Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,508

Printing circuits on rare nanomagnets puts a new spin on computing

New research artificially creating a rare form of matter known as spin glass could spark a new paradigm in artificial intelligence by allowing algorithms to be directly printed as physical hardware. The unusual properties of spin glass enable a form of AI that can recognize objects from partial images much like the brain does and show promise for low-power computing, among other intriguing capabilities.

“Our work accomplished the first experimental realization of an artificial spin glass consisting of nanomagnets arranged to replicate a neural network,” said Michael Saccone, a post-doctoral researcher in at Los Alamos National Laboratory and lead author of the new paper in Nature Physics. “Our paper lays the groundwork we need to use these practically.”

Spin glasses are a way to think about material structure mathematically. Being free, for the first time, to tweak the interaction within these systems using electron-beam lithography makes it possible to represent a variety of computing problems in spin-glass networks, Saccone said.

World’s smartest traffic management system launched in Melbourne

One of Melbourne’s busiest roads will host a world-leading traffic management system using the latest technology to reduce traffic jams and improve road safety.

The ‘Intelligent Corridor’ at Nicholson Street, Carlton was launched by the University of Melbourne, Austrian technology firm Kapsch TrafficCom and the Victorian Department of Transport.

Covering a 2.5 kilometre stretch of Nicholson Street between Alexandra and Victoria Parades, the Intelligent Corridor will use sensors, cloud-based AI, machine learning algorithms, predictive models and real time-data capture to improve traffic management – easing congestion, improving road safety for cars, pedestrians and cyclists, and reducing emissions from clogged traffic.

Space Force using Spire data to detect satellite jamming

WASHINGTON — A constellation of about 40 geolocation satellites operated by Spire Global is collecting data used by the U.S. Space Force to detect GPS jamming, an issue now gaining worldwide attention due to Russia’s use of electronic warfare tactics in the run-up to the invasion of Ukraine.

“All of our fellow space companies … everyone is playing a vital role for humanity in this battle for freedom and democracy,” Spire CEO Peter Platzer told analysts March 9 in an earnings call.

Spire is providing GPS telemetry data to help detect jamming as part of a project run by the U.S. Space Systems Command to figure out way to automate manual data analysis techniques and produce more timely intelligence for military operations.

Dear everyone

We — educators, scientists, psychologists — started an educational non-profit Earthlings Hub, to help out the kids, affected by the war. We talk to them about STEM, but also about the complexity of the world, philosophy of science, future, and existential risks. We also offer psychological help to their parents. Our advisory board includes NASA astronaut Greg Chamitoff, lead AI researcher Joscha Bach, Professor of Learning and Cognition, author of Netlogo language Uri Wilensky, lead early math educator Maria Droujkova and others. Please share, participate, donate! https://www.earthlingshub.org/

Elon Musk says people might download their personalities onto a humanoid robot Tesla is making, which he says could be in ‘moderate volume production’ next year

Elon Musk discussed a humanoid robot Tesla is making called Optimus, saying, “We could download the things that we believe make ourselves so unique.”

The longest drone corridor in the world could be built in the U.K., linking multiple cities across the country and representing the most ambitious British transport project since the railway network in the 18th century.

Robot peels banana with deep learning

Researchers in Japan have developed a new machine learning system for a two-armed robot – enabling it to identify, pick up, and peel a banana.

Researchers at the University of Tokyo have developed a new machine learning system for a two-armed robot – enabling it to identify, pick up, and peel a banana.

The manipulation of deformable objects, like soft fruits, is problematic for robots, because of difficulties in object modelling and a lack of knowledge about the type of force and dexterity needed.

Heecheol Kim, a researcher in the Intelligent Systems and Informatics Laboratory, University of Tokyo, worked with colleagues to develop a system based on “goal-conditioned dual-action deep imitation learning (DIL)”. This can learn dexterous manipulation skills using human demonstration data.

American Robotics CEO Reese Mozer calls 2022 an ‘inflection point’ in automated drone services

American Robotics CEO Reese Mozer has no beef with drone deliveries, but he thinks all the hoopla surrounding aerial transport of burgers and burritos is drowning out news about farther-reaching UAV activities that are dramatically changing the way businesses operate. He tells DroneDJ about that transformative innovation, and how American Robotics’s (AR) leading role in the complete automation of critical drone services to industry is set to take wing.

Nevertheless, Mozer adds, that action manages to generate sufficient media and public excitement to divert attention from the more complex, vital, and – in total financial terms – valuable surveying and inspection services drone automation provides heavy industry, energy, railroad, and infrastructure operators. And that’s precisely the UAV sector activity he predicts will begin taking off and turning heads this year.

Artificial Intelligence and Robotics Uncover Hidden Signatures of Parkinson’s Disease

Combining AI and robotics technology, researchers have identified new cellular characteristics of Parkinson’s disease in skin cell samples from patients.

#ai #parkinsons #neuroscience #science #robotics

Summary: Combining AI and robotics technology, researchers have identified new cellular characteristics of Parkinson’s disease in skin cell samples from patients.

Source: New York Stem Cell Foundation

A study published today in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying patient cells with artificial intelligence methods for image analysis.

Using their automated cell culture platform, scientists at the NYSCF Research Institute collaborated with Google Research to successfully identify new cellular hallmarks of Parkinson’s disease by creating and profiling over a million images of skin cells from a cohort of 91 patients and healthy controls.

Continue reading “Artificial Intelligence and Robotics Uncover Hidden Signatures of Parkinson’s Disease” | >