Hybrid hash function post-quantum cryptography research: a new paper on IACR ePrint formalizes a construction whose collision ...

Agentic artificial intelligence needs shared memory and traceability. Yugabyte’s Meko provides a data layer for multi-agent ...

D-Wave quantum supremacy challenged: Flatiron Institute physicists showed that a classical algorithm using 3D tensor networks ...

A twelve-word post from Peter Steinberger on July 18 triggered millions of views and a live technical war over AI agent architecture. Andrew Ng's new knowledge graph course added fuel: should ...

Abstract: Scientific workloads are often described by Directed Acyclic task Graphs. Indeed, DAGs represent both a theoretical model and the structure employed by dynamic runtime schedulers to handle ...

Abstract: We study distributed optimization to minimize a sum of smooth and strongly-convex functions. Recent work on this problem uses gradient tracking to achieve linear convergence to the exact ...

A derivative is a function which measures the slope. It depends upon x in some way, and is found by differentiating a function of the form y = f (x). When x is substituted into the derivative, the ...

Recently, a technique called equality saturation adapted e-graphs for program optimization. Equality saturation can ...

For the second time in a week, a long-standing conjecture has been disproved by artificial intelligence, highlighting the ...

Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...

Kevin Lieber of Vsauce2 examines how