Amid the skyrocketing popularity of large language models (LLMs), researchers at Lawrence Livermore National Laboratory are taking a closer look at how these artificial intelligence (AI) systems perform under measurable scrutiny.Amid the skyrocketing popularity of large language models (LLMs), researchers at Lawrence Livermore National Laboratory are taking a closer look at how these artificial intelligence (AI) systems perform under measurable scrutiny.Machine learning & AI[#item_full_content]
Be careful what you tell a chatbot. Your conversation might be used to improve the artificial intelligence system that it’s built on.Be careful what you tell a chatbot. Your conversation might be used to improve the artificial intelligence system that it’s built on.Machine learning & AI[#item_full_content]
A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account for human carelessness improved safety by about a maximum of 80% and efficiency by about a maximum of 38% compared to existing methods.A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account for human carelessness improved safety by about a maximum of 80% and efficiency by about a maximum of 38% compared to existing methods.[#item_full_content]
A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account for human carelessness improved safety by about a maximum of 80% and efficiency by about a maximum of 38% compared to existing methods.A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account for human carelessness improved safety by about a maximum of 80% and efficiency by about a maximum of 38% compared to existing methods.[#item_full_content]
Announcing judges for the Startup Battlefield at TechCrunch Disrupt 2024
The Startup Battlefield is one of the highlights of Disrupt, and we can’t wait to see which of the thousands of applicants will be selected to pitch to panels of top-tier VCs at TechCrunch Disrupt 2024, taking place on October 28–30 in San Francisco. It’s always epic, and every contender is on the road to making a […]
© 2024 TechCrunch. All rights reserved. For personal use only.
The Startup Battlefield is one of the highlights of Disrupt, and we can’t wait to see which of the thousands of applicants will be selected to pitch to panels of top-tier VCs at TechCrunch Disrupt 2024, taking place on October 28–30 in San Francisco. It’s always epic, and every contender is on the road to making a
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
From Lauri Moore to Vic Singh, venture capitalists continue to play musical chairs
When Keith Rabois announced he was leaving Founders Fund to return to Khosla Ventures in January, it came as a shock to many in the venture capital ecosystem — and not just because Rabois is a big name in the industry. It was surprising because unlike in many other fields, venture capitalists don’t traditionally move […]
© 2024 TechCrunch. All rights reserved. For personal use only.
When Keith Rabois announced he was leaving Founders Fund to return to Khosla Ventures in January, it came as a shock to many in the venture capital ecosystem — and not just because Rabois is a big name in the industry. It was surprising because unlike in many other fields, venture capitalists don’t traditionally move
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
A team of AI researchers at Sakana AI, in Japan, working with colleagues from the University of Oxford and the University of British Columbia, has developed an AI system that can conduct scientific research autonomously.A team of AI researchers at Sakana AI, in Japan, working with colleagues from the University of Oxford and the University of British Columbia, has developed an AI system that can conduct scientific research autonomously.[#item_full_content]
A team of AI researchers at Sakana AI, in Japan, working with colleagues from the University of Oxford and the University of British Columbia, has developed an AI system that can conduct scientific research autonomously.A team of AI researchers at Sakana AI, in Japan, working with colleagues from the University of Oxford and the University of British Columbia, has developed an AI system that can conduct scientific research autonomously.Computer Sciences[#item_full_content]
CodeRabbit raises $16M to bring AI to code reviews
Code reviews — peer reviews of code that help devs improve code quality — are time-consuming. According to one source, 50% of companies spend two to five hours a week on them. Without enough people, code reviews can be overwhelming and take devs away from other important work. Harjot Gill thinks that code reviews can be […]
© 2024 TechCrunch. All rights reserved. For personal use only.
Code reviews — peer reviews of code that help devs improve code quality — are time-consuming. According to one source, 50% of companies spend two to five hours a week on them. Without enough people, code reviews can be overwhelming and take devs away from other important work. Harjot Gill thinks that code reviews can be
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
Despite the vast amounts of human mobility data generated by smartphones, a lack of standardized formats, protocols, and privacy-protected open-source datasets hampers innovation across various sectors, including city planning, transportation design, public health, emergency response, and economic research. The absence of established benchmarks further complicates efforts to evaluate progress and share best practices.Despite the vast amounts of human mobility data generated by smartphones, a lack of standardized formats, protocols, and privacy-protected open-source datasets hampers innovation across various sectors, including city planning, transportation design, public health, emergency response, and economic research. The absence of established benchmarks further complicates efforts to evaluate progress and share best practices.[#item_full_content]
