The Meta CEO is spending massively on AI. In a call with analysts, he explained how these huge investments can pay off in the future.
Category: robotics/AI – Page 337
DNA nanostructures can perform some of the complex robotic fabrication process for manufacturing and self-replication. Building things and performing work with nanorobots has been a major technical and scientific goal. This has been done and published in the peer reviewed journal Science. Nadrian C. “Ned” Seeman (December 16, 1945 – November 16, 2021) was an American nanotechnologist and crystallographer known for inventing the field of DNA nanotechnology. He contributed enough to this work published in 2023 to be listed as a co-author.
Seeman’s laboratory published the synthesis of the first three-dimensional nanoscale object, a cube made of DNA, in 1991. This work won the 1995 Feynman Prize in Nanotechnology. The concept of the dissimilar double DNA crossover introduced by Seeman, was important stepping stone towards the development of DNA origami. The goal of demonstrating designed three-dimensional DNA crystals was achieved by Seeman in 2009, nearly thirty years after his original elucidation of the idea.
The concepts of DNA nanotechnology later found further applications in DNA computing, DNA nanorobotics, and self-assembly of nanoelectronics. He shared the Kavli Prize in Nanoscience 2010 with Donald Eigler for their development of unprecedented methods to control matter on the nanoscale.
Nvidia Dgx Gh200
Posted in robotics/AI, supercomputing
First @NVIDIA DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen “to advance AI, computing, and humanity”: v/ @gdb.
First @NVIDIA DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen “to advance AI, computing, and humanity”: pic.twitter.com/rEJu7OTNGT
— Greg Brockman (@gdb) April 24, 2024
Massive memory supercomputing for emerging #AI.
The tech giant is building lightweight AI that’s more power-efficient and can run on PCs and phones.
In a recent interview, NVIDIA CEO Jensen Huang shared his vision for the future, predicting that humanoid robots will soon become mainstream products, revolutionizing various industries.
Huang emphasized that manufacturing costs for humanoid robots will be surprisingly low, comparable to the price range of cheap cars. He proposed a price range of $10,000 to $20,000 for these robots, making them accessible to a wide range of consumers.
Drawing parallels with the automotive industry, Huang highlighted the potential flexibility and versatility of robots in certain man-made environments. He suggested that these robots could handle dangerous, repetitive, or tedious tasks, enhancing efficiency and safety in workplaces.
Flamethrowers are not specifically regulated in 48 US states, although general product liability and criminal laws may still apply to their use and sale. They are not considered firearms by federal agencies. Specific restrictions exist in Maryland, where flamethrowers require a Federal Firearms License to own, and California, where the range of flamethrowers cannot exceed 10 feet.
Even so, to state the obvious, flamethrowers can easily burn both things and people, starting fires and wreaking havoc if not used safely. Accordingly, the Thermonator might be one Christmas present you should skip for little Johnny this year.
AI is the technology trend of the moment—but what’s 10 years down the road? Some experts say quantum computing will be the next game changer. WSJ visited IBM’s quantum computing lab to learn why.
The recent collaboration between Kaffa Roastery and Elev highlights the potential of AI in food science, particularly in creating personalized taste experiences.
Taste Buds Meet TechnologyThe recent collaboration between Kaffa Roastery and Elev, a Finnish AI consultancy, has shed light on the potential of artificial intelligence in the world of food science. By leveraging AI models to create a unique coffee blend tailored to enthusiasts’ tastes, this partnership has opened up a new realm of possibilities for personalized food experiences. But what if AI could go beyond just coffee blends? Imagine a future where AI can help individuals discover their unique taste profiles and create recipes specifically designed for their palates. This new approach to cooking could transform the way we think about food and our relationship with it.