities and capabilities for retailers by leveraging new possibilities, fastening processes, and making organizations adaptable to changes in the future. Realizing the fact, retail companies are investing in billions to reap benefits of AI technology and improve profitability of their businesses. Strong participation of industry players in leveraging AI technology is reshaping the technology landscape of the retail industry.
The overall artificial intelligence in the retail market is witnessing a consistent penetration of smartphones & connected devices, advancements in big data for retail sector, rapid adoption of advancement in technology across the retail chain, and increasing adoption of the multi-channel or omnichannel retailing strategy. Furthermore, the efforts from retailers to gain access to more customers, enhance business visibility, and build customer loyalty are also playing a vital role in driving adoption of AI technology in the retail industry. The increasing adoption of AI-powered voice enabled devices owing to their benefits in the form of enhanced user experience and improved productivity are also contributing to the market growth.
The global artificial intelligence market in retail is majorly segmented by product offering, application, learning technology, type, deployment type, and geography. Based on product offering, the global AI in retail market is majorly segmented into solutions and services. The solution segment is categorized into chatbot, customer behavior tracking, customer relationship management (CRM), inventory management, price optimization, recommendation engines, supply chain management, and visual search. The service segment is further segmented into managed services and professional services. Recommendation engine dominates the AI solutions market for the retail industry and it is expected to register a strong growth over the forecast period. The features in terms of enhanced user experiences, better customer engagement, precise recommendations of products, and personalized recommendation is helping recommendation engines to maintain their growth in the global artificial intelligence in retail market.
Based on application, the overall AI in retail market is majorly segmented into predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring & surveillance, and location-based marketing. In-store visual monitoring and surveillance applications are spearheading the growth of the AI market in the retail industry. This segment is expected to register a steady growth over the coming years and continue its dominance during the forecast period. Its benefits in the form of better inventory tracking, customer traffic monitoring, enhanced safety protocols, prevention against shoplifting, outpacing shrink caused by employee theft, vendor fraud, and administrative errors are contributing to the growth of this segment.
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Geographically, the global artificial intelligence in retail market is segmented into five major regions, namely, North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The global AI in retail market is analyzed methodically with respect to major countries in each of the regions with the help of bottom-up approach to arrive at the most precise market estimation. At present, North America holds a dominating position in the global AI in retail market. The region has high technology adoption rate, presence of key players & start-ups, and high penetration of internet. Consequently, North America is expected to retain its dominance throughout the forecast period. However, factors such as rapid growth in consumer spending, presence of young population, government initiatives towards digitization, developing internet and connectivity infrastructure, and growing adoption of AI-based solutions and services among retailers are helping Asia Pacific region to register the fastest growth in the global artificial intelligence in retail market.
The global artificial intelligence (AI) in retail market is consolidated and dominated by few major players namely, Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Salesforce.com, Inc. (U.S.), and BloomReach, Inc. (U.S.) along with several local and regional players.
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Google’s new study reveals ‘Artificial Intelligence benefiting journalism’ – Digital Information World
A recently released study explains how News Robots and journalism can benefit from Artificial Intelligence. According to the study, Artificial Intelligence can give reports more time to focus on some new ways to produce and deliver news to viewers. According to a report by a joint effort by Polis from the London School of Economics and Political Science and the Google News Initiative, it states that Artificial Intelligence could enable the journalists to simply leave the ordinary and repetitive tasks to machines and focus on other important tasks. News Organizations and AIAccording to a recent study that surveyed around 71 news organizations available in 32 different countries reveals that there are so many newsrooms already using the AI to find videos and images and also transcribe it into multiple languages.
According to LSE, some news organizations like Finnish Public broadcaster Yle are already using news robots, these news robot journalists available at YLe are producing hundreds of pieces of textual content and illustrations within a week. There are so many examples of journalism and AI already working together including the use of AI to analyze the election results and corporate earnings.
Due to the world moving more towards digitalization, the business model for local newspapers is broken and beyond repair anymore.
