Pushing back against the trucking industry’s “AI for everything” hype, Optimal Dynamics launched Scale to give fleets ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Think about the last time you searched for a product. Chances are, you didn’t just type a keyword; you asked a question. Your customers are doing the same, ...

I built wealth early, and I coach people who do the same. That’s why ...

Neel Somani has built a career at the intersection of mathematical optimization and large-scale infrastructure. A UC Berkeley alumnus who sharpened his skills as a Quantitative Researcher at Citadel, ...

Micheal Gumbert writes, "Can you control, and then optimize, your audience's attention? Our audiences notice, they see and hear, our advertising but they might not actually be paying attention." ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

Mathematical programming – the task of expressing operations and decision-making problems in precise mathematical language – is fundamental across domains, yet remains a skill-intensive process ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally stimulating activity—review the squares, jot down a few potential answers, scan ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers. That, at least, is the theory behind mathematical ...

Abstract: When solving decision-making problems with mathematical optimization, some constraints or objectives may lack analytic expressions but can be approximated from the data. When an ...