Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the simplest math problems.Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the simplest math problems.Computer Sciences[#item_full_content]
Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.Robotics[#item_full_content]
Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.[#item_full_content]
Lovable becomes a unicorn with $200M Series A just 8 months after launch
Only eight months after its launch, Sweden’s Lovable has raised a $200 million Series A round led by Accel at a $1.8 billion valuation.Only eight months after its launch, Sweden’s Lovable has raised a $200 million Series A round led by Accel at a $1.8 billion valuation.[#item_full_content]
While roboticists have introduced increasingly advanced systems over the past decades, most existing robots are not yet able to manipulate objects with the same dexterity and sensing ability as humans. This, in turn, adversely impacts their performance in various real-world tasks, ranging from household chores to the clearing of rubble after natural disasters and the assembly or performing maintenance tasks, particularly in high-temperature working environments such as steel mills and foundries, where elevated temperatures can significantly degrade performance and compromise the precision required for safe operations.While roboticists have introduced increasingly advanced systems over the past decades, most existing robots are not yet able to manipulate objects with the same dexterity and sensing ability as humans. This, in turn, adversely impacts their performance in various real-world tasks, ranging from household chores to the clearing of rubble after natural disasters and the assembly or performing maintenance tasks, particularly in high-temperature working environments such as steel mills and foundries, where elevated temperatures can significantly degrade performance and compromise the precision required for safe operations.[#item_full_content]
Scale AI lays off 14% of staff, largely in data-labeling business
Scale AI is cutting 14% of the company just weeks after Meta invested $14.3 billion in the startup and hired away its CEO.Scale AI is cutting 14% of the company just weeks after Meta invested $14.3 billion in the startup and hired away its CEO.[#item_full_content]
A cheetah’s powerful sprint, a snake’s lithe slither, or a human’s deft grasp: Each is made possible by the seamless interplay between soft and rigid tissues. Muscles, tendons, ligaments, and bones work together to provide the energy, precision, and range of motion needed to perform the complex movements seen throughout the animal kingdom.A cheetah’s powerful sprint, a snake’s lithe slither, or a human’s deft grasp: Each is made possible by the seamless interplay between soft and rigid tissues. Muscles, tendons, ligaments, and bones work together to provide the energy, precision, and range of motion needed to perform the complex movements seen throughout the animal kingdom.[#item_full_content]
Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Robotics[#item_full_content]
Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.[#item_full_content]
Just as people from different countries speak different languages, AI models also create various internal “languages”—a unique set of tokens understood only by each model. Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance.Just as people from different countries speak different languages, AI models also create various internal “languages”—a unique set of tokens understood only by each model. Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance.Machine learning & AI[#item_full_content]