In August, The Vindicator, Ohio officially closed the organization making its city without any daily newspaper. According to McClatchy and Google, the Youngstown, Ohio would be the first city to have a new digital news site and the New Youngstown site, Mahoning Matters was launched in October.
One of the third-largest newspaper chains in the U.S. is now facing the financial problems and is one verge of closing down. Last week, McClatchy announced that the U.S. government should grant pension insurer to take over the companys pension plan.
Read next: Now you can read stories in two languages simultaneously in Google News app
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Artificial intelligence warning: Development of AI is comparable to nuclear bomb – Express.co.uk
Theoretically, AI could keep reprogramming and upgrading itself without human interference until it becomes more intelligent than us. At that point, experts warn, it could view humanity as a hinderance and will use its intelligence to replace us at the top. Ultimately, the smarter AI becomes, the easier it will be able to develop itself until its growth massively outpaces humanitys.
One expert believes researchers could lose control of the pace of AI, and compared it to how the nuclear arms race got out of control in the 1930s.
In the 1930s, western scientists began working on the development of the nuclear bomb which was thought would take decades.
However, when World War 2 broke out, both the axis and the allies entered an arms race to develop nuclear arms which massively increased the pace of the project.
The US sealed the end of the war when it dropped two nuclear bombs on the Japanese cities of Hiroshima and Nagasaki on August 6 and 9, 1945.
Bryan Walsh, author of the new book End Times which analyses the threats which could put an end to humanity, believes something similar is happening now with AI.
Mr Walsh told Express.co.uk: The big issues going forward with AI is that we get more powers and the ability to do things that we couldnt do before.
We get ahead of ourselves and we struggle to control that. We saw that with the development of nuclear arms.
Now we are seeing the same. The technology itself is advancing very fast but our ability to control it is lagging behind.
READ MORE:Computer can predict if you will die within the next year
Science pushes forward and often the attempt is to figure out what you can do, rather than just should you do it or what is going to happen if you do it.
Just ask scientists in the 1930s if a nuclear bomb could be created, they thought it would take decades. And just ten years later you have Hiroshima.
These technologies can advance even faster than the practitioners realise and there is no real control system.
Some of the worlds leading experts have previously warned about the rise of AI and how it might impact humanity.
DON'T MISSAI apocalypse: Artificial intelligence will one day be 'weaponised'Elon Musk: SpaceX CEO savaged for fairytale plans to live foreverAI WILL lead to human extinction if one crucial change isnt made
The late Stephen Hawking said: Success in creating effective AI, could be the biggest event in the history of our civilisation. Or the worst. We just dont know.
So we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.
Unless we learn how to prepare for, and avoid, the potential risks, AI could be the worst event in the history of our civilisation.
It brings dangers, like powerful autonomous weapons, or new ways for the few to oppress the many. It could bring great disruption to our economy.
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Artificial intelligence warning: Development of AI is comparable to nuclear bomb - Express.co.uk
Podcast decodes ethics in artificial intelligence and its relevance to public – Daily Bruin
The Beyond the Turing Test podcast wants to disprove that artificial intelligence will result in a real-life Terminator, all while discussing ethics in technology.
Co-hosted by second-year computer science student Arnav Mathur and third-year linguistics and computer science student Pranav Singh, the podcast launched Nov. 1 and is set to air biweekly. Focused on creating a discourse on the rapidly developing AI integrated into our day-to-day lives, Singh said the podcast aims to start a conversation about AI and ethics with the general public. The pair is looking forward to expanding the scope of who discusses ethics in AI, as it tends to be a very niche topic that is limited to academic circles, Mathur said.
We feel like nothing like this really exists and there is no real way to disseminate this kind of information to people in a consumable manner, Mathur said. A lot of what we see right now is in the form of research papers or journals, so we felt there was a lacking in getting the message out.
