Bill Gates said current AI models need “data that embodies the expertise,” such as in pharmaceuticals or agriculture, in order to succeed.
Amazon.com’s self-driving car unit, Zoox, is seeking to stay abreast of rival Waymo by expanding its vehicles’ testing in California and Nevada to include a wider area, higher speeds and nighttime driving.
ANYmal is a truly remarkable robot, capable of standing and lifting things like a humanoid, or slinking around on all fours like a quadruped, with or without wheels. But what’s really surprised us now is the eerie grace it’s starting to move with.
Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory. The development of a new theory is typically associated with the greats of physics. You might think of Isaac Newton or Albert Einstein, for example. Many Nobel Prizes have already been awarded for new theories. Researchers at Forschungszentrum Jülich have now programmed an artificial intelligence that has also mastered this feat. Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory.
In the following interview, Prof. Moritz Helias from Forschungszentrum Jülich’s Institute for Advanced Simulation (IAS-6) explains what the “Physics of AI” is all about and to what extent it differs from conventional approaches.
Figure has demonstrated the first fruit of its collaboration with OpenAI to enhance the capabilities of humanoid robots. In a video released today, the Figure 1 bot is seen conversing in real-time.
The development progress at Figure is nothing short of extraordinary. Entrepreneur Brett Adcock only emerged from stealth last year, after gathering together a bunch of key players from Boston Dynamics, Tesla Google DeepMind and Archer Aviation to “create the world’s first commercially viable general purpose humanoid robot.”
Continue reading “Video: GPT-enhanced humanoid speaks and reasons as it works” »
The Schwartz Reisman Institute for Technology and Society and the Department of Computer Science at the University of Toronto, in collaboration with the Vector Institute for Artificial Intelligence and the Cosmic Future Initiative at the Faculty of Arts \& Science, present Geoffrey Hinton on October 27, 2023, at the University of Toronto.
0:00:00 — 0:07:20 Opening remarks and introduction.
0:07:21 — 0:08:43 Overview.
0:08:44 — 0:20:08 Two different ways to do computation.
0:20:09 — 0:30:11 Do large language models really understand what they are saying?
0:30:12 — 0:49:50 The first neural net language model and how it works.
0:49:51 — 0:57:24 Will we be able to control super-intelligence once it surpasses our intelligence?
0:57:25 — 1:03:18 Does digital intelligence have subjective experience?
1:03:19 — 1:55:36 Q\&A
1:55:37 — 1:58:37 Closing remarks.
Continue reading “Will digital intelligence replace biological intelligence?” »
Chinese ambassador Chen Xu called for the high-quality development of artificial intelligence (AI), assistance in promoting children’s mental health, and protection of children’s rights while delivering a joint statement on behalf of 80 countries at the 55th session of the United Nations Human Rights Council (UNHRC) on Thursday.
Chen, China’s permanent representative to the UN Office in Geneva and other international organizations in Switzerland, said that artificial intelligence is a new field of human development and should adhere to the concept of consultation, joint construction, and shared benefits, while working together to promote the governance of artificial intelligence.
The new generation of children has become one of the main groups using and benefiting from AI technology. The joint statement emphasized the importance of children’s mental health issues.
🧠 New Graph Neural Network Technique 🔥
NVIDIA researchers developed WholeGraphStor, a novel #GNN memory optimization.
Storing entire graphs in a compressed format reduces memory footprint,…
Continue reading “WholeGraph Storage: Optimizing Memory and Retrieval for Graph Neural Networks” »
There is a new AI tool so smart that it can write code, create websites, and software with just a single prompt. Devin, created by the tech company Cognition, is the first AI software engineer. It can do pretty much everything you ask it to do. And the AI tool does not come with the intention to replace human engineers, it is designed to work hand-in-hand with them. The makers say that the AI tool has not been launched to replace human engineers but to make their lives easier.
“Today we’re excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser,” Cognition posted on Twitter aka X.
