Nvidia is on the cusp of investing $30 billion in OpenAI, scaling back a plan to pump $100 billion into the ChatGPT maker, the Financial Times reported Thursday.Nvidia is on the cusp of investing $30 billion in OpenAI, scaling back a plan to pump $100 billion into the ChatGPT maker, the Financial Times reported Thursday.Business[#item_full_content]
Fledgling Indian artificial intelligence companies showcased homegrown technologies this week at a major summit in New Delhi, underpinning big dreams of becoming a global AI power.Fledgling Indian artificial intelligence companies showcased homegrown technologies this week at a major summit in New Delhi, underpinning big dreams of becoming a global AI power.Machine learning & AI[#item_full_content]
Many people use AI chatbots to plan meals and write emails, AI-enhanced web browsers to book travel and buy tickets, and workplace AI to generate invoices and performance reports. However, a new study of the “AI agent ecosystem” suggests that as these AI bots rapidly become part of everyday life, basic safety disclosure is “dangerously lagging.”Many people use AI chatbots to plan meals and write emails, AI-enhanced web browsers to book travel and buy tickets, and workplace AI to generate invoices and performance reports. However, a new study of the “AI agent ecosystem” suggests that as these AI bots rapidly become part of everyday life, basic safety disclosure is “dangerously lagging.”Consumer & Gadgets[#item_full_content]
Stanford d.school’s Jeremy Utley wants people to stop using AI. Instead, he wants them to work with it. “If you’re ‘using’ AI, I know you’re misusing it,” said Utley, an adjunct professor at the Hasso Plattner Institute of Design (aka the “d.school”). Utley argues that people fall into two categories when it comes to AI: underperformers who treat it like a tool and outperformers who treat it like a teammate.Stanford d.school’s Jeremy Utley wants people to stop using AI. Instead, he wants them to work with it. “If you’re ‘using’ AI, I know you’re misusing it,” said Utley, an adjunct professor at the Hasso Plattner Institute of Design (aka the “d.school”). Utley argues that people fall into two categories when it comes to AI: underperformers who treat it like a tool and outperformers who treat it like a teammate.Machine learning & AI[#item_full_content]
Alphabet Inc.’s Google and Apple Inc. are adding music-focused generative artificial intelligence features to their core consumer apps, underscoring how advanced AI tools are moving into mainstream use.Alphabet Inc.’s Google and Apple Inc. are adding music-focused generative artificial intelligence features to their core consumer apps, underscoring how advanced AI tools are moving into mainstream use.Business[#item_full_content]
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, and less computationally expensive training of LLMs. But it also exposes potential vulnerabilities.A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, and less computationally expensive training of LLMs. But it also exposes potential vulnerabilities.[#item_full_content]
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, and less computationally expensive training of LLMs. But it also exposes potential vulnerabilities.A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, and less computationally expensive training of LLMs. But it also exposes potential vulnerabilities.Computer Sciences[#item_full_content]
It happens every day—a motorist heading across town checks a navigation app to see how long the trip will take, but they find no parking spots available when they reach their destination. By the time they finally park and walk to their destination, they’re significantly later than they expected to be.It happens every day—a motorist heading across town checks a navigation app to see how long the trip will take, but they find no parking spots available when they reach their destination. By the time they finally park and walk to their destination, they’re significantly later than they expected to be.[#item_full_content]
Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA’s AI research center in Israel have developed a new method that significantly improves how artificial intelligence models understand spatial instructions when generating images—without retraining or modifying the models themselves. Image-generation systems often struggle with simple prompts such as “a cat under the table” or “a chair to the right of the table,” frequently placing objects incorrectly or ignoring spatial relationships altogether. The Bar-Ilan research team has introduced a creative solution that allows AI models to follow such instructions more accurately in real time.Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA’s AI research center in Israel have developed a new method that significantly improves how artificial intelligence models understand spatial instructions when generating images—without retraining or modifying the models themselves. Image-generation systems often struggle with simple prompts such as “a cat under the table” or “a chair to the right of the table,” frequently placing objects incorrectly or ignoring spatial relationships altogether. The Bar-Ilan research team has introduced a creative solution that allows AI models to follow such instructions more accurately in real time.[#item_full_content]
Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA’s AI research center in Israel have developed a new method that significantly improves how artificial intelligence models understand spatial instructions when generating images—without retraining or modifying the models themselves. Image-generation systems often struggle with simple prompts such as “a cat under the table” or “a chair to the right of the table,” frequently placing objects incorrectly or ignoring spatial relationships altogether. The Bar-Ilan research team has introduced a creative solution that allows AI models to follow such instructions more accurately in real time.Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA’s AI research center in Israel have developed a new method that significantly improves how artificial intelligence models understand spatial instructions when generating images—without retraining or modifying the models themselves. Image-generation systems often struggle with simple prompts such as “a cat under the table” or “a chair to the right of the table,” frequently placing objects incorrectly or ignoring spatial relationships altogether. The Bar-Ilan research team has introduced a creative solution that allows AI models to follow such instructions more accurately in real time.Computer Sciences[#item_full_content]