[Related: Student paints picture of how science background can strengthen art]
When initially brainstorming the podcast, Singh said they had to consider how conversational or formal they wanted to make it. Academic podcasts require more attention from listeners to fully grasp the concepts, which Singh said presented a challenge as they first began. The pair ended up rerecording its first episode, as Mathur said they chose a conversational style for a more organic discussion that became a stream of consciousness rather than a structured piece. As the podcast is still in its beginning stages, its first iteration may not be perfect, and Singh said they are looking to gauge feedback and continuously improve their format.
Examining ethics alongside AI has been a challenge of presenting the technical information while distilling the topics to a level that anyone can understand, Singh said. As both hosts are computer science-oriented, Mathur said they have to check themselves to make sure they are delving into philosophical ideologies and giving ethics the value it deserves. Their ultimate goal is for listeners who do not have any scientific background to grasp the concepts, Singh said.
We have a twofold approach where we say we need to define the space of artificial intelligence and let people know what it actually is and dispel the myths surrounding it, Singh said. At the same time, we want to start the conversation and get people thinking about ethics in AI. Things need to be created with humans in mind.
The co-hosts goal for the near future is to involve more guest speakers, especially faculty that are leading the industry, Mathur said. Alex Alben, a professor at the UCLA School of Law, serves as a faculty advisor to the larger AI Robotics Ethics Society on campus and is set to be a guest on the podcast. He said the general public is hungry for knowledge and answers about AI, so any form of media that engages this topic will be popular.
Were at a very interesting point in time where AI-related technologies are becoming very rapidly adopted in our society, Alben said. And there is a growing recognition that artificial intelligence is shaping peoples lives in ways that they do understand and also in ways they dont understand.
[Related: Alumna expresses her emotions through digital art on self-made website]
Mathur said they aim to reach people who might not initially consider the topic. In a more macro perspective, they naturally want it to be a staple that people listen to because it is relevant to current social discourse, Mathur said. They are hoping to expand on topics that apply to AIs incorporation into our daily lives. Beyond the Turing Point intends to have something for everyone as it combines creativity and technology, Singh said.
We are part of the only club nationwide devoted to ethics, AI and technology, Singh said. We have the world as our oyster, so we want to take as much advantage of that and grow it as much as we can.
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Podcast decodes ethics in artificial intelligence and its relevance to public - Daily Bruin
Global Military Artificial Intelligence (AI) and Cybernetics Market Report, 2019-2024: Focus on Platforms, Technologies, Applications and Services -…
DUBLIN--(BUSINESS WIRE)--The "Global Military Artificial Intelligence (AI) and Cybernetics Market: Focus on Platform, Technology, Application and Services - Analysis and Forecast, 2019-2024" report has been added to ResearchAndMarkets.com's offering.
This report projects the market to grow at a significant CAGR of 18.66% on the basis of value during the forecast period from 2019 to 2024.
North America dominated the global military artificial intelligence market with a share of 48.23% in 2019. North America, including the major countries such as the U.S., is the most prominent region for the military artificial intelligence market. In North America, the U.S. acquired a major market share in 2019 due to the major deployment of countermeasures in the defense sector in the country.
The global military artificial intelligence market has gained widespread importance owing to the rising adoption of artificial intelligence for the military operation. However, the lack of standard professional for the use of AI-integrated equipment and the rising cyber threat for military data are some of the factors that are restraining the market growth.
Expert Quote
The rising demand for artificial intelligence for various military equipment across the different platforms is forcing the artificial intelligence solution provider to develop the products with more advanced technologies. Moreover, the increasing need for situational awareness and growing demand for cloud services in the military around the world are expected to drive the market.
Scope of the Market
The market research provides detailed market information for segmentation on the basis of application, platform, technology, service, and region. The purpose of this market analysis is to examine the artificial intelligence and cybernetics market outlook in terms of factors driving the market, trends, technological developments, and competitive benchmarking, among others.
The report further takes into consideration the market dynamics and the competitive landscape along with the detailed financial and product contribution of the key players operating in the market.
