Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

Ever wonder why Grok’s latest crypto analysis separates established tokens from emerging opportunities? The AI’s recent ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime time. Double precision floating point computation (aka FP64) is what keeps ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress than students who were assigned to teachers who used less. Math-vocabulary ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Abstract: For many scientific applications, dense matrix multiplication is one of the most important and computation intensive linear algebra operations. An efficient matrix multiplication on high ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Getting AI governance right is one of the most consequential challenges of our time, calling for mutual learning based on the lessons and good practices emerging from the different jurisdictions ...

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Lottery tickets purchased repeatedly in the same small Texas town led to four separate wins and nearly $21 million in total payouts. State officials verified each claim, but the streak stood out ...