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]
OpenAI has been temporarily blocked from using the word “Cameo” in a product that allows people to generate videos based on prompts amid a trademark dispute.OpenAI has been temporarily blocked from using the word “Cameo” in a product that allows people to generate videos based on prompts amid a trademark dispute.Business[#item_full_content]
The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has consumed researchers, start-up founders, and tech juggernauts alike.The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has consumed researchers, start-up founders, and tech juggernauts alike.Machine learning & AI[#item_full_content]
Sam Altman, head of ChatGPT maker OpenAI, told a global artificial intelligence conference on Thursday that the world “urgently” needs to regulate the fast-evolving technology.Sam Altman, head of ChatGPT maker OpenAI, told a global artificial intelligence conference on Thursday that the world “urgently” needs to regulate the fast-evolving technology.Machine learning & AI[#item_full_content]
A University of Glasgow-led research project is releasing a free tool to help organizations, policymakers, and the public maximize the benefits of AI applications while identifying their potential harms. The tool, developed as part of the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) project, aims to help address the urgent need for rigorous assessments of AI risks caused by the rapid expansion and adoption of the technology across a wide range of sectors.A University of Glasgow-led research project is releasing a free tool to help organizations, policymakers, and the public maximize the benefits of AI applications while identifying their potential harms. The tool, developed as part of the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) project, aims to help address the urgent need for rigorous assessments of AI risks caused by the rapid expansion and adoption of the technology across a wide range of sectors.Consumer & Gadgets[#item_full_content]
Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and financial market predictions are based on machine learning-driven sequence models. The quality of these applications therefore depends crucially on the type of sequence model used and how such models can be further optimized.Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and financial market predictions are based on machine learning-driven sequence models. The quality of these applications therefore depends crucially on the type of sequence model used and how such models can be further optimized.Machine learning & AI[#item_full_content]
Would you ever kick your Roomba? Or leave a scathing review of the robot at a Thai restaurant who delivered your green curry? What about sending a mean message to ChatGPT?Would you ever kick your Roomba? Or leave a scathing review of the robot at a Thai restaurant who delivered your green curry? What about sending a mean message to ChatGPT?Consumer & Gadgets[#item_full_content]
Self-driving cars have made impressive progress. They can follow lanes, keep their distance, and navigate familiar routes with ease. However, despite years of development, they still struggle with one critical problem: the rare and dangerous situations that cause the most serious accidents.Self-driving cars have made impressive progress. They can follow lanes, keep their distance, and navigate familiar routes with ease. However, despite years of development, they still struggle with one critical problem: the rare and dangerous situations that cause the most serious accidents.Automotive[#item_full_content]
