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]
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.Computer Sciences[#item_full_content]
Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking. In response, a research team has developed a new technology that enables high-performance and efficient inference for planning based on diffusion models.Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking. In response, a research team has developed a new technology that enables high-performance and efficient inference for planning based on diffusion models.[#item_full_content]
Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, including filming videos for various purposes, monitoring crops or other environments from above, assessing disaster zones, and conducting military operations. Despite their widespread use, most existing drones either need to be fully or partly operated by human agents.Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, including filming videos for various purposes, monitoring crops or other environments from above, assessing disaster zones, and conducting military operations. Despite their widespread use, most existing drones either need to be fully or partly operated by human agents.[#item_full_content]
