A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.Computer Sciences[#item_full_content]

Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports. The research paper, “Player tracking and identification in ice hockey,” was published in the journal Expert Systems With Applications.Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports. The research paper, “Player tracking and identification in ice hockey,” was published in the journal Expert Systems With Applications.Business[#item_full_content]

Nude photos of pop superstar Taylor Swift recently flooded social media X, where they were viewed and shared by millions of users. But the images weren’t real—they were deepfakes created using artificial intelligence (AI). The incident fanned the debate about regulating deepfakes, and drew so much attention that the White House got involved.Nude photos of pop superstar Taylor Swift recently flooded social media X, where they were viewed and shared by millions of users. But the images weren’t real—they were deepfakes created using artificial intelligence (AI). The incident fanned the debate about regulating deepfakes, and drew so much attention that the White House got involved.Business[#item_full_content]

Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot’s body and that of its human user.Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot’s body and that of its human user.Robotics[#item_full_content]

CEO Sam Altman will return to the board of OpenAI, the company said on Friday, just months after a boardroom dustup that saw him fired and rehired by the company behind ChatGPT.CEO Sam Altman will return to the board of OpenAI, the company said on Friday, just months after a boardroom dustup that saw him fired and rehired by the company behind ChatGPT.Machine learning & AI[#item_full_content]

Italy’s data protection watchdog said Friday it has launched an investigation into Sora, a new artificial intelligence (AI) tool made by US firm OpenAI.Italy’s data protection watchdog said Friday it has launched an investigation into Sora, a new artificial intelligence (AI) tool made by US firm OpenAI.Machine learning & AI[#item_full_content]

When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training—such as the laws of physics—could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training—such as the laws of physics—could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.Machine learning & AI[#item_full_content]

Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our car from the side.Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our car from the side.Machine learning & AI[#item_full_content]

A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.Computer Sciences[#item_full_content]

A small team of AI researchers from the Allen Institute for AI, Stanford University and the University of Chicago, all in the U.S., has found that dozens of popular large language models continue to use racist stereotypes even after they have been given anti-racism training. The group has published a paper on the arXiv preprint server describing their experiments with chatbots such as OpenAI’s GPT-4 and GPT-3.5.A small team of AI researchers from the Allen Institute for AI, Stanford University and the University of Chicago, all in the U.S., has found that dozens of popular large language models continue to use racist stereotypes even after they have been given anti-racism training. The group has published a paper on the arXiv preprint server describing their experiments with chatbots such as OpenAI’s GPT-4 and GPT-3.5.Machine learning & AI[#item_full_content]