Author: Advanced AI Editor

As robotics has advanced, industry has steadily adopted more robots to automate away many kinds of grunt work. More than 540,000 new industrial robots were installed worldwide in 2023, taking the number of total industrial robots active to above 4 million, per IFR. Industrial robots typically excel at repetitive tasks, but they find it challenging to perform precise tasks, handle delicate materials, and adjust to changing conditions — a robot in a restaurant’s kitchen would get in the way more than be helpful, for example. That is why many industrial processes are still manual. South Korean startup RLWRLD aims to…

#ai #transformer #gpt4 This paper promises to scale transformers to 1 million tokens and beyond. We take a look at the technique behind it: The Recurrent Memory Transformer, and what its strenghts and weaknesses are. OUTLINE: 0:00 – Intro 2:15 – Transformers on long sequences 4:30 – Tasks considered 8:00 – Recurrent Memory Transformer 19:40 – Experiments on scaling and attention maps 24:00 – Conclusion Paper: Abstract: This technical report presents the application of a recurrent memory to extend the context length of BERT, one of the most effective Transformer-based models in natural language processing. By leveraging the Recurrent Memory…

❤️ Check out Weights & Biases and sign up for a free demo here: 📝 The paper “Vertex Block Descent” is available here: Notes from the authors: “The range you mentioned (100x to 1000x) is appropriate. However, please keep in mind that, as we noted in the paper, this figure is specific to the simulation settings we selected. For relatively tame experiments with less stretching and motion, and especially for highly stiff and high-resolution simulations that are much more expensive to simulate, we would expect Newton’s method to eventually overtake all alternatives beyond a certain level of convergence.” Fluid control:…

Joscha Bach is a cognitive scientist, AI researcher, and philosopher. Please support this podcast by checking out our sponsors: – Numerai: – Eight Sleep: to get special savings – MasterClass: to get 15% off – AG1: to get 1 month supply of fish oil TRANSCRIPT: EPISODE LINKS: Joscha’s Twitter: Joscha’s Website: Joscha’s Substack: PODCAST INFO: Podcast website: Apple Podcasts: Spotify: RSS: Full episodes playlist: Clips playlist: OUTLINE: 0:00 – Introduction 1:15 – Stages of life 13:37 – Identity 20:12 – Enlightenment 26:43 – Adaptive Resonance Theory 33:31 – Panpsychism 43:31 – How to think 51:25 – Plants communication 1:09:20 -…

Did you know that approximately 91% of all the plastic ever produced has never been recycled? Most of it ends up in landfills, while a significant portion pollutes our oceans. Even when plastic is recycled, the process degrades the material, making it less recyclable in the future. Researchers around the world, such as Paula Blázquez-Sánchez from the University of Leipzig, Germany, and César A. Ramírez-Sarmiento from Pontificia Universidad Católica in Santiago, Chile, are using Google DeepMind’s AI tool, AlphaFold, to accelerate scientific research in engineering and identifying plastic-eating enzymes. AlphaFold has been a game-changer for these researchers, allowing them to…

Fields Medal-winning mathematician Terence Tao makes his second appearance in the OpenAI Forum alongside OpenAI’s SVP of Research, Mark Chen to explore a future where mathematics and artificial intelligence converge to unlock groundbreaking scientific advancements. The conversation, facilitated by James Donovan, Science Policy & Partnerships Lead at OpenAI, will also explore the potential these advancements hold to impact society in positive and transformative ways. source

Groundbreaking composer Alvin Lucier, pictured in 1986, experimented often with the physical … More properties of sound.Getty Images Legendary avant-garde composer Alvin Lucier died in 2021 — but that hasn’t stopped him from making new music. Credit an artificial “brain,” grown from his own cells, that emits sound-triggering electrical signals. This in-vitro structure lives at the Art Gallery of Western Australia in Perth. There, through Aug. 3, visitors can wander through “Revivification,” an immersive installation that merges sound and biotechnology to imagine a compelling way creativity could, potentially, live on long after artists die. If you’re picturing a Franken-Lucier rising…

Résumés aren’t telling you what you need to know anymore. And neither are job boards. As AI continues to reshape hiring, startup founders and growth-minded leaders are discovering new ways to build smarter, more stable teams—without wasting time or money on misaligned candidates.For entrepreneurs, speed and precision aren’t luxuries—they’re necessities. The longer a role goes unfilled, the more pressure builds on already-lean teams. Yet traditional hiring still runs on outdated models: post a job, screen for keywords, schedule interviews, and hope for the best. AI is flipping that funnel by making talent acquisition more like matchmaking—fast, transparent, and grounded in…

NVIDIA has announced a foundation AI model for humanoid robots called NVIDIA Isaac GR00T N1, aka GR00T N1. The chip maker announced that this pre-trained AI model is available as open-source. The announcement came at the company’s annual GTC conference, which took place in San Jose, California, on March 18. NVIDIA has announced the GR00T N1, a foundation AI model for humanoid robots NVIDIA reportedly trained the GR00T N1 AI model on existing datasets and synthetically generated data. For those unaware, synthetic data is artificially created using computational methods and simulations and mimics the statistical properties of real-world data. The…

A new paper co-authored by the former CEO of Google has outlined a future where AI training data centers could be blown up by foreign nations.Eric Schmidt, along with Scale AI CEO Alexandr Wang and the Center for AI Safety’s Dan Hendrycks, warned that “destabilizing AI developments could rupture the balance of power and raise the odds of great-power conflict.”The paper lays out the concept of Mutual Assured AI Malfunction (MAIM), modeled on nuclear mutual assured destruction (MAD), where any “aggressive bid for unilateral AI dominance is met with preventive sabotage by rivals.”This could involve espionage, cyberattacks, or kinetic strikes…