As we have alluded to numerous times when talking about the next “AI” trade, data centers will be the “factories of the future” when it comes to the age of AI.
That’s the contention of Chris Miller, the author of Chip War, who penned a recent opinion column for Financial Times noting that ‘chip wars’ could very soon become ‘cloud wars’
He points out that the strategic use of high-powered computing dates back to the Cold War when the US allowed the USSR limited access to supercomputers for weather forecasting, not nuclear simulations.
Today’s supercomputers consume vast amounts of energy, equivalent to the power usage of thousands of homes. In response, researchers are developing a more energy-efficient form of next-generation supercomputing that leverages artificial neural networks.
A new robot bug that can live in the ocean for 100 years and feed off of bacteria has made its debut as DARPA’s latest surveillance tool.
With a vast amount of area to cover, the US government is funding research for new oceanic spy technology. Now, a Binghamton University team has developed what may become one of the most simple and effective tools in its arsenal.
Now, a new DARPA initiative is playing off of the idea of “the Internet of Things,” the term used for the many non-computer devices connected to the Internet in some way, from refrigerators to fish tanks, and seeking to develop an “Ocean of Things.” With many futurists’ eyes on space conflict and satellite warfare, it’s easy to forget that 71% of the Earth’s surface is water, and naval conflict is still an element in geopolitics.
(Reuters) — John Schulman, one of the co-founders of artificial intelligence company OpenAI, has left the ChatGPT maker for rival Anthropic, he said in a post on social media platform X late Monday.
“This choice stems from my desire to deepen my focus on AI alignment, and to start a new chapter of my career where I can return to hands-on technical work,” Schulman said in his X post.
OpenAI’s President and co-founder Greg Brockman is also taking a sabbatical through the end of the year, he said in a X post late Monday.
PROVO — A new study from a BYU professor is giving insights into the quality of popularly consumed carbohydrates in the U.S. with a new glycemic index and database developed with the use of artificial intelligence.
Nutrition and dietetics professor Karen Della Corte developed a national glycemic index and glycemic load database that was published in the American Journal of Clinical Nutrition. A news release from BYU said the data offers insights into the “evolving quality of carbohydrates consumed in the United States, something that hadn’t been done previously.”
She hopes this database helps increase awareness on the importance of carbohydrate quality in one’s diet and how, with other lifestyle factors, it can help prevent diseases and extend an individual’s health span.
ChatGPT creator OpenAI has developed internal tools for watermarking and tracking AI-generated content with 99.9 percent accuracy, theWall Street Journal reports — but is refusing to release it.
Effective tools for flagging AI-generated text could be useful in any number of situations, from cracking down on cheating students to sorting through the AI-generated sludge filling the web.
Which is why it’s so surprising that OpenAI, as the WSJ reports, has been quietly hanging onto tools that could do exactly that.
In the rapidly advancing field of artificial intelligence (AI), few voices resonate as profoundly as Dr Ben Goertzel’s. With a background in mathematics and decades of experience as an AI researcher, Ben’s insights into the future of AI and its convergence with human intelligence offer a compelling narrative.
This article goes into his perspectives as shared in the session IA générale: vers la singularité — avec Dr Ben Goertzel, exploring the technological singularity, the mainstreaming of transhumanist ideas, and the profound societal and philosophical implications of these advancements.
Ben Goertzel’s journey into AI began in the 1970s, when the concept of machines matching human intelligence was confined to science fiction. Today, however, we are on the brink of achieving this milestone. He expresses his excitement and trepidation about this development, highlighting the double-edged nature of such a revolutionary transformation.
Singularity net Ben goerzel discusses artificial and general intelligence and cosmist intelligence.
Dr. Ben Goertzel discusses artificial general, non-human and cosmist intelligences with Ed Keller at The Overview Effect Lectures, which is a series positioned as a survey of some of the key operational themes critical to post planetary and universal design.
Ed Keller’s Youtube Channel — / machinicphylum.
SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.
We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.
Think and you’ll miss it: researchers at MIT claim to have successfully created analog synapses that are one million times faster than those in our human brains.
Just as digital processors need transistors, analog ones need programmable resistors. Once put into the right configuration, these resistors can be used to create a network of analog synapses and neurons, according to a press release.
These analog synapses aren’t just ultra-fast, they’re remarkably efficient, too. And that’s pretty important, because as digital neural networks grow more advanced and powerful, they require more and more energy, increasing their carbon footprint considerably.
Neuromorphic computers are devices that try to achieve reasoning capability by emulating a human brain. They are a different type of computer architecture that copies the physical characteristics and design principles of biological nervous systems. Although neuromorphic computations can be emulated, it’s very inefficient for classical computers to simulate. Typically new hardware is required.
The first neuromorphic computer at the scale of a full human brain is about to come online. It’s called DeepSouth, and will be finished in April 2024 at Western Sydney University. This computer should enable new research into how our brain actually functions, potentially leading to breakthroughs in how AI is created.
One important characteristic of this neuromorphic computer is that it’s constructed out of commodity hardware. Specifically, it’s built on top of FPGAs. This means it will be much easier for other organizations to copy the design. It also means that once AI starts self-improving, it can probably build new iterations of hardware quite easily. Instead of having to build factories from the ground up, leveraging existing digital technology allows all the existing infrastructure to be reused. This might have implications for how quickly we develop AGI, and how quickly superintelligence arises.
#ai #neuromorphic #computing.
A new supercomputer aims to closely mimic the human brain — it could help unlock the secrets of the mind and advance AI https://theconversation.com/a-new-sup…
