It’s time for Atlas to pick up a new set of skills and get hands on. In this video, the humanoid robot manipulates the world around it: Atlas interacts with objects and modifies the course to reach its goal—pushing the limits of locomotion, sensing, and athleticism.
To learn how we go from idea to execution, go being the scenes with our team: https://youtu.be/XPVC4IyRTG8
#BostonDynamics #Robots #Robotics
The AI bot that CNET is using to churn out personal finance articles has a relatable problem: it keeps making dumb mistakes.
OpenAI cofounder and CEO Sam Altman sat down for a wide-ranging interview with us late last week, answering questions about some of his most ambitious personal investments, as well as about the future of OpenAI.
This second clip is focused exclusively on artificial intelligence, including how much of what OpenAI is developing Altman thinks should be regulated, whether he’s worried about the commodification of AI, his thoughts about Alphabet’s reluctance to release its own powerful AI, and worst-and best-case scenarios as we move toward a future where AI is ever-more central to our lives.
There was much to discuss (and he was generous to stay and talk about it).
You can find the first part our sit-down — focused in part on Helion Energy, a nuclear fusion company that has become Altman’s second-biggest project — here: https://youtu.be/57OU18cogJI
Queensland researchers train artificial intelligence to trawl recordings and help confirm presence of elusive eastern bristlebird.
Posted in robotics/AI
This shapeshifting controls the biological processes of living things—for example, opening the protein tunnels dotted along neurons or driving cancerous growth. But it also makes understanding protein behavior and developing drugs that interact with proteins a challenge.
While recent AI breakthroughs in the prediction (and even generation) of protein structures are a huge advance 50 years in the making, they still only offer snapshots of proteins. To capture whole biological processes—and identify which lead to diseases—we need predictions of protein structures in multiple “poses” and, more importantly, how each of these poses changes a cell’s inner functions. And if we’re to rely on AI to solve the challenge, we need more data.
Thanks to a new protein atlas published this month in Nature, we now have a great start.
We’ve all seen Cyborgs in Hollywood blockbusters. But it turns out these fictional beings aren’t so far-fetched. In fact, this program features a true-to-life cyborg, who at four months of age, was the youngest American to be outfitted with a myoelectric hand. And at one ground-breaking engineering.
facility, engineers are developing biotechnologies that can even further enhance high-tech like this by giving mechanical prosthetics something incredible: the physical sensation of touch!
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In a recent article published in Nature Materials, researchers reported a conductance-based organic electrochemical neuron (c-OECN) that mimicked biological signaling in neurons, especially activation/inactivation of their sodium and potassium channels.
Compilation of the top interviews, articles, and news in the last year.
During the past several decades, silicon has undeniably been the crown jewel of the semiconductor industry’s transformation. But with the plateauing of Moore’s Law, the increasing complexity of circuits, and the explosive growth of data-intensive applications, companies need even more innovative ways to compute, store, and move data faster. As a result, scale, speed, and power have become underlying forces to handle both advanced intelligence and computing needs.
Silicon photonics has already earned a stronghold for its impressive performance, power efficiency, and reliability compared to conventional electronic integrated circuits. Overall speed requirements have become fast enough, benefiting the technology’s strengths to transfer data efficiently over ever-shortening distances. Meanwhile, artificial intelligence (AI) is pushing computing to a point where electronic components need to communicate over distances to combine and integrate multiple XPUs (application-specific processing units).
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