What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine learning more transparent, accessible, and fair.What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine learning more transparent, accessible, and fair.Computer Sciences[#item_full_content]
Anduril alums raise $24M Series A to bring military logistics out of the Excel spreadsheet era
Rune Technologies raised $24 million to advance deployment of TyrOS, AI-enabled predictive software for military logistics that can run on the ground without internet connection.Rune Technologies raised $24 million to advance deployment of TyrOS, AI-enabled predictive software for military logistics that can run on the ground without internet connection.[#item_full_content]
Figma looks to raise nearly $1 billion as it kicks off its IPO roadshow
Figma looks to offer more than 36 million shares with an expected price range between $25 and $28 a share.Figma looks to offer more than 36 million shares with an expected price range between $25 and $28 a share.[#item_full_content]
Complex tubes with flanges, joints and other components, characterized by a large number of diverse shapes and complex structures, are key parts of aircraft engines, rockets and other equipment. In order to ensure the smooth operation of this equipment, the dimensional accuracy of the tube must be ensured.Complex tubes with flanges, joints and other components, characterized by a large number of diverse shapes and complex structures, are key parts of aircraft engines, rockets and other equipment. In order to ensure the smooth operation of this equipment, the dimensional accuracy of the tube must be ensured.[#item_full_content]
From idea to first check: Raising pre-seed and seed capital with Charles Hudson and Navin Chaddha at TechCrunch Disrupt 2025
More than 10,000 founders, investors, and tech insiders will convene at Moscone West in San Francisco from October 27-29 for TechCrunch Disrupt 2025 — one of the year’s most anticipated tech conferences. Of the 250+ tech leaders taking the stage, don’t miss this standout panel on the Builders Stage featuring two of the most respected […]More than 10,000 founders, investors, and tech insiders will convene at Moscone West in San Francisco from October 27-29 for TechCrunch Disrupt 2025 — one of the year’s most anticipated tech conferences. Of the 250+ tech leaders taking the stage, don’t miss this standout panel on the Builders Stage featuring two of the most respected[#item_full_content]
A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle Design. The approach might overcome many of the longstanding challenges in the development of self-driving navigation.A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle Design. The approach might overcome many of the longstanding challenges in the development of self-driving navigation.Automotive[#item_full_content]
As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with respect to how quickly they can respond to our increasingly intricate prompts requesting answers to ever-challenging problems and tasks.As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with respect to how quickly they can respond to our increasingly intricate prompts requesting answers to ever-challenging problems and tasks.[#item_full_content]
As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with respect to how quickly they can respond to our increasingly intricate prompts requesting answers to ever-challenging problems and tasks.As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with respect to how quickly they can respond to our increasingly intricate prompts requesting answers to ever-challenging problems and tasks.Computer Sciences[#item_full_content]
In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source systems like ChatGPT and Claude currently set the pace. But no one outside their makers knows how those models were trained or what data they used, leaving open-source alternatives scrambling to catch up.In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source systems like ChatGPT and Claude currently set the pace. But no one outside their makers knows how those models were trained or what data they used, leaving open-source alternatives scrambling to catch up.Machine learning & AI[#item_full_content]
Let’s say you’re reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind kept track of how the situation (or “state of the world”) was changing. You can imagine this as a sort of sequence of events list, which we use to update our prediction of what will happen next.Let’s say you’re reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind kept track of how the situation (or “state of the world”) was changing. You can imagine this as a sort of sequence of events list, which we use to update our prediction of what will happen next.[#item_full_content]
