Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
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Fintech Strategist Sujatha Iyer on Why Thoughtful Systems Design Is Key to Real-World Innovation in Finance
Fintech is transforming how we manage, move, and grow money. It’s rewriting the rules of access, inclusion, and innova ...
Skilled trades and operations: Machine operators, welders and maintenance professionals keep factories running day-to-day.
Discover Claude Sonnet 4.5, the new AI redefining coding, reasoning, and workflows with its 200K context window and unmatched performance.
Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...
Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and ...
Severe flaws in logistics and technology threatened the integrity of the online vote in Ontario's 2022 municipal elections, a ...
AI has undeniable potential in construction, offering speed, efficiency, and insights once unimaginable. But overreliance is ...
Recalls are rising because today’s vehicles are more complex, more connected, and developed on faster timelines. EVs and ...
This article explores the primary design challenges facing designers of mm-wave radar circuits and discusses solutions that ...
From predictive maintenance to excursion monitoring, AI is redefining yield management in multi-die assembly. When a ...
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