When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.[#item_full_content]
When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.Computer Sciences[#item_full_content]
Financial markets are rewarding companies that are well-positioned to benefit from widespread adoption of artificial intelligence (AI) with higher returns, according to a new Yale-led analysis of 380 trillion AI tokens, one of the largest datasets of real-world AI consumption ever studied.Financial markets are rewarding companies that are well-positioned to benefit from widespread adoption of artificial intelligence (AI) with higher returns, according to a new Yale-led analysis of 380 trillion AI tokens, one of the largest datasets of real-world AI consumption ever studied.Business[#item_full_content]
The fierce backlash against data centers shows no sign of easing up.The fierce backlash against data centers shows no sign of easing up.Machine learning & AI[#item_full_content]
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates near-miss incidents with outright failures, according to new research led by University of Michigan Engineering.The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates near-miss incidents with outright failures, according to new research led by University of Michigan Engineering.Automotive[#item_full_content]
Quantum computers lack useful functionality without the right algorithms to facilitate their operation. Currently, there are few simple, standardized operations, known as “primitives,” in the quantum toolkit that can help deliver the unique quantum behaviors required for such computers to achieve results beyond classical systems.Quantum computers lack useful functionality without the right algorithms to facilitate their operation. Currently, there are few simple, standardized operations, known as “primitives,” in the quantum toolkit that can help deliver the unique quantum behaviors required for such computers to achieve results beyond classical systems.[#item_full_content]
Quantum computers lack useful functionality without the right algorithms to facilitate their operation. Currently, there are few simple, standardized operations, known as “primitives,” in the quantum toolkit that can help deliver the unique quantum behaviors required for such computers to achieve results beyond classical systems.Quantum computers lack useful functionality without the right algorithms to facilitate their operation. Currently, there are few simple, standardized operations, known as “primitives,” in the quantum toolkit that can help deliver the unique quantum behaviors required for such computers to achieve results beyond classical systems.Computer Sciences[#item_full_content]
Anthropic’s chief executive, Dario Amodei, has lobbied Australian officials for “copyright reform” as the artificial intelligence giant seeks to make a major investment in the country, official briefing notes released Monday show.Anthropic’s chief executive, Dario Amodei, has lobbied Australian officials for “copyright reform” as the artificial intelligence giant seeks to make a major investment in the country, official briefing notes released Monday show.Machine learning & AI[#item_full_content]
Alan Turing, the father of theoretical computer science, made a proposal that has put AI development on a flawed path for three-quarters of a century, a prominent computer scientist has argued.Alan Turing, the father of theoretical computer science, made a proposal that has put AI development on a flawed path for three-quarters of a century, a prominent computer scientist has argued.Machine learning & AI[#item_full_content]
Built from flexible, compliant materials, soft robots are gaining relevance for tasks ranging from minimally invasive surgery to deep-sea exploration but remain held back by a fundamental constraint. To sense their surroundings and react, most soft robots rely on separate electronic sensors, signal-processing circuits and powered actuators, all coordinated by computers. This chain of components adds weight, complexity and points of failure, particularly in wet, hot or high-pressure settings where electronics are highly susceptible to disruption.Built from flexible, compliant materials, soft robots are gaining relevance for tasks ranging from minimally invasive surgery to deep-sea exploration but remain held back by a fundamental constraint. To sense their surroundings and react, most soft robots rely on separate electronic sensors, signal-processing circuits and powered actuators, all coordinated by computers. This chain of components adds weight, complexity and points of failure, particularly in wet, hot or high-pressure settings where electronics are highly susceptible to disruption.[#item_full_content]
