Robots from around the world converged on Silicon Valley to provide a glimpse of a potential future.Robots from around the world converged on Silicon Valley to provide a glimpse of a potential future.[#item_full_content]
Researchers have developed the first scientifically validated “personality test” framework for popular AI chatbots, and have shown that chatbots not only mimic human personality traits, but their “personality” can be reliably tested and precisely shaped—raising implications for AI safety and ethics.Researchers have developed the first scientifically validated “personality test” framework for popular AI chatbots, and have shown that chatbots not only mimic human personality traits, but their “personality” can be reliably tested and precisely shaped—raising implications for AI safety and ethics.Security[#item_full_content]
AI video translation is not yet a perfect substitute for human translation, according to new research from the University of East Anglia.AI video translation is not yet a perfect substitute for human translation, according to new research from the University of East Anglia.Hi Tech & Innovation[#item_full_content]
A University of Cambridge philosopher argues that our evidence for what constitutes consciousness is far too limited to tell if or when artificial intelligence has made the leap—and a valid test for doing so will remain out of reach for the foreseeable future.A University of Cambridge philosopher argues that our evidence for what constitutes consciousness is far too limited to tell if or when artificial intelligence has made the leap—and a valid test for doing so will remain out of reach for the foreseeable future.Business[#item_full_content]
Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves.Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves.Computer Sciences[#item_full_content]
Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves.Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves.[#item_full_content]
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, has frequently led to confusion rather than clarity. A KAIST research team has now presented a new learning solution that allows AI to accurately learn human preferences even with limited data by assigning it a “private tutor.”No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, has frequently led to confusion rather than clarity. A KAIST research team has now presented a new learning solution that allows AI to accurately learn human preferences even with limited data by assigning it a “private tutor.”Computer Sciences[#item_full_content]
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, has frequently led to confusion rather than clarity. A KAIST research team has now presented a new learning solution that allows AI to accurately learn human preferences even with limited data by assigning it a “private tutor.”No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, has frequently led to confusion rather than clarity. A KAIST research team has now presented a new learning solution that allows AI to accurately learn human preferences even with limited data by assigning it a “private tutor.”[#item_full_content]
Artificial intelligence is getting more powerful—but it’s also racking up a massive energy bill. Some estimate that one maximum-length ChatGPT query can use about twice as much power as an average U.S. home does in one minute. Multiply that by billions of queries and the enormous training AI models require, and the energy impact is staggering.Artificial intelligence is getting more powerful—but it’s also racking up a massive energy bill. Some estimate that one maximum-length ChatGPT query can use about twice as much power as an average U.S. home does in one minute. Multiply that by billions of queries and the enormous training AI models require, and the energy impact is staggering.Energy & Green Tech[#item_full_content]
Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they were not trained on, particularly those that entail manipulating previously unseen objects or handling objects that were encountered before in new ways.Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they were not trained on, particularly those that entail manipulating previously unseen objects or handling objects that were encountered before in new ways.[#item_full_content]
