Cloud-based framework leads to improved efficiency in disaster-area management

For the first time, researchers have implemented a cloud-based, highly efficient control system to aid first responders in disaster-area management. When disaster strikes, nothing is certain. From hazardous chemical leaks to destroyed communications infrastructure, the terrain encountered by first responders…

New control architecture defends complex interconnected systems against cyberattacks

Researchers have developed a novel control architecture that defends complex, interconnected systems previously vulnerable to cyberattacks. Details were published in IEEE/CAA Journal of Automatica Sinica . Distributed systems are becoming more and more essential in everyday life. From power plants…

Knowing the model you can trust – the key to better decision-making

As much of Europe is engulfed by a second wave of Covid-19, and track and trace struggles to meet demand, modelling support tools are being increasingly used by policymakers to make key decisions. Most notably, models have been used to…

Fellow at Sandia Labs appointed to National Quantum Initiative Advisory Committee

ALBUQUERQUE, N.M. — Sandia National Laboratories Fellow Gil Herrera has been appointed to the newly established U.S. National Quantum Initiative Advisory Committee. Herrera is one of two committee members representing the Department of Energy national laboratories. He joins 20 others…

Virtual Heidelberg Laureate Forum – Experiment to Experience

Over the past week, the diverse program of the Virtual Heidelberg Laureate Forum (HLF) materialized one session at a time. Many aspects of the actual Forum were mirrored and though replicating the depth of in-person exchanges is impossible, compelling alternatives…

Engineers pre-train AI computers to make them even more powerful

In 2016, a supercomputer beat the world champion in Go, a complicated board game. How? By using reinforcement learning, a type of artificial intelligence whereby computers train themselves after being programmed with simple instructions. The computers learn from their mistakes…

New data processing module makes deep neural networks smarter

Artificial intelligence researchers at North Carolina State University have improved the performance of deep neural networks by combining feature normalization and feature attention modules into a single module that they call attentive normalization (AN). The hybrid module improves the accuracy…

Ultra-fast magnetic switching with potential to transform fibre optical communications

Researchers at CRANN and the School of Physics at Trinity College Dublin have discovered that a new material can act as a super-fast magnetic switch. When struck by successive ultra-short laser pulses it exhibits “toggle switching” that could increase the…

Scientists predicted new superhard materials

A group of Skoltech scientists used machine learning (ML) methods to predict superhard materials based on their crystal structure. The research was published in the Journal of Applied Physics . This work is supported by Russian Science Foundation. Superhard materials…

Virtual tourism could offer new opportunities for travel industry, travelers

A new proposal for virtual travel, using advanced mathematical techniques and combining livestream video with existing photos and videos of travel hotspots, could help revitalize an industry that has been devastated by the coronavirus pandemic, according to researchers at the…

Quantum light squeezes the noise out of microscopy signals

Researchers at the Department of Energy’s Oak Ridge National Laboratory used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools. “We showed how to use squeezed…

Scientists predicted new hard and superhard ternary compounds

Scientists from the Skolkovo Institute of Science and Technology (Skoltech), Institute of Solid State Chemistry and Mechanochemistry (ISSC SB RAS), Pirogov Medical University and Yerevan State University have predicted new hard and superhard ternary compounds in the tungsten-molybdenum-boron system using…

White House, NSF, and DOE announce over $1 billion in awards for AI and QIS Research

WASHINGTON, D.C. – Today, the White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the U.S. Department of Energy (DOE) announced over $1 billion in awards for the establishment of 12 new artificial intelligence (AI) and…