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The 100 MW Dalian Flow Battery Energy Storage Peak-shaving Power Station, with the largest power and capacity in the world so far, was connected to the grid in Dalian, China, on September 29, and it will be put into operation in mid-October.

This energy storage project is supported technically by Prof. Li Xianfeng’s group from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences. And the system was built and integrated by Rongke Power Co. Ltd.

The Dalian Flow Battery Energy Storage Peak-shaving Power Station was approved by the Chinese National Energy Administration in April 2016. As the first national, large-scale storage demonstration project approved, it will eventually produce 200 megawatts (MW)/800 megawatt-hours (MWh) of electricity.

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Personalized Bio-Engineered Human Hearts For All — Dr. Doris A. Taylor, Ph.D., CEO, Organamet Bio Inc.

Dr. Doris A. Taylor, Ph.D. is Chief Executive Officer of Organamet Bio Inc. (https://organametbio.com/) an early phase start-up committed to saving lives and reducing the cost of healthcare for those with heart disease. Organamet has a goal is to make personalized bio-engineered human hearts, available to all who need them, within 5 years, increasing availability and access to hearts, decreasing or eliminating need for immunosuppression, reducing total lifetime transplant costs, and improving quality of life.

Dr. Taylor was previously the Director, Regenerative Medicine Research and Director, Center for Cell and Organ Biotechnology, at the Texas Heart Institute in Houston, Texas, where she worked on the integration of regenerative medicine and tissue engineering.

Continue reading “Dr. Doris A. Taylor, Ph.D. — CEO, Organamet Bio Inc. — Personalized Bio-Engineered Human Hearts” | >

A recent video published on the company’s science blog features a new “pinch-grasping” robot system that could one day do a lot of the work that humans in Amazon warehouses do today. Or, potentially, help workers do their jobs more easily.

The topic of warehouse automation is more relevant than ever in the retail and e-commerce industries, especially for Amazon, which is the largest online retailer and the second-largest private sector employer in the US. Recode reported in June that research conducted inside Amazon predicted that the company could run out of workers to hire in the US by 2024 if it did not execute a series of sweeping changes, including increasing automation in its warehouses.

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New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.

Sign up

Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images a day with DALL·E—from artists and creative directors to authors and architects—with over 100K users sharing their creations and feedback in our Discord community.

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❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers.

📝 The paper “LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action” is available below. Note that this is a collaboration between UC Berkeley, University of Warsaw, and Robotics at Google.
https://sites.google.com/view/lmnav.

Website layout with GPT-3: https://twitter.com/sharifshameem/status/1283322990625607681
Image interpolation video with Stable Diffusion: https://twitter.com/xsteenbrugge/status/1558508866463219712

❤️ Watch these videos in early access on our Patreon page or join us here on YouTube:

Continue reading “Google’s New Self-Driving Robot Is Amazing! 🤖” | >

My head is currently swirling and whirling with a cacophony of conceptions. This maelstrom of meditations was triggered by NVIDIA’s recent announcement of their Jetson Orin Nano system-on-modules that deliver up to 80x the performance over the prior generation, which is, in their own words, “setting a new standard for entry-level edge AI and robotics.”

One of my contemplations centers on their use of the “entry level” qualifier in this context. When I was coming up, this bodacious beauty would have qualified as the biggest, baddest supercomputer on the planet.

I’m being serious. In 1975, which was the year I entered university, Cray Research announced their Cray-1 Supercomputer. Conceived by Seymore Cray, this was the first computer to successfully implement a vector processing architecture.

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Advancements in 3D printing have made it easier for designers and engineers to customize projects, create physical prototypes at different scales, and produce structures that can’t be made with more traditional manufacturing techniques. But the technology still faces limitations—the process is slow and requires specific materials which, for the most part, must be used one at a time.

Researchers at Stanford have developed a method of 3D printing that promises to create prints faster, using multiple types of in a single object. Their design, published recently in Science Advances, is 5 to 10 times faster than the quickest high-resolution printing method currently available and could potentially allow researchers to use thicker resins with better mechanical and .

“This new technology will help to fully realize the potential of 3D printing,” says Joseph DeSimone, the Sanjiv Sam Gambhir Professor in Translational Medicine and professor of radiology and of chemical engineering at Stanford and corresponding author on the paper. “It will allow us to print much faster, helping to usher in a new era of digital manufacturing, as well as to enable the fabrication of complex, multi-material objects in a single step.”

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