Final hours to apply: Be the life of TechCrunch Disrupt 2025 by hosting your own Side Event

Today is your last chance to host a Side Event at TechCrunch Disrupt 2025 in San Francisco. By tonight, applications close. No extensions. No late entries. Apply now.Today is your last chance to host a Side Event at TechCrunch Disrupt 2025 in San Francisco. By tonight, applications close. No extensions. No late entries. Apply now.[#item_full_content]

Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from a set of two-dimensional (2D) images, captured from different angles. It works by training a deep neural network to predict the color and density at any point in 3D space.Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from a set of two-dimensional (2D) images, captured from different angles. It works by training a deep neural network to predict the color and density at any point in 3D space.Hi Tech & Innovation[#item_full_content]

Meet the latest VC judges joining Startup Battlefield 200 at TechCrunch Disrupt 2025 

Twenty founders will pitch their companies on the Disrupt Stage, but only one will walk away with the $100,000 equity-free prize and the coveted Disrupt Cup.Twenty founders will pitch their companies on the Disrupt Stage, but only one will walk away with the $100,000 equity-free prize and the coveted Disrupt Cup.[#item_full_content]

One week left: Lock in discounted pricing for TechCrunch Disrupt 2025

We are in the final week to lock in your TechCrunch Disrupt 2025 pass and save up to $668. Join one of the biggest tech gatherings of the year — commit now before prices rise on September 27.We are in the final week to lock in your TechCrunch Disrupt 2025 pass and save up to $668. Join one of the biggest tech gatherings of the year — commit now before prices rise on September 27.[#item_full_content]

Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”Robotics[#item_full_content]

Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”[#item_full_content]

The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.Electronics & Semiconductors[#item_full_content]

Teenagers chatting with ChatGPT will soon see a very different version of the tool—one built with stricter ways to keep them safe online, OpenAI announced.Teenagers chatting with ChatGPT will soon see a very different version of the tool—one built with stricter ways to keep them safe online, OpenAI announced.Security[#item_full_content]

A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the fabrication of advanced materials. The platform, called AutoBot, uses machine learning algorithms to direct robotic devices to rapidly synthesize and characterize materials. The algorithms automatically refine the experiments based on analysis of the characterization results.A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the fabrication of advanced materials. The platform, called AutoBot, uses machine learning algorithms to direct robotic devices to rapidly synthesize and characterize materials. The algorithms automatically refine the experiments based on analysis of the characterization results.Energy & Green Tech[#item_full_content]

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