Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,739

Advanced New Artificial Intelligence Software Can Compute Protein Structures in 10 Minutes

Unlike DeepMind, the UW Medicine team’s method, which they dubbed RoseTTAFold, is freely available. Scientists from around the world are now using it to build protein models to accelerate their own research. Since July, the program has been downloaded from GitHub by over 140 independent research teams.

Accurate protein structure prediction now accessible to all.

Scientists have waited months for access to highly accurate protein structure prediction since DeepMind presented remarkable progress in this area at the 2020 Critical Assessment of Structure Prediction, or CASP14, conference. The wait is now over.

Researchers at the Institute for Protein Design at the University of Washington School of Medicine in Seattle have largely recreated the performance achieved by DeepMind on this important task. These results were published online by the journal Science on July 15, 2021.

China Wants a Chip Machine From the Dutch. The U.S. Said No

The chip world’s most important machines are made near corn fields in the Netherlands. The U.S. is trying to block China from buying them.

The one-of-a-kind, 180-ton machines are used by companies including Intel Corp., South Korea’s Samsung Electronics Co. and leading Apple Inc. supplier Taiwan Semiconductor Manufacturing Co. to make the chips in everything from cutting-edge smartphones and 5G cellular equipment to computers used for artificial intelligence.

China wants the $150-million machines for domestic chip makers, so smartphone giant Huawei Technologies Co. and other Chinese tech companies can be less reliant on foreign suppliers. But ASML hasn’t sent a single one because the Netherlands—under pressure from the U.S.—is withholding an export license to China.

The Biden administration has asked the government to restrict sales because of national-security concerns, according to U.S. officials. The stance is a holdover from the Trump White House, which first identified the strategic value of the machine and reached out to Dutch officials.

Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable part of physics research, with domain applications ranging from theory and materials prediction to high-throughput data analysis. In parallel, the recent successes in applying ML/AI methods for autonomous systems from robotics to self-driving cars to organic and inorganic synthesis are generating enthusiasm for the potential of these techniques to enable automated and autonomous experiments (AE) in imaging. Here, we aim to analyze the major pathways toward AE in imaging methods with sequential image formation mechanisms, focusing on scanning probe microscopy (SPM) and (scanning) transmission electron microscopy ((S)TEM).

Voice clone of Anthony Bourdain prompts synthetic media ethics questions

A New Yorker review of “Roadrunner,” a documentary about the deceased celebrity chef Anthony Bourdain by the Oscar-winning filmmaker Morgan Neville, reveals that a peculiar method was used to create a voice over of an email written by Bourdain. In addition to using clips of Bourdain’s voice from various media appearances, the filmmaker says he had an “A.I. model” of Bourdain’s voice created in order to complete the effect of Bourdain ‘reading’ from his own email in the film. “If you watch the film, other than that line you mentioned, you probably don’t know what the other lines are that were spoken by the A.I., and you’re not going to know,” Neville told the reviewer, Helen Rosner. “We can have a documentary-ethics panel about it later.”

On Twitter, some media observers decided to start the panel right away.

“This is unsettling,” tweeted Mark Berman, a reporter at the Washington Post, while ProPublica reporter and media manipulation expert Craig Silverman tweeted “this is not okay, especially if you don’t disclose to viewers when the AI is talking.” Indeed, “The ‘ethics panel’ is supposed to happen BEFORE they release the project,” tweeted David Friend, Entertainment reporter at The Canadian Press.

Argonne National Laboratory

Argonne researchers across the laboratory complex are using AI to design better materials and processes, safeguard the nation’s power grid, accelerate medical treatments, automate traditional research, and drive discovery.

Armed with some of the world’s brightest minds and best computing resources, Argonne is at the forefront of AI research, playing an integral role in applying innovative AI methods to solve problems and change lives.

The Greek Laser Weapon That Hits Drones Every 2–3 Seconds

The inventor of the first robot in Greece, Konstantinos Soukos, has pushed Greece into a new era by creating laser weapons that target drones.

