Anthropic said Thursday it has blocked efforts by bad actors to use its artificial intelligence models for malicious activity such as cyberattacks, surveillance, and research that could have led to biological weapons.Anthropic said Thursday it has blocked efforts by bad actors to use its artificial intelligence models for malicious activity such as cyberattacks, surveillance, and research that could have led to biological weapons.Machine learning & AI[#item_full_content]

OpenAI is calling for binding safety requirements on the most powerful artificial intelligence systems, a reversal for a company that has resisted calls for regulation.OpenAI is calling for binding safety requirements on the most powerful artificial intelligence systems, a reversal for a company that has resisted calls for regulation.Machine learning & AI[#item_full_content]

Artificial intelligence (AI) combined with virtual reality (VR) could guide us through tomorrow’s cities before they are even built, according to research in the International Journal of Environment and Pollution. Such models could be useful for architects, planners and policymakers.Artificial intelligence (AI) combined with virtual reality (VR) could guide us through tomorrow’s cities before they are even built, according to research in the International Journal of Environment and Pollution. Such models could be useful for architects, planners and policymakers.Engineering[#item_full_content]

There is a temptation to divide the future of AI into two possibilities: utopia or catastrophe. Neither extreme is particularly helpful.There is a temptation to divide the future of AI into two possibilities: utopia or catastrophe. Neither extreme is particularly helpful.Machine learning & AI[#item_full_content]

Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as random “noise”—to understand how synapses buried deep inside brain networks—or brain-inspired devices—can adapt to improve the learning capabilities of the networks as a whole.Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as random “noise”—to understand how synapses buried deep inside brain networks—or brain-inspired devices—can adapt to improve the learning capabilities of the networks as a whole.Hardware[#item_full_content]

Sandwiched between the electrolyte and electrodes in a lithium-ion battery is a remarkably thin layer of material that strongly dictates battery performance and durability: the interphase. Although typically only a few to tens of nanometers thick, interphases are among the least understood components of an operating battery cell. Their complex and constantly evolving structures make it challenging to determine how their atomic features and microscopic variations translate into macroscopic battery performance.Sandwiched between the electrolyte and electrodes in a lithium-ion battery is a remarkably thin layer of material that strongly dictates battery performance and durability: the interphase. Although typically only a few to tens of nanometers thick, interphases are among the least understood components of an operating battery cell. Their complex and constantly evolving structures make it challenging to determine how their atomic features and microscopic variations translate into macroscopic battery performance.Energy & Green Tech[#item_full_content]

A future in which AI can recognize a person’s unspoken “that’s not what I meant” response from brain signals and adjust its behavior on its own is coming closer. KAIST researchers have developed a technology that detects cognitive mismatch between humans and AI through brainwaves, enabling AI systems to revise their actions in real time according to human goals. The achievement is expected to accelerate the shift from AI that follows explicit commands to AI that can infer human intent.A future in which AI can recognize a person’s unspoken “that’s not what I meant” response from brain signals and adjust its behavior on its own is coming closer. KAIST researchers have developed a technology that detects cognitive mismatch between humans and AI through brainwaves, enabling AI systems to revise their actions in real time according to human goals. The achievement is expected to accelerate the shift from AI that follows explicit commands to AI that can infer human intent.Hi Tech & Innovation[#item_full_content]

For Nicolas Papernot, the secret to strengthening cybersecurity in the age of AI is transparency—sharing information about threats and allowing researchers to probe these systems before attackers do.For Nicolas Papernot, the secret to strengthening cybersecurity in the age of AI is transparency—sharing information about threats and allowing researchers to probe these systems before attackers do.Machine learning & AI[#item_full_content]

Autonomous vehicles and robots need to understand a world that is constantly moving. Vehicles change lanes, pedestrians cross streets, and the roadscape can shift from one moment to the next.Autonomous vehicles and robots need to understand a world that is constantly moving. Vehicles change lanes, pedestrians cross streets, and the roadscape can shift from one moment to the next.Automotive[#item_full_content]