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.
Severe flaws in logistics and technology threatened the integrity of the online vote in Ontario's 2022 municipal elections, a ...
Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and ...
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 ...
From predictive maintenance to excursion monitoring, AI is redefining yield management in multi-die assembly. When a ...
Today, we sat down with Prova to discuss her journey, her research philosophy, and why adaptability and interpretability ...
Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...
What we’re seeing today with AI feels different, as we’re about to hand over how people experience information to algorithms ...
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