Market Segmentation
The military artificial intelligence market is further segmented into application, platform, technology, service, and region. The naval platform dominated the global military artificial intelligence market in 2018 and is anticipated to maintain its dominance throughout the forecast period (2019-2024).
While highlighting the key driving and restraining forces for this market, the report also provides a detailed study of the industry that has been analyzed. The report also analyzes different application that includes cybersecurity, warfare platform, surveillance, logistics and transportation, autonomous weapons and targeting system, battlefield healthcare, and simulation. In the platform segment, the market is segmented into land, air, naval, and space. In the technology segment, the market is segmented into learning and intelligence, advance computing, and AI system. In the service segment, the market is segmented into hardware, software, and services.
The military artificial intelligence and cybernetics market is segregated by region under four major regions, namely, North America, Europe, APAC, and Rest-of-the-World. Data for each of these regions (by country) is provided.
Key Companies
The key market players in the global military artificial intelligence and cybernetics market include General Dynamics, Lockheed Martin Corporation, Northrop Grumman Corporation, BAE system, Boeing, Blue Bear, Charles River Analytics, IBM, Leidos, Raytheon, SparkCognition, SAIC, Soar Tech and Thales Group.
Key Questions Answered
Key Topics Covered
Executive Summary
1 Market Dynamics
1.1 Drivers
1.1.1 Rising Demand for Artificial Intelligence for Developing Military Equipment
1.1.2 Increasing Need for Situational Awareness in Military
1.1.3 Growing Demand for Cloud Services in Military
1.2 Restraint
1.2.1 Lack of Standard Professional for Operating AI-Integrated Equipment
1.2.2 Rising Cyber Threat for Military Data
1.3 Opportunity
1.3.1 Increasing Adoption of AI for Military Operation
1.3.2 Rising Demand for Next-Generation Battlefield Technologies
2 Competitive Insights
2.1 Key Strategies and Developments
2.1.1 Partnerships, Collaborations, Contracts, and Agreements
2.1.2 Mergers and Acquisitions
2.1.3 Product Launches
2.1.4 Other Developments
2.2 Competitive Benchmarking
3 Industry Analysis
3.1 Industry Overview
3.2 Ongoing Programs of Artificial Intelligence for Defense
3.3 Patent Analysis
3.4 Emerging Technological Trends
3.4.1 Advance Analytics and Big Data
3.4.2 Neural Network
3.5 Artificial Intelligence and Military Integration Challenges
3.5.1 Technology
3.5.2 Process
3.5.3 Personnel
3.5.4 Culture
3.6 Future Trends: Internet of Battlefield Things (IOBT)
4 Global Technological Roadmap for Cybernetics
4.1 Introduction
4.2 Applications of Cybernetics
4.2.1 Human-Machine Interface
4.2.2 Bionic Power (Cyborgs)
4.3 Evolution of Cybernetics
4.4 AI in Cybernetics
4.5 Future of Warfare: Robots, Cyborgs, and Soldiers
5 Global Military Artificial Intelligence (AI) and Cybernetics Market, 2019-2024
5.1 Assumptions and Limitations
5.2 Market Overview
6 Global Military Artificial Intelligence (AI) and Cybernetics Market (by Platform), 2019-2024
6.1 Market Overview
6.2 Land
6.2.1 Armoured Fighting Vehicle
6.2.2 Command & Control System
6.2.3 Unmanned Ground Vehicle
6.2.4 Others
6.3 Naval
6.3.1 Submarine
6.3.2 Unmanned Marine Vehicle
6.3.3 Ships
6.4 Air
6.4.1 Unmanned Aerial Vehicle
6.4.2 Fighter Jets & Aircrafts
6.5 Space
6.5.1 Satellite
6.5.2 Space Launch Vehicle
7 Global Military Artificial Intelligence (AI) and Cybernetics Market (by Technology), 2019-2024
7.1 Market Overview
7.1.1 Learning & Intelligence
7.1.1.1 Natural Language Processing
7.1.1.2 Machine Learning
7.1.1.3 Data Mining
7.1.1.4 Deep Learning
7.1.2 Artificial Intelligence System
7.1.2.1 Computer Vision
7.1.2.2 Virtual Agents
7.1.2.3 Virtual Reality
7.1.3 Advanced Computing
7.1.3.1 Super Computing
7.1.3.2 Quantum Computing
7.1.3.3 Neuromorphic Engineering
8 Global Military Artificial Intelligence (AI) and Cybernetics Market (by Application), 2019-2024
8.1 Market Overview
8.1.1 Surveillance
8.1.2 Warfare Platform
8.1.3 Logistics & Transportation
8.1.4 Autonomous Weapons & Targeting System
8.1.5 Battlefield Health Care
8.1.6 Combat Simulation
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Epiq expands company-wide initiative to accelerate the deployment of artificial intelligence for clients globally – GlobeNewswire
NEW YORK, Nov. 20, 2019 (GLOBE NEWSWIRE) -- Epiq, a global leader in the legal services industry, today announced the expansion of its artificial intelligence (AI) enabled eDiscovery and document review services through a combination of partnerships, proprietary technology, and increased service readiness globally.
