Celebrities are all too familiar with the world of deepfakes, the colloquial term for artificial-intelligence-generated videos that depict actors and other Hollywood talent falsely doing or saying things that they never agreed to.Celebrities are all too familiar with the world of deepfakes, the colloquial term for artificial-intelligence-generated videos that depict actors and other Hollywood talent falsely doing or saying things that they never agreed to.Business[#item_full_content]
Rivian spinoff Also raises another $200M to build e-bikes and more
Also, the micromobility startup that spun out of Rivian this year, was raised $200 million from Greenoaks Capital.Also, the micromobility startup that spun out of Rivian this year, was raised $200 million from Greenoaks Capital.[#item_full_content]
LangChain is about to become a unicorn, sources say
AI infrastructure startup LangChain is raising a new round at about $1 billion valuation led by IVP.AI infrastructure startup LangChain is raising a new round at about $1 billion valuation led by IVP.[#item_full_content]
ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users’ prompts. Color metaphors like “feeling blue” and “seeing red” are commonplace throughout the English language, and therefore comprise part of the dataset on which ChatGPT is trained.ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users’ prompts. Color metaphors like “feeling blue” and “seeing red” are commonplace throughout the English language, and therefore comprise part of the dataset on which ChatGPT is trained.Computer Sciences[#item_full_content]
ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users’ prompts. Color metaphors like “feeling blue” and “seeing red” are commonplace throughout the English language, and therefore comprise part of the dataset on which ChatGPT is trained.ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users’ prompts. Color metaphors like “feeling blue” and “seeing red” are commonplace throughout the English language, and therefore comprise part of the dataset on which ChatGPT is trained.[#item_full_content]
Quantum computers have operated under a significant limitation: They can run only one program at a time. These million-dollar machines demand exclusive use even for the smallest tasks, leaving much of their expensive and fast-running hardware idle and forcing researchers to endure long lines.Quantum computers have operated under a significant limitation: They can run only one program at a time. These million-dollar machines demand exclusive use even for the smallest tasks, leaving much of their expensive and fast-running hardware idle and forcing researchers to endure long lines.[#item_full_content]
An indie rock band with more than a million monthly listeners on Spotify has owned up to being an AI-generated music project following days of speculation about whether the group was real.An indie rock band with more than a million monthly listeners on Spotify has owned up to being an AI-generated music project following days of speculation about whether the group was real.Business[#item_full_content]
Maxim Van de Wynckel, a researcher at the WISE lab of the Vrije Universiteit Brussel (VUB), successfully defended his Ph.D. in computer science on 30 June 2025. Over six years, he explored a major challenge facing many modern technologies: How can indoor positioning systems—which determine the location of people or objects inside buildings—work better together?Maxim Van de Wynckel, a researcher at the WISE lab of the Vrije Universiteit Brussel (VUB), successfully defended his Ph.D. in computer science on 30 June 2025. Over six years, he explored a major challenge facing many modern technologies: How can indoor positioning systems—which determine the location of people or objects inside buildings—work better together?[#item_full_content]
For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.Computer Sciences[#item_full_content]
For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.[#item_full_content]
