This new technology will give doctors a closer look. Introducing Pillbot: a tiny disposable robot that you swallow to let doctors see inside your body. In a live demo on the TED Talk stage, creators Alex Luekbe and Vivek Kumbhari show how this pill-sized device navigates the inside of your stomach with a camera, giving a direct view of the entire organ — without the discomfort of invasive procedures — paving the way for further exploration of the human body. “Inside each and every one of us holds mysteries and wonders that if unlocked, lead to better health, performance and longevity,” says Luebke. Visit the link in bio to watch the full talk.’
Advancements in the field of robotics are fueled by research, which in turn heavily relies on effective platforms to test algorithms for robot control and navigation. While numerous robotics platforms have been developed over the past decades, most of them have shortcomings that limit their use in research settings.
Researchers at the University of California (UC) Berkeley recently developed Berkeley Humanoid, a new robotic platform that could be used to train and test algorithms for the control of humanoid robots. This new humanoid robot, introduced in a paper posted to the preprint server arXiv, addresses and overcomes some of the limitations of previously introduced robotics research platforms.
“Having conducted several experiments with commercially available robots, we have become aware of some of their weaknesses,” Qiayuan Liao, co-author of the paper, told Tech Xplore. “For instance, some robot hardware is very expensive, while other hardware is not designed especially for learning-based control or for research, which often means that it is ‘fragile,’ easy to break, and hard to maintain and repair.”
We present GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality. GameNGen can interactively simulate the classic game DOOM at over 20 frames per second on a single TPU. Next frame prediction achieves a PSNR of 29.4, comparable to lossy JPEG compression. Human raters are only slightly better than random chance at distinguishing short clips of the game from clips of the simulation. GameNGen is trained in two phases: an RL-agent learns to play the game and the training sessions are recorded, and a diffusion model is trained to produce the next frame, conditioned on the sequence of past frames and actions. Conditioning augmentations enable stable auto-regressive generation over long trajectories.
The cost effectiveness of bots is key to the magnitude of impact of the Economic Singularity. Watch this cheap bot as companies find profitable use cases and unemployment rises.
Unitree unveiled a new video of its G1 robot performing acrobatic feats, as part of its lead up to production.
Cerebras has set a new record for AI inference speed, serving Llama 3.1 8B at 1,850 output tokens/s and 70B at 446 output tokens/s.
@CerebrasSystems has just launched their API inference offering, powered by their custom wafer-scale AI accelerator chips.
Llama 3.1 8B provider analysis:
Analysis of API for Llama 3.1 Instruct 8B across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API benchmarked include Microsoft Azure, Amazon Bedrock, Groq, Together.ai, Perplexity, Fireworks, Cerebras, Lepton AI, Deepinfra, and OctoAI.
What does the future hold? What will become of this planet and its inhabitants in the centuries to come? We are living in a historical period that sometimes feels like the prelude to something truly remarkable or terribly dire about to unfold. This captivating video seeks to decipher the signs and attempt to construct plausible scenarios from the nearly nothing we hold in our hands today. As always, it will be scientific discoveries leading the dance of change, while philosophers, writers, politicians, and all the others will have the seemingly trivial task of containing, describing, and guiding. Before embarking on our journey through time, let me state the obvious: No one knows the future! Numerous micro and macro factors could alter this trajectory—world wars, pandemics, unimaginable social shifts, or climate disasters. Nevertheless, we’re setting off. And we’re doing so by discussing the remaining decades of the century we’re experiencing right now.
- DISCUSSIONS \& SOCIAL MEDIA
Commercial Purposes: [email protected]. Tik Tok: / insanecuriosity. Reddit: / insanecuriosity. Instagram: / insanecuriositythereal. Twitter: / insanecurio. Facebook: / insanecuriosity. Linkedin: / insane-curiosity-46b928277 Our Website: https://insanecuriosity.com/ – Credits: Ron Miller, Mark A. Garlick / MarkGarlick.com, Elon Musk/SpaceX/ Flickr. – 00:00 Intro. 01:20 Artificial Intelligence. 02:40 2030 The ELT telescope. 03:20 2031 The International Space Station is deorbited. 04:05 2035 The cons. 04:45 2036 Humans landed on mars. 05:05 2037. The global population reaches 9 billion. 05:57 2038 2038. Airplane accident casualties = 0 06:20 Fusion power is nearing commercial availability. 07:01 2042 Supercomputers. 07:30 2045 turning point for human-artificial intelligence interactions. 08:58 2051 Establishment of the first permanent lunar base. 09:25 2067 The first generation of antimatter-powered spacecraft emerging. 10:07 2080 Autonomous vehicles dominate the streets. 10:35 2090 Religion is fading from European culture. 10:55 2099 Consideration of Mars terraforming. 11:28 22nd century Moon and Mars Settlements. 12:10 2,130 transhumanism. 12:41 2,132 world records are shattered. 12:57 2,137 a space elevator. 14:32 2,170 By this year, there are dozens of human settlements on the Moon. 15:18 2180 16:18 23rd century Immortality. 16:49 2,230 Hi-Tech and Automated Cities. 17:23 2,310 23rd Century: Virtual Reality and Immortality. 18:01 2,320 antimatter-powered propulsion. 18:40 2,500 Terraforming Mars Abandoned. 19:05 2,600 Plastic Cleanup. 19:25 2,800 Silent Probes. 19:37 3,100 Humanity as a Type 2 Civilization. – #insanecuriosity #timelapseofthefuture #futuretime
Summary: Researchers developed a brain-inspired AI technique using neural networks to model the challenging quantum states of molecules, crucial for technologies like solar panels and photocatalyst.
This new approach significantly improves accuracy, enabling better prediction of molecular behaviors during energy transitions. By enhancing our understanding of molecular excited states, this research could revolutionize material prototyping and chemical synthesis.
Discover how NGate, a new Android malware, steals contactless payment data using NFC relay attacks. Learn about the latest cybersecurity threat target.
