Chipmaker Nvidia will invest $100 billion in OpenAI as part of a partnership announced Monday that will add at least 10 gigawatts of Nvidia AI data centers to ramp up the computing power for the owner of the artificial intelligence chatbot ChatGPT.Chipmaker Nvidia will invest $100 billion in OpenAI as part of a partnership announced Monday that will add at least 10 gigawatts of Nvidia AI data centers to ramp up the computing power for the owner of the artificial intelligence chatbot ChatGPT.Business[#item_full_content]

It is a sad fact of online life that users search for information about suicide. In the earliest days of the internet, bulletin boards featured suicide discussion groups. To this day, Google hosts archives of these groups, as do other services.It is a sad fact of online life that users search for information about suicide. In the earliest days of the internet, bulletin boards featured suicide discussion groups. To this day, Google hosts archives of these groups, as do other services.Business[#item_full_content]

Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions—but what if researchers don’t have enough of the right type of data?Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions—but what if researchers don’t have enough of the right type of data?Engineering[#item_full_content]

In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to preserve life and aid recovery efforts. With the rapid development of AI, unmanned aerial vehicles (UAVs) and satellite imagery, initial efforts have already been made to apply AI to disaster situations, giving quick insights to response teams and autonomously making decisions on relief operations. But while AI may speed up processes, there is a risk that errors or bias could have severe consequences.In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to preserve life and aid recovery efforts. With the rapid development of AI, unmanned aerial vehicles (UAVs) and satellite imagery, initial efforts have already been made to apply AI to disaster situations, giving quick insights to response teams and autonomously making decisions on relief operations. But while AI may speed up processes, there is a risk that errors or bias could have severe consequences.Engineering[#item_full_content]

To prevent crowd crush incidents like the Itaewon tragedy, it’s crucial to go beyond simply counting people and to instead have a technology that can detect the real-inflow and movement patterns of crowds. A KAIST research team has successfully developed new AI crowd prediction technology that can be used not only for managing large-scale events and mitigating urban traffic congestion, but also for responding to infectious disease outbreaks.To prevent crowd crush incidents like the Itaewon tragedy, it’s crucial to go beyond simply counting people and to instead have a technology that can detect the real-inflow and movement patterns of crowds. A KAIST research team has successfully developed new AI crowd prediction technology that can be used not only for managing large-scale events and mitigating urban traffic congestion, but also for responding to infectious disease outbreaks.Hi Tech & Innovation[#item_full_content]

Last week, Albania announced that an AI-generated minister would take charge of a new public tenders portfolio.Last week, Albania announced that an AI-generated minister would take charge of a new public tenders portfolio.Machine learning & AI[#item_full_content]