Every week brings fresh claims about AI transforming the workplace. A CEO declares a revolution. A think piece predicts millions of jobs vanishing overnight. The noise is relentless.Every week brings fresh claims about AI transforming the workplace. A CEO declares a revolution. A think piece predicts millions of jobs vanishing overnight. The noise is relentless.Machine learning & AI[#item_full_content]

In a collaboration between Tianjin University and the Chinese University of Hong Kong, researchers led by Xiangbin Teng used behavioral and brain activity measures to explore whether people can discern between AI-generated and human speech. The researchers also assessed whether brief training improves this ability. This work is published in eNeuro.In a collaboration between Tianjin University and the Chinese University of Hong Kong, researchers led by Xiangbin Teng used behavioral and brain activity measures to explore whether people can discern between AI-generated and human speech. The researchers also assessed whether brief training improves this ability. This work is published in eNeuro.Security[#item_full_content]

Australian researchers have built an ultra-compact artificial intelligence (AI) chip that is able to make calculations using the power of light, at the speed of light. The nano photonic chip prototype, which harnesses the power of light particles (photons) is built completely in-house at the Sydney Nano Hub at the University of Sydney. The researchers say the prototype could play an important role in developing more energy-efficient AI hardware as global demand for artificial intelligence continues to grow, potentially lowering the overall energy footprint of future computing systems.Australian researchers have built an ultra-compact artificial intelligence (AI) chip that is able to make calculations using the power of light, at the speed of light. The nano photonic chip prototype, which harnesses the power of light particles (photons) is built completely in-house at the Sydney Nano Hub at the University of Sydney. The researchers say the prototype could play an important role in developing more energy-efficient AI hardware as global demand for artificial intelligence continues to grow, potentially lowering the overall energy footprint of future computing systems.Hardware[#item_full_content]

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate. Scientists have long asked the question, “How can the brain learn so intelligently using so little energy?” KAIST researchers have moved one step closer to the answer.Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate. Scientists have long asked the question, “How can the brain learn so intelligently using so little energy?” KAIST researchers have moved one step closer to the answer.Computer Sciences[#item_full_content]

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept bottleneck modeling is one method that enables artificial intelligence systems to explain their decision-making process. These methods force a deep-learning model to use a set of concepts, which can be understood by humans, to make a prediction. In new research, MIT computer scientists developed a method that coaxes the model to achieve better accuracy and clearer, more concise explanations.In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept bottleneck modeling is one method that enables artificial intelligence systems to explain their decision-making process. These methods force a deep-learning model to use a set of concepts, which can be understood by humans, to make a prediction. In new research, MIT computer scientists developed a method that coaxes the model to achieve better accuracy and clearer, more concise explanations.Computer Sciences[#item_full_content]

A dubious link from a friend. A headline too sensational to be true. A video that seems fake but you can’t be sure. As online misinformation grows harder to detect, new artificial-intelligence tools promise to help us separate fact from fiction. But do they actually work?A dubious link from a friend. A headline too sensational to be true. A video that seems fake but you can’t be sure. As online misinformation grows harder to detect, new artificial-intelligence tools promise to help us separate fact from fiction. But do they actually work?Security[#item_full_content]

With only 2,200 people still speaking the Manx language, Chris Bartley is using AI text-to-speech systems to protect and showcase the heritage of endangered languages. Bartley, a School of Computer Science Ph.D. student at the University of Sheffield, has developed a speech and language AI text-to-speech system for endangered languages, with a particular focus upon Manx, the heritage language of the Isle of Man, where he originates from.With only 2,200 people still speaking the Manx language, Chris Bartley is using AI text-to-speech systems to protect and showcase the heritage of endangered languages. Bartley, a School of Computer Science Ph.D. student at the University of Sheffield, has developed a speech and language AI text-to-speech system for endangered languages, with a particular focus upon Manx, the heritage language of the Isle of Man, where he originates from.Machine learning & AI[#item_full_content]

In 1950, William Faulkner delivered a famous acceptance speech for the Nobel prize in literature in which he rallied for the “inexhaustible [human] voice” and his belief in its supremacy—not merely to endure but to prevail. Faulkner reasoned this was because the human voice, transmuted into art, possesses soul—a soul capable of compassion and sacrifice.In 1950, William Faulkner delivered a famous acceptance speech for the Nobel prize in literature in which he rallied for the “inexhaustible [human] voice” and his belief in its supremacy—not merely to endure but to prevail. Faulkner reasoned this was because the human voice, transmuted into art, possesses soul—a soul capable of compassion and sacrifice.Machine learning & AI[#item_full_content]

Northwestern University engineers have developed the first modular robots with athletic intelligence. They can be combined and recombined in the wild, recover from injury and keep moving no matter what’s thrown at them.Northwestern University engineers have developed the first modular robots with athletic intelligence. They can be combined and recombined in the wild, recover from injury and keep moving no matter what’s thrown at them.Machine learning & AI[#item_full_content]

The Pentagon’s designation of the industry-leading AI company Anthropic as a “supply chain risk” suggests that the U.S. government may be using its supply chain authority as leverage in negotiations with U.S. businesses, according to a Northeastern University expert.The Pentagon’s designation of the industry-leading AI company Anthropic as a “supply chain risk” suggests that the U.S. government may be using its supply chain authority as leverage in negotiations with U.S. businesses, according to a Northeastern University expert.Business[#item_full_content]