Musk warned of “stormy weather” ahead, flagged Tesla’s key challenges, and touted its Dojo supercomputer and autonomous driving tech as revolutionary.
Quantum computers have the potential to break common cryptography techniques, search huge datasets and simulate quantum systems in a fraction of the time it would take today’s computers. But before this can happen, engineers need to be able to harness the properties of quantum bits or qubits.
Currently, one of the leading methods for creating qubits in materials involves exploiting the structural atomic defects in diamond. But several researchers at the University of Chicago and Argonne National Laboratory believe that if an analogue defect could be engineered into a less expensive material, the cost of manufacturing quantum technologies could be significantly reduced. Using supercomputers at the National Energy Research Scientific Computing Center (NERSC), which is located at the Lawrence Berkeley National Laboratory (Berkeley Lab), these researchers have identified a possible candidate in aluminum nitride. Their findings were published in Nature Scientific Reports.
“Silicon semiconductors are reaching their physical limits—it’ll probably happen within the next five to 10 years—but if we can implement qubits into semiconductors, we will be able to move beyond silicon,” says Hosung Seo, University of Chicago Postdoctoral Researcher and a first author of the paper.
The new chip can wire together supercomputers for artificial intelligence networks.
American semiconductor manufacturing company Broadcom Inc. has released a new chip Jericho3-AI, which is being touted by the company as the highest-performance fabric for artificial intelligence (AI) networks. The new chip will wire together supercomputers.
G0d4ather/iStock.
The GPT phenomenon and the future of humanity in the face of advances in Artificial Intelligence.
The Age of Artificial Intelligence is an increasingly present reality in our daily lives. With the rise of technologies such as Natural Language Processing (NLP) and Artificial Neural Networks (ANN), the possibility of creating machines capable of performing tasks that were previously exclusive to humans has emerged.
One of these technologies is the Generative Pre-trained Transformer, better known as GPT. It’s the Large Language Model (LLM) developed by OpenAI.
OpenAI was founded in San Francisco, California in 2015 by Sam Altman, Reid Hoffman, Jessica Livingston, Elon Musk, Ilya Sutskever, Peter Thiel, among others, who collectively pledged $1 billion. Musk resigned from the board in 2018, but continued to be a donor to the project.
From high-tech fighting machines to supercomputers and killer robots, science fiction has a lot to say about war. You might be surprised to learn that some governments (including the UK and France) are now turning their attention to these fantastical stories as a way to think about possible futures and try and ward off any potential threats.
For many years now, science fiction writers have made prophesies about futuristic technologies that have later become a reality. In 1964, Arthur C. Clarke famously predicted the internet. And in 1983, Isaac Asimov predicted that modern life would become impossible without computers.
It also says that it has a healthy pipeline for chips in the future.
Search engine giant Google has claimed that the supercomputers it uses to develop its artificial intelligence (AI) models are faster and more energy efficient than Nvidia Corporation’s. While processing power for most companies delving into the AI space comes from Nvidia’s chips, Google uses a custom chip called Tensor Processing Unit (TPU).
Google announced its Tensor chips during the peak of the COVID-19 pandemic when businesses from electronics to automotive faced the pinch of chip shortage.
Continue reading “AI chip race: Google says its Tensor chips compute faster than Nvidia’s A100” »
Echopraxia is a book set in one of the most interesting sci-fi universes that I have covered on this channel. It is technically a sequel to Blindsight, but it is not necessary that you read Blindsight to understand Echopraxia is set in the late 21 century. About 14 years after man’s first contact with alien life.
This book brings up one of the most interesting concepts I’ve ever encountered in any sci-fi book ever. And that is the concept of the “Digital Universe” and God as a Virus. Now this is a concept that comes from the field of digital physics, which keep in mind is all theoretical. It is based on the premise that the universe is pure mathematics at its base, every event that occurs can be thought of as a kind of computation. This could mean that the universe is a simulation, but that is not necessary for the idea to work.
OAKLAND, California, March 28 (Reuters) — Artificial intelligence chip startup Cerebras Systems on Tuesday said it released open source ChatGPT-like models for the research and business community to use for free in an effort to foster more collaboration.
Silicon Valley-based Cerebras released seven models all trained on its AI supercomputer called Andromeda, including smaller 111 million parameter language models to a larger 13 billion parameter model.
“There is a big movement to close what has been open sourced in AI…it’s not surprising as there’s now huge money in it,” said Andrew Feldman, founder and CEO of Cerebras. “The excitement in the community, the progress we’ve made, has been in large part because it’s been so open.”
I dunno if anyone has seen this. As a former Linux user, I’ve been an Nvidia fan for a long time and now they’ve gone on from games and Bitcoin mining. Sorry if this is a double post. I’m on my way out the door for my mom’s Dr appointment. I always worry I’ll double post by accident.
NVIDIA’s Jensen Huang just announced a set of revolutionary new Artificial Intelligence Models and Partnerships at GTC 2023. NVIDIA has always been one of, if not the most important company in the AI Industry by creating the most powerful AI hardware to date. Among them the A100 and future H100 GPU’s which are powering GPT-4 from OpenAI, Midjourney and everyone else. This gives them a lot of power to jump into the AI race themselves and allows them to surpass and beat the currently best AI models from Large Language Models and Image Generation with software like Omniverse and Hardware like the DGX H100 Supercomputer and Grace CPU’s.
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TIMESTAMPS:
00:00 NVIDIA enters the AI Industry.
01:43 GTC 2023 Announcements.
04:48 How NVIDIA Beat Every Competitor at AI
07:40 Running High End AI Locally.
10:20 What is NVIDIA’s Future?
13:05 Accelerating Future.
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Technology is improving at an almost exponential rate. Robots are learning to walk & think, Brain Computer Interfaces are becoming commonplace, new Biotechnology is allowing for age reversal and Artificial Intelligence is starting to surpass humans in many areas. Follow FutureNET to always be up to date on what is happening in the world of Futuristic Technology and Documentaries about humanities past achievements.
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#nvidia #ai #gtc
Year 2018 😗😁 Biological singularity here we come 💜 😌 💕
Building a computer out of the skeletons that hold our cells together could make them smaller and far more energy efficient.
Quantum computers have the potential to break common cryptography techniques, search huge datasets and simulate quantum systems in a fraction of the time it would take today’s computers. But before this can happen, engineers need to be able to harness the properties of quantum bits or qubits.