When the inventor and businessman Konstantinos Soukos built the first robot in Greece in 1985, he did not imagine that 36 years later he would supply many military forces across the world.

One of the newest creations that stands out at the DEFEA 2021 Defence Exhibition in Athens is the High Energy Laser Weapon developed by the Soukos Robots company which promises to transfer energy at lightning speed.

Facebook AI Releases ‘BlenderBot 2.0’: An Open Source Chatbot That Builds Long-Term Memory And Searches The Internet To Engage In Intelligent Conversations With Users

BlenderBot 2.0 is better at conducting more extended, more knowledgeable, and factually consistent conversations over multiple sessions than the existing state-of-the-art chatbot. BlenderBot’s improved conversational abilities have made it a serious contender for artificial intelligence research.

The AI model takes the information it gets from conversations and stores them in long-term memory. The knowledge is stored separately for each person they speak to, which ensures that new information learned in one conversation can’t be used against another.

This model can read and respond in real-time, making it an excellent tool for keeping up with current events. It can scan the internet for new information to have a more up-to-date conversation.

Customizing Soft Robots in a Universal Way

What are Soft Robots?

What are Soft Robots?Soft robots are largely made of readily malleable matter, such as fluids, gels, and elastomers, which may match specific materials in a process known as compliance matching. The idea of compliance matching states that materials that make contact with one other should have similar mechanical stiffness in order to transfer internal load uniformly and reduce interfacial tensile stress. This principle, nevertheless, does not applicable to rigid robots (E=109Pa) engaging with soft materials (E=102-106Pa), causing serious damage or mechanical immobility. These kinds of interactions with soft materials are common, for example, with natural skin, muscular tissue, and sensitive interior organs, but also with creatures, artificial predictor variables of biological functions, and so on. Because of this huge disparity in mechanical compliance, it’s simple to assume that stiff robots are unsuitable, if not hazardous, for close human engagement.

Photonic computers: The future of computing is… analogue

The future is optical. Photonic processors promise blazing fast calculation speeds with much lower power demands, and they could revolutionise machine learning.

Photonic computing is as the name suggests, a computer system that uses optical light pulses to form the basis of logic gates rather than electrical transistors. If it can be made to work in such a way that processors can be mass produced at a practical size it has the potential to revolutionise machine learning and other specific types of computing tasks. The emphasis being on the word if. However there are some intriguing sounding products close to coming to market that could changes things drastically.

The idea behind photonic computers is not a new one, with optical matrix multiplications first being demonstrated in the 1970s, however nobody has managed to solve many of the roadblocks to getting them to work on a practical level that can be integrated as easily as transistor based systems. Using photons is an obvious choice to help speed things up. After all all new homes in the UK are built with fibre to the home for a reason. Fibre optic cables are superior to aluminium or copper wires for the modern world of digital data communication. They can transmit more information faster, and over longer distances without signal degradation than metal wiring. However transmitting data from A to B is a whole different kettle of fish to putting such optical pipelines onto a chip fabrication that allows for matrix processing, even though some data centres already use optical cables for faster internal data transfer over short distances.

From 3 Day Weekends Through To A Life Of Leisure. The Future Is Looking Good

From 3 day weekends to a future where all the jobs you do not want to do are automated, leaving you to spend your time as you desire.
Learning and research.
Sport and recreation.
Tourism and adventure.
Or whatever takes your fancy…

Well 4 day working weeks are already arriving, and I then show the rate of break throughs in Artificial Intelligence in just the last decade, which are removing the repetition and boredom from our jobs, so we can spend more time on the bits that matter and that are of interest.

What do you think?

Let us know your thoughts in the comments.

If you want to see more about the decade of disruption that is heading our way, then check out this next…

Iceland study.

Continue reading “From 3 Day Weekends Through To A Life Of Leisure. The Future Is Looking Good” | >