Lifeboat Foundation

“I suspect the French side is wondering whether the fuel rod damage is caused by something that they can directly address by modifying the equipment design, the water chemistry around the fuel, the plant operating procedures, or maybe even the fuel fabrication process to ensure that this doesn’t happen in other plants that are based on the Taishan design,” Fishman said.

Developer could be trying to find source of fuel rod damage to alter design in the future, analyst says.

Over six decades of integrated circuit production we’ve become used to their extreme reliability and performance for a very reasonable price. But what about those first integrated circuits from the early 1960s? Commercial integrated circuits appeared in 1961, and recently Texas Instruments published a fascinating retrospective on the development of their first few digital ICs.

TI’s original IC product on the market was the SN502, a transistor flip-flop that debuted at $450 (about $4100 today), which caught the interest of NASA engineers who asked for logic functions with a higher performance level. The response was the development of the 51 series of logic chips, whose innovation included on-chip interconnects replacing the hand interconnects of the SN502. Their RCTL logic gave enough performance and reliability for NASA to use, and in late 1963 the Explorer 18 craft carried a telemetry system using the SN510 and SN514 chips into orbit. 52 and 53 series chips quickly followed, then in 1964 the 54 series TTL chips which along with their plastic-encapsulated 74 series equivalents are still available today.

Considering that in 1961 the bleeding edge of integrated circuit logic technology was a two-transistor chip with hand interconnects, it seems scarcely conceivable that by ten years later in 1971 the art had advanced to the point at which the first commercially available microprocessors would be produced. It’s unlikely that many of us will stumble upon any of the three-figure SN1-series logic chips, but to read about them is a fascinating reminder of this pivotal moment in the history of electronics.

Google uses artificial intelligence technology to find millions of buildings on the satellite map that were previously difficult to locate. These can now be used for humanitarian aid or other purposes. Google utilized its building detection model (Continental-Scale Building Detection from High Resolution Satellite Imagery) to create an Open Buildings dataset, containing locations and footprints of 516 million buildings with coverage across most African continent countries.

In this data set, there are millions of buildings that have not been discovered in the past. These newly-discovered building materials will help the outside world understand African populations and where they live, facilitating health care services such as education or vaccination to their communities.

Google’s team of developers built a training set for their building detection model by manually labeling 1.75 million buildings in 100k images to make the most accurate identification possible, even when dealing with rural or urban environments that have vastly different properties and features. The need to identify what kind of dwelling place is being captured was especially difficult during scoping missions in remote areas where natural landmarks were plentiful. At the same time, dense surroundings made it hard to differentiate between multiple structures on an aerial image at once.

Robots today have been programmed to vacuum the floor or perform a preset dance, but there is still much work to be done before they can achieve their full potential. This mainly has something to do with how robots are unable to recognize what is in their environment at a deep level and therefore cannot function properly without being told all of these details by humans. For instance, while it may seem like backup programming for when bumping into an object that would help prevent unwanted collisions from happening again, this idea isn’t actually based on understanding anything about chairs because the robot doesn’t know exactly what one is!

Facebook AI team just released Droidlet, a new platform that makes it easier for anyone to build their smart robot. It’s an open-source project explicitly designed with hobbyists and researchers in mind so you can quickly prototype your AI algorithms without having to spend countless hours coding everything from scratch.

Droidlet is a platform for building embodied agents capable of recognizing, reacting to, and navigating the world. It simplifies integrating all kinds of state-of-the-art machine learning algorithms in these systems so that users can prototype new ideas faster than ever before!

We’ve seen various vertical take-off and landing (VTOL) vehicle designs in the past. From contraptions that feature no wings to air taxis with massive propellers, there are many options to choose from when it comes to VTOLs. But this new aircraft has something unique that allows it to fold its wings and turn into a multirotor drone.

Astronomers have developed the most realistic model to date of planet formation in binary star systems.

The researchers, from the University of Cambridge and the Max Planck Institute for Extraterrestrial Physics, have shown how exoplanets in binary star systems – such as the ‘Tatooine’ planets spotted by NASA

Established in 1958, the National Aeronautics and Space Administration (NASA) is an independent agency of the United States Federal Government that succeeded the National Advisory Committee for Aeronautics (NACA). It is responsible for the civilian space program, as well as aeronautics and aerospace research. It’s vision is “To discover and expand knowledge for the benefit of humanity.”

Mercury Systems speeds up PCB manufacturing by replacing a costly injection molded tools with in-house designed and 3D printed versions.

The world’s first commercial fully re-programmable satellite lifted off from French Guiana on Friday on board an Ariane 5 rocket, ushering in a new era of more flexible communications.

Unlike conventional models that are designed and “hard-wired” on Earth and cannot be repurposed once in orbit, the Eutelsat Quantum allows users to tailor the communications to their needs—almost in real-time.

The satellite will be placed in orbit some 36 minutes after the launch.

https://youtube.com/watch?v=vCQm_2JgLbk

DeepMind CEO and co-founder. “We believe this work represents the most significant contribution AI has made to advancing the state of scientific knowledge to date. And I think it’s a great illustration and example of the kind of benefits AI can bring to society. We’re just so excited to see what the community is going to do with this.” https://www.futuretimeline.net/images/socialmedia/

AlphaFold is an artificial intelligence (AI) program that uses deep learning to predict the 3D structure of proteins. Developed by DeepMind, a London-based subsidiary of Google, it made headlines in November 2020 when competing in the Critical Assessment of Structure Prediction (CASP). This worldwide challenge is held every two years by the scientific community and is the most well-known protein modelling benchmark. Participants must “blindly” predict the 3D structures of different proteins, and their computational methods are subsequently compared with real-world laboratory results.

Continue reading “DeepMind AI predicts 350,000 protein structures” »