Hanan Kalaz

After a cyber attack or natural disaster, a backup network of decentralized devices — like residential solar panels, batteries, electric vehicles, heat pumps, and water heaters — could restore electricity or relieve stress on the grid, engineers find.

In a leap forward for quantum computing, physicists unveiled an eight-qubit topological quantum processor, the first of its kind. The chip, built as a proof-of-concept for the scientists’ design, opens the door to the development of the long-awaited topological quantum computer.

Artificial Intelligence (AI), particularly large language models like GPT-4, has shown impressive performance on reasoning tasks. But does AI truly understand abstract concepts, or is it just mimicking patterns? A new study reveals that while GPT models perform well on some analogy tasks, they fall short when the problems are altered, highlighting key weaknesses in

A novel system that chases larval zebrafish around an arena with predator robots is enabling scientists to understand how these days-old fish quickly learn in the real world.

Chemical engineers have discovered that adding nickel atoms to silver catalysts could revolutionize the production of ethylene oxide by eliminating the need for toxic chlorine while maintaining efficiency. The breakthrough could significantly reduce greenhouse gas emissions from the $40 billion global ethylene oxide industry, which currently produces this crucial chemical used in plastics, textiles, antifreeze,

Safety critical components for aircraft and Formula 1 racing cars could one day be 3D printed via a new technique that substantially reduces imperfections in the manufacturing process.

A research team has unveiled a new artificial intelligence (AI) system that uses satellite imagery to track urban green spaces more accurately than prior methods, critical to ensuring healthy cities.

Researchers have succeeded in establishing a method for producing recycled liquid fertilizer that contains high concentrations of phosphorus.

Researchers have developed Deep Nanometry, an analytical technique combining advanced optical equipment with a noise removal algorithm based on unsupervised deep learning. Deep Nanometry can analyze nanoparticles in medical samples at high speed, making it possible to accurately detect even trace amounts of rare particles. This has proven its potential for detecting extracellular vesicles indicating

Epigenetic inhibitors as a promising new antimalarial intervention strategy? A new study identifies an inhibitor of gene regulation that specifically kills the malaria pathogen.