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... 8:1
Nvidia unveils Star Wars-inspired AI robot ‘Blue’, partners with Google, Disney to make sci-fi droid

The Economic Times

1+ months ago 2K views

The session announces a partnership among DeepMind, Disney Research, and Nvidia to launch Newton, a physics engine designed specifically for training robots with reinforcement learning. Newton emphasizes GPU acceleration and real-time simulations, enabling the training of robotics through physically verifiable rewards disconnected from traditional physics engines primarily built for machinery and gaming. The advanced features of the engine support fine motor skills, tactile feedback, and intricate actuator controls, fostering rapid AI model training and sophisticated robot capabilities. Additionally, the open-sourcing of Groot N1 is presented alongside significant advancements in AI infrastructure.
05:05 - 05:13

Real-time simulation capabilities significantly enhance robotics training effectiveness.

Nvidia Robotics Tech & Hardware
... 9:39
NIO STOCK MASSIVE NEWS🚀 NIO AI Changes Everything⭐️

Mr. P - NIO Videos

1+ months ago 6K views

Neo AI introduces groundbreaking advancements with Neo World Model (NWM), harnessing high computing power to simulate real-world scenarios for autonomous driving. This AI-driven system generates 26 different scenarios in just 0.1 seconds, enhancing decision-making capabilities of vehicles. Concurrently, Adaptus Therapeutics revolutionizes cancer treatment using non-pathogenic bacteria to stimulate immune responses effectively, currently progressing through Phase 1 trials with promising data. The speaker emphasizes the transformative potential of both technologies and urges listeners to watch closely as these innovations could reshape their respective fields.
09:16 - 09:23

NWM enhances autonomous driving by considering a myriad of unpredictable scenarios.

Nio Autonomous vehicles Finance
... 14:23
𝗨𝗦𝗔 𝟮𝟬𝟮𝟱 👉 AI Made From HUMAN BLOOD Miry Clay Cleaved To Iron - #2025 #RFB

Richie From Boston - FanPage

1+ months ago 3K views

The CL1 computer represents a breakthrough in AI, merging biological neurons from human stem cells with silicon technology to create a new form of synthetic biological intelligence. This innovative system learns rapidly and adapts more effectively than traditional silicon-based AI while consuming less energy. The technology could transform drug testing and personalized medicine by utilizing patient-derived neurons. However, the development raises ethical concerns regarding its source of biological material and its ramifications for society and human health.
03:53 - 04:05

Prediction of the CL1's impact on drug discovery and overall medical advancements.

Melbourne start-up AI hardware Research & Innovations
... 11:5
Huge News: The First AI that Runs on Human Brain Cells is Finally Here!

AI Uncovered

1+ months ago 17K views

The CL1 biocomputer, developed by Cortical Labs, represents a significant advancement in artificial intelligence by integrating human brain cells with silicon hardware. Unlike traditional AI, the CL1 can learn and adapt more rapidly while consuming less energy. This biological computer is designed to simulate heuristic processing similar to a real brain, and its potential applications span medical research, substance discovery, and robotics. The CL1 aims to reduce the need for complex hardware and software, making synthetic biological intelligence more accessible to researchers and innovators. This groundbreaking technology will be available in late 2025.
03:03 - 03:06

CL1 technology could transform substance discovery and clinical testing.

AI hardware Research & Innovations
... 12:13
End Times: This New AI Tech Fulfills Bible Prophecy

End Times Productions

1+ months ago 33K views

The CL1 computer, created by Cortical Labs in Australia, utilizes living human brain cells embedded in a silicon chip to process information, marking a significant step in biological computing. Priced at $35,000, it requires life support systems to maintain the neurons and promises advancements in AI and machine learning. The implications of such technology raise ethical concerns, suggesting a fusion of technology and biology, and prompting discussions regarding potential control by malevolent entities or unintended consequences. This innovation may redefine the future of AI applications, including personalized medicine and advanced robotics.
04:12 - 04:30

Biological computers could improve AI efficiency, especially in unpredictable environments.

AI hardware Research & Innovations
... 12:42
They Did It: Meta Just Announced an AI That Reads Thoughts—The World Will Never Be the Same!

AI Uncovered

1+ months ago 5K views

Researchers have developed an AI system capable of translating brain scans into text, providing groundbreaking advancements in neurotechnology. The system, called 'brain 2 qwerty,' utilizes brain activity maps captured through EEG or MEG to decode sentences that individuals think while typing. This non-invasive approach promises to aid those with neurological impairments, allowing communication through brain signals. Significant performance improvements have outstripped traditional methods, showcasing the technology’s potential for broader applications in medicine and enhancing quality of life for individuals unable to communicate through conventional means.
02:11 - 02:27

Brain 2 Qwerty demonstrates a 32% character error rate, outperforming EEG methods.

Meta Neural Network Architectures Research & Innovations
... 56:9
Move Aside DeepSeek, Here’s Liquid AI, a $2B LLM Startup from MIT, Inspired by Worms | Agentic EP 10

George Bandarian

1+ months ago 3K views

Liquid AI specializes in developing liquid neural networks for safety-critical applications, expanding beyond robotics to finance and healthcare. The technology allows AI systems to run efficiently on edge devices without needing constant internet connectivity, opening new markets. Founders Ramin Hassani, Alexander Amini, and Daniela Rus emphasized the importance of technical expertise and a strong business understanding for success in AI. Their approach addresses existing limitations in AI systems, emphasizing efficiency, privacy, and real-world applications, aiming to bring advanced AI capabilities directly into users' hands.
06:30 - 07:23

Founders share insights on forming an effective AI partnership.

Liquid AI Natural Language Processing (NLP) AI Startups
... 56:9
Move Aside DeepSeek, Here’s Liquid AI, a $2B LLM Startup from MIT, Inspired by Worms | Agentic EP 10

George Bandarian

1+ months ago 3K views

Liquid AI specializes in developing liquid neural networks for safety-critical applications, expanding beyond robotics to finance and healthcare. The technology allows AI systems to run efficiently on edge devices without needing constant internet connectivity, opening new markets. Founders Ramin Hassani, Alexander Amini, and Daniela Rus emphasized the importance of technical expertise and a strong business understanding for success in AI. Their approach addresses existing limitations in AI systems, emphasizing efficiency, privacy, and real-world applications, aiming to bring advanced AI capabilities directly into users' hands.
06:30 - 07:23

Founders share insights on forming an effective AI partnership.

Liquid AI Natural Language Processing (NLP) AI Startups