Goto

Collaborating Authors

Results


Artificial intelligence

#artificialintelligence

Deep learning[133] uses several layers of neurons between the network's inputs and outputs. The multiple layers can progressively extract higher-level features from the raw input. For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces.[134] Deep learning has drastically improved the performance of programs in many important subfields of artificial intelligence, including computer vision, speech recognition, image classification[135] and others. Deep learning often uses convolutional neural networks for many or all of its layers.


Global Big Data Conference

#artificialintelligence

FROM CYBER OPERATIONS to disinformation, artificial intelligence extends the reach of national security threats that can target individuals and whole societies with precision, speed, and scale. As the US competes to stay ahead, the intelligence community is grappling with the fits and starts of the impending revolution brought on by AI. The US intelligence community has launched initiatives to grapple with AI's implications and ethical uses, and analysts have begun to conceptualize how AI will revolutionize their discipline, yet these approaches and other practical applications of such technologies by the IC have been largely fragmented. As experts sound the alarm that the US is not prepared to defend itself against AI by its strategic rival, China, Congress has called for the IC to produce a plan for integration of such technologies into workflows to create an "AI digital ecosystem" in the 2022 Intelligence Authorization Act. The term AI is used for a group of technologies that solve problems or perform tasks that mimic humanlike perception, cognition, learning, planning, communication, or actions.


Military AI speeds up human decision-making - Military Embedded Systems

#artificialintelligence

Imagining military artificial intelligence (AI) applications can make one dream up scenarios like those in the Terminator films, but in reality, AI solutions for defense are much more mundane and focused on improving decision-making for humans, whether they're aircraft maintenance personnel; pilots; or intelligence, surveillance, and reconnaissance (ISR) analysts, says John Canipe, Director of Business Development, Air Force, at SparkCognition Government Systems, during a conversation we had at his company headquarters in Austin, Texas. We also discussed the difference between AI and machine learning (ML), how AI is being applied across multiple military domains, and more. MCHALE: Please provide a brief description of your responsibility within SparkCognition Government Systems and your group's role within the company. CANIPE: As Director of Business Development, Air Force, my current responsibilities are product development, capture management, price/licensing of products, and generating new and recurring sales. MCHALE: We often see AI/ML [artificial intelligence/machine learning] in the same sentence, or used to describe the same thing, but what is the actual difference between AI and ML? CANIPE: Differentiating AI from ML is a struggle everyone is having right now.


The Power and Pitfalls of AI for U.S. Intelligence

#artificialintelligence

From cyber operations to disinformation, artificial intelligence extends the reach of national security threats that can target individuals and whole societies with precision, speed, and scale. As the U.S. competes to stay ahead, the intelligence community is grappling with the fits and starts of the impending revolution brought on by AI. The U.S. intelligence community has launched initiatives to grapple with AI's implications and ethical uses, and analysts have begun to conceptualize how AI will revolutionize their discipline, yet these approaches and other practical applications of such technologies by the IC have been largely fragmented. As experts sound the alarm that the U.S. is not prepared to defend itself against AI by its strategic rival, China, Congress has called for the IC to produce a plan for integration of such technologies into workflows to create an "AI digital ecosystem" in the 2022 Intelligence Authorization Act.


Toward Verified Artificial Intelligence

Communications of the ACM

Techniques for automatically generating abstractions of systems have been the linchpins of formal methods, playing crucial roles in extending the reach of formal methods to large hardware and software systems. To address the challenges of very high-dimensional hybrid-state spaces and input spaces for ML-based systems, we need to develop effective techniques to abstract ML models into simpler models that are more amenable to formal analysis. Some promising directions include using abstract interpretation to analyze DNNs (for example, Gehr et al.12), developing abstractions for falsifying cyber-physical systems with ML components,5 and devising novel representations for verification (for instance, star sets and other examples36).


The Morning After: Cryptocurrency may be more centralized than you thought

Engadget

One of the boons of cryptocurrency is meant to be that no particular company, central bank or government has control. That might not be true. Researchers for a report commissioned by the Defense Advanced Research Projects Agency (DARPA) found there can be "unintended centralities" in these supposed decentralized systems. Cryptocurrency power is concentrated among people or organizations with a large chunk of the pie. "Unintended centralities" was the term used, defined as circumstances where an entity has sway over a so-called decentralized system.


The Power and Pitfalls of AI for US Intelligence

WIRED

From cyber operations to disinformation, artificial intelligence extends the reach of national security threats that can target individuals and whole societies with precision, speed, and scale. As the US competes to stay ahead, the intelligence community is grappling with the fits and starts of the impending revolution brought on by AI. The US intelligence community has launched initiatives to grapple with AI's implications and ethical uses, and analysts have begun to conceptualize how AI will revolutionize their discipline, yet these approaches and other practical applications of such technologies by the IC have been largely fragmented. As experts sound the alarm that the US is not prepared to defend itself against AI by its strategic rival, China, Congress has called for the IC to produce a plan for integration of such technologies into workflows to create an "AI digital ecosystem" in the 2022 Intelligence Authorization Act. The term AI is used for a group of technologies that solve problems or perform tasks that mimic humanlike perception, cognition, learning, planning, communication, or actions.


Engineers develop cybersecurity tools to protect solar, wind power on the grid

#artificialintelligence

AMES, Iowa – Solar panels and wind turbines, now projected to produce 44% of America's electricity by 2050, present cybersecurity challenges. They have sensors, controllers, actuators or inverters that are directly or indirectly connected to the internet. They're distributed far and wide across the country and the countryside. Many have insecure connectivity to legacy electric grid systems. They're subject to advanced persistent threats.


How do we find shipwrecks--and who owns them?

National Geographic

There's nothing more romantic than a hunt for hidden treasure--and when those riches are located in the watery depths of the ocean, it can seem even more exciting. Shipwrecks spark the imagination, prompting dreams of untold riches and swashbuckling adventure. More vessels lie at the bottom of the sea than you might think; the National Oceanic and Atmospheric Administration's database lists over 10,000 known wrecks off of United States shores alone--and that's not a complete list. According to United Nations cultural agency UNESCO, there are at least 3 million such wrecks worldwide, some thousands of years old. And then there's the booty some of those ships carried. Though there's an argument to be made that the treasure aboard now-sunken vessels is priceless, some experts estimate as much as $60 billion in precious metals lies on the ocean floor.


Congressional hearings focus on AI, machine learning challenges in cybersecurity

#artificialintelligence

Congressional hearings on artificial intelligence and machine learning in cyberspace quietly took place in the U.S. Senate Armed Forces Committee's Subcommittee on Cyber in early May 2022. The committee discussed the topic with representatives from Google, Microsoft and the Center for Security and Emerging Technology at Georgetown University. While work has begun in earnest within industry and government, it is clear that much still needs to be done. The hearing chair, Senator Joe Manchin (D-WV), articulated the importance of AI and machine learning to the armed forces of the United States. Additionally, the committee highlighted the "shortfall of technically trained cybersecurity personnel across the country in government and industry alike."