You’ve likely heard that a picture is worth a thousand words, but can a large language model (LLM) get the picture if it’s never seen images before?You’ve likely heard that a picture is worth a thousand words, but can a large language model (LLM) get the picture if it’s never seen images before?Machine learning & AI[#item_full_content]
Images generated by Artificial Intelligence (AI) have revolutionized architectural design processes, offering architects the agility to produce highly sophisticated and imaginative designs.Images generated by Artificial Intelligence (AI) have revolutionized architectural design processes, offering architects the agility to produce highly sophisticated and imaginative designs.Engineering[#item_full_content]
A new way to teach artificial intelligence (AI) to understand human line drawings—even from non-artists—has been developed by a team from the University of Surrey and Stanford University.A new way to teach artificial intelligence (AI) to understand human line drawings—even from non-artists—has been developed by a team from the University of Surrey and Stanford University.Machine learning & AI[#item_full_content]
Should artificial intelligence be used to improve decision-making in the court of law? According to a new working paper posted to the arXiv preprint server, not only does one example of an AI algorithm fail to improve the accuracy of judicial calls, on its own the technology fares worse than humans.Should artificial intelligence be used to improve decision-making in the court of law? According to a new working paper posted to the arXiv preprint server, not only does one example of an AI algorithm fail to improve the accuracy of judicial calls, on its own the technology fares worse than humans.Machine learning & AI[#item_full_content]
New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation.New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation.Robotics[#item_full_content]
By now, all of us have heard and read a lot about artificial intelligence (AI). You’ve likely used some of the countless AI tools that are becoming available. For some, AI feels like a magic wand that predicts the future.By now, all of us have heard and read a lot about artificial intelligence (AI). You’ve likely used some of the countless AI tools that are becoming available. For some, AI feels like a magic wand that predicts the future.Machine learning & AI[#item_full_content]
An associate professor at Emory University’s Goizueta Business School, Rajiv Garg has studied artificial intelligence for over 25 years. As the field becomes increasingly sophisticated, he believes AI will soon have the power to make every person more creative, innovative and knowledgeable.An associate professor at Emory University’s Goizueta Business School, Rajiv Garg has studied artificial intelligence for over 25 years. As the field becomes increasingly sophisticated, he believes AI will soon have the power to make every person more creative, innovative and knowledgeable.Consumer & Gadgets[#item_full_content]
While roboticists have introduced increasingly sophisticated systems over the past decades, teaching these systems to successfully and reliably tackle new tasks has often proved challenging. Part of this training entails mapping high-dimensional data, such as images collected by on-board RGB cameras, to goal-oriented robotic actions.While roboticists have introduced increasingly sophisticated systems over the past decades, teaching these systems to successfully and reliably tackle new tasks has often proved challenging. Part of this training entails mapping high-dimensional data, such as images collected by on-board RGB cameras, to goal-oriented robotic actions.Robotics[#item_full_content]
Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken for those written by humans?Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken for those written by humans?Computer Sciences[#item_full_content]
Unlike “traditional” AI that relies on predetermined rules and patterns, generative AI is able to produce novel content—like text, video, images, and music. In a way, unlike old AI, generative AI can think outside the box. Its implications are profound and sprawling, with the potential to reshape virtually every branch of society.Unlike “traditional” AI that relies on predetermined rules and patterns, generative AI is able to produce novel content—like text, video, images, and music. In a way, unlike old AI, generative AI can think outside the box. Its implications are profound and sprawling, with the potential to reshape virtually every branch of society.Machine learning & AI[#item_full_content]
