Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the rationality of their human opponents—whether first-year undergraduate students or experienced scientists—in strategic thinking games, such as the Keynesian beauty contest. While these models attempt to predict human behavior, they often end up playing “too smart” and losing because they assume a higher level of logic in people than is actually present.Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the rationality of their human opponents—whether first-year undergraduate students or experienced scientists—in strategic thinking games, such as the Keynesian beauty contest. While these models attempt to predict human behavior, they often end up playing “too smart” and losing because they assume a higher level of logic in people than is actually present.Business[#item_full_content]

Robots are becoming part of our everyday lives, from health care to home assistance. But for humans to truly trust and collaborate with them, robots need more than technical skill—they need to understand us.Robots are becoming part of our everyday lives, from health care to home assistance. But for humans to truly trust and collaborate with them, robots need more than technical skill—they need to understand us.Robotics[#item_full_content]

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.Computer Sciences[#item_full_content]

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource requirements for examining and adjusting their behavior.Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource requirements for examining and adjusting their behavior.Software[#item_full_content]

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of these environments lack natural or artificial light, making it difficult for robotic systems, which usually rely on cameras and vision algorithms, to operate effectively.From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of these environments lack natural or artificial light, making it difficult for robotic systems, which usually rely on cameras and vision algorithms, to operate effectively.Robotics[#item_full_content]

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce identical items. However, even slight changes in conditions can lead to defects, so the process has long relied on the intuition of highly skilled workers.Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce identical items. However, even slight changes in conditions can lead to defects, so the process has long relied on the intuition of highly skilled workers.Engineering[#item_full_content]

As generative AI systems become more deeply woven into the fabric of modern life—drafting text, generating images, summarizing news—debates over who should profit from the technology are intensifying.As generative AI systems become more deeply woven into the fabric of modern life—drafting text, generating images, summarizing news—debates over who should profit from the technology are intensifying.Business[#item_full_content]

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make these connections—an advance that could improve robotics, navigation systems, and 3D modeling.For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make these connections—an advance that could improve robotics, navigation systems, and 3D modeling.Computer Sciences[#item_full_content]

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.Computer Sciences[#item_full_content]

Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient than NVIDIA chips, the leading supplier of AI chips worldwide. Instead of using electricity to move information, this new optical chip relies on light to perform complex generative tasks.Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient than NVIDIA chips, the leading supplier of AI chips worldwide. Instead of using electricity to move information, this new optical chip relies on light to perform complex generative tasks.Hardware[#item_full_content]