A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

Martinrea International Inc. (TSX:MRE), a diversified and global automotive supplier engaged in the design, development and ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

During the World Economic Forum (WEF) in Davos on 19–23 January 2026, Chalmers University of Technology, Sweden participates in Science House – an international meeting place for science, innovation ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Abstract: The increasing complexity of educational challenges in technical disciplines highlights the need for personalized learning systems to address diverse student needs. Traditional methods, ...

Abstract: This study proposes a current-coding residual (CCR) structure of deep learning (DL) to solve electromagnetic inverse scattering (EMIS) problems in media with inhomogeneous background ...

Amid sky-high inflation, water and energy cuts and prospects for a deal with the U. S. dimming, President Masoud Pezeshkian has apparently thrown up his hands. By Farnaz Fassihi and Leily Nikounazar ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Rapid technological advances are constantly changing our workplaces and the organization of work. Formerly established workflows and role descriptions give way to short-term, skills-based project ...

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...