AI provides our clients with a key to unlock the potential value, and decrease the risks and costs, inherent in the massive and growing volume of business data, said Roger Pilc, president and general manager, Epiq legal solutions. Already the leading industry practitioner of AI-enabled technology-assisted review services, Epiq has expanded the global reach of its AI services and trained staff.
As part of its expanded AI initiative, Epiq announced today it is rolling out the latest versions of NexLP, Brainspace, and Relativity Analytics globally, across its industry leading global data centers. In addition to working closely with select industry AI technology leaders, Epiq also leverages data scientists and proprietary algorithms to develop new products with transformative capabilities for its clients.
To thoroughly enable the application of AI in its services, Epiq is certifying over 300 of its document review, client service, solution architect, and operations team members through detailed and proprietary training programs.
With this expansion of capability, Epiq can effectively serve its global client base, including the management of multi-jurisdictional projects. Epiq can now assure the consistent ability to manage AI-supported workflows across languages such as Mandarin, Cantonese, Korean and Japanese.
Epiq brings the deepest human knowledge to the art and science of data review, working closely with the industrys leading analytics practitioners, said Eric Crawley, vice president of review and analytics. Effectively mining sensitive data, including privileged information, requires a robust combination of human and machine intelligence. We are excited that our AI competency also provides an advantage in areas of information governance and data breach, allowing Epiq to provide broader value to our clients.
Epiq has deep experience applying advanced analytics to eDiscovery matters for the benefit of its clients, using AI in over 1,000 matters in the past year, spanning an array of litigated matters, regulatory reviews, and internal investigations. Recent client engagements include leveraging AI for a leading international bank, a national healthcare provider, and one of Americas largest cities. The matter type and project size differed greatly in each case, but those clients sought the cost, time, and quality advantages that only Epiq can offer.About Epiq Epiq, a global leader in the legal services industry, takes on large-scale, increasingly complex tasks for corporate counsel, law firms, and business professionals with efficiency, clarity, and confidence. Clients rely on Epiq to streamline the administration of business operations, class action and mass tort, court reporting, eDiscovery, regulatory, compliance, restructuring, and bankruptcy matters. Epiq subject-matter experts and technologies create efficiency through expertise and deliver confidence to high-performing clients around the world. Learn more at https://www.epiqglobal.com.
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Preparing the Military for a Role on an Artificial Intelligence Battlefield – The National Interest Online
The Defense Innovation Boardan advisory committee of tech executives, scholars, and technologistshas unveiled its list of ethical principles for artificial intelligence (AI). If adopted by the Defense Department, then the recommendations will help shape the Pentagons use of AI in both combat and non-combat systems. The boards principles are an important milestone that should be celebrated, but the real challenge of adoption and implementation is just beginning. For the principles to have an impact, the department will need strong leadership from the Joint AI Center (JAIC), buy-in from senior military leadership and outside groups, and additional technical expertise within the Defense Department.
