By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce parts far stronger than those made using traditional manufacturing ...
AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...
Opinion
Morning Overview on MSNOpinion
Firms hire AI specialists over data engineers, and it’s backfiring
Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...
Abstract: The application of machine learning in sports analytics has gained significant attention in recent years, particularly in the domain of football betting. Predictive models, driven by ...
As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Princeton scientists found that the brain uses reusable “cognitive blocks” to create new behaviors quickly.
Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...
NILES, Ohio – Niles Expanded Metals, a leader in the expanded metals industry, announced the addition of a state-of-the-art expanded metal machine designed to produce decorative and architectural ...
Abstract: This article presents a predictive model using supervised machine learning, highlighting the importance of advanced optimization algorithms. Our approach focuses on a nonsmooth loss function ...
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