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 chemical energy storage demonstration project approved, it will eventually produce 200 megawatts (MW)/800 megawatt-hours (MWh) of electricity.
NASA and SpaceX signed an unfunded Space Act Agreement Thursday, Sept. 22, to study the feasibility of a SpaceX and Polaris Program idea to boost the agency’s Hubble Space Telescope into a higher orbit with the Dragon spacecraft, at no cost to the government.
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.
Dr. Taylor has a Ph.D. in Pharmacology from UT Southwestern Medical Center, Dallas, Texas. She did her post-doctoral studies at Albert Einstein College of Medicine in the Bronx, New York, where she first worked with tissue engineering, growing heart muscle cells in the laboratory.
Dr. Taylor was on the faculty of Duke University from 1991 to 2007, and then moved to University of Minnesota, where in 2008 her team published a landmark paper in Nature Medicine where they created new beating rat hearts using a combination of tissue engineering processes, first stripping the dead dying cells away from an existing heart (in a process called “de-cellularization”) leaving behind the hearts extracellular matrix and then re-seeding the matrix by injecting new young rat stem cells.
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.
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.
📝 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.
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More companies are thinking about ways they can change their business processes to be green and combat global warming. But what about giving employees incentives to also go green?
Practices in the workplace to lower carbon emissions can be carried over to employees’ homes through company incentives and programs.
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.
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 resin 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 electrical properties.
“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.”