In its white paper, the board recognizes that the AI field is constantly evolving and that the principles it proposes represent guidelines the department should aim for as it continues to design and field AI-enabled technologies. The board recommends that the Defense Department should aspire to develop and deploy AI systems that are:
1. Responsible. The first principle establishes accountability, putting the onus on the human being for not only the development, deployment, [and] use of an AI system, but most importantly, any outcomes that system produces. The burden rests on the human being, not the AI.
2. Equitable. The second principle calls on the DoD to take deliberate steps to minimize unintended bias in AI systems. The rise of facial recognition technology and the subsequent issues of algorithmic biases show that the board is right to prioritize mitigating potential biases, particularly as the DoD continues to develop AI systems with national security applications.
3. Traceable. The third principle addresses the need for technical expertise within the Defense Department to ensure that AI engineers have an appropriate understanding of the technology and the insight of how a system arrives at its outcome.
4. Reliable. The boards fourth principle essentially says that an AI system should do what it has been programmed to do within the domain it has been programmed to operate in. AI engineers should then conduct tests to ensure the safety, security, and robustness of the system across its entire life cycle.
5. Governable. The fifth principle tackles the need for fail-safes in situations where an AI system acts unexpectedly. The AI system should be able to detect and avoid unintended harm, and mechanisms should exist that allow human or automated disengagement for systems demonstrating unintended escalatory behavior.
These ethical principles are a worthwhile and necessary step in a series of actions the Defense Department has recently taken on AI. The department stood up its Joint AI Center nearly eighteen months ago to act as the central hub for AI deployment across the Department. The department then released its AI strategy this past February, prioritizing the concept of a human-centered adoption of AI.
Now that the board has proposed these ethical principles, it will fall to the JAIC to advocate for their adoption and make them actionable. Adoption and implementation are important because they indicate to the U.S. public and other nations that the U.S. defense community is taking AI ethics and risk mitigation seriously. In the past, international organizations, like the OECD, as well as companies like Microsoft or Google, introduce AI ethical principles or establish ethics boards, without always defining mechanisms for implementation or accountability. The Pentagon has the opportunity to be forward-thinking by not only adopting these principles, but actually establishing mechanisms to abide by them.
Additionally, these principles may relieve some of the concerns that tech employees have voiced about working on Defense Department projects or provide some top cover for tech executives looking to partner with the department on AI-related projects. While these principles will not solve every issue in the relationship between the department and tech community, the adoption of these principles should act as a signal that the Pentagon is serious about embedding safety and mitigating risk in its AI systems.
Assuming the boards principles are adopted, the Defense Department will then have to turn its efforts toward implementation. The Pentagon will need long term leadership, buy-in from department leadership and outside groups, and increased technical expertise to apply these principles moving forward. The leadership of the JAIC will be instrumental in encouraging the Departments many components to incorporate this guidance into the design and deployment of their AI systems. In addition to the JAICs leadership, the principles will need long term support from the highest levels of the Pentagon, regardless of the current Secretary of Defense.
The Defense Department should also seek support and buy-in from outside groups, including private sector partners and AI researchers in the tech community. The board engaged numerous voices from the private sector, academia, and AI research community as they developed these principles. As the department begins to formulate policies for implementation, it should collaborate with AI technologists that are at the forefront of research on safety, risk, and unintended consequences in AI.
Finally, the department will need additional technical expertise to successfully execute these principles. The Pentagon should follow the boards recommendation and develop a strategy for both recruiting additional AI engineers and creating programs to train existing department personnel in AI-related skills and knowledge.
The board has accomplished its task, and it is now up to the Defense Department to undertake the challenge of adoption and implementation. The road ahead will certainly have its hurdles, but with the right support and expertise, the Pentagon could emerge as a leader and a model for how to ensure ethics are embedded into AI systems. And in an AI field with a lot of uncertainty, this would be a major victory.
Megan Lamberth is a research assistant for the Technology and National Security program at the Center for a New American Security.
Image: Reuters
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