The votes are in: TechCrunch Disrupt 2025 Audience Choice winners revealed for roundtables and breakouts
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The votes are in: TechCrunch Disrupt 2025 Audience Choice winners revealed for roundtables and breakouts

You voted — they made it onto the TechCrunch Disrupt 2025 agenda! After reviewing hundreds of standout Call for Content submissions and opening the vote to the TechCrunch audience, we’ve locked in the top five roundtables and top five breakout sessions. Without further ado, meet the exceptional tech voices — and the sessions they’ll lead […]You voted — they made it onto the TechCrunch Disrupt 2025 agenda! After reviewing hundreds of standout Call for Content submissions and opening the vote to the TechCrunch audience, we’ve locked in the top five roundtables and top five breakout sessions. Without further ado, meet the exceptional tech voices — and the sessions they’ll lead[#item_full_content]

Mexican voice actors demand regulation on AI voice cloning
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Mexican actors protested the growing threat artificial intelligence poses to their industry, calling on Sunday for better regulations to prevent voice cloning without consent.Mexican actors protested the growing threat artificial intelligence poses to their industry, calling on Sunday for better regulations to prevent voice cloning without consent.Business[#item_full_content]

Pancaked water droplets help launch Europe’s fastest supercomputeron July 14, 2025 at 9:30 am
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JUPITER became the world’s fourth fastest supercomputer when it debuted last month. Though housed in Germany at the Jülich Supercomputing Center (JSC), Georgia Tech played a supporting role in helping the system land on the latest TOP500 list.JUPITER became the world’s fourth fastest supercomputer when it debuted last month. Though housed in Germany at the Jülich Supercomputing Center (JSC), Georgia Tech played a supporting role in helping the system land on the latest TOP500 list.[#item_full_content]

Tomorrow: TechCrunch All Stage launches in Boston — and ticket prices rise
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Tomorrow: TechCrunch All Stage launches in Boston — and ticket prices rise

TechCrunch All Stage officially kicks off tomorrow at 7:30 a.m. ET at SoWa Power Station in Boston — and that’s when ticket prices jump to full rate. This isn’t just another founder event. It’s the summit built to help startups fundraise smarter, scale faster, and lead with impact. Whether you’re tightening your pitch, planning a […]TechCrunch All Stage officially kicks off tomorrow at 7:30 a.m. ET at SoWa Power Station in Boston — and that’s when ticket prices jump to full rate. This isn’t just another founder event. It’s the summit built to help startups fundraise smarter, scale faster, and lead with impact. Whether you’re tightening your pitch, planning a[#item_full_content]

What a folding ruler can tell us about neural networkson July 14, 2025 at 9:20 am
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Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network’s artificial neurons are optimized in such a way that they can carry out specific tasks, such as autonomously discovering objects or characteristic features in images.Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network’s artificial neurons are optimized in such a way that they can carry out specific tasks, such as autonomously discovering objects or characteristic features in images.[#item_full_content]

What a folding ruler can tell us about neural networks
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Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network’s artificial neurons are optimized in such a way that they can carry out specific tasks, such as autonomously discovering objects or characteristic features in images.Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network’s artificial neurons are optimized in such a way that they can carry out specific tasks, such as autonomously discovering objects or characteristic features in images.Computer Sciences[#item_full_content]

New simulation system generates thousands of training examples for robotic hands and arms
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When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much information it relies on to give that reply. Like other popular generative artificial intelligence (AI) models, these chatbots rely on backbone systems called foundation models that train on billions, or even trillions, of data points.When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much information it relies on to give that reply. Like other popular generative artificial intelligence (AI) models, these chatbots rely on backbone systems called foundation models that train on billions, or even trillions, of data points.[#item_full_content]

NVIDIA’s new AI tool enables precise editing of 3D scenes and photorealistic imageson July 14, 2025 at 6:30 am
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Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.[#item_full_content]

NVIDIA’s new AI tool enables precise editing of 3D scenes and photorealistic images
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Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.Computer Sciences[#item_full_content]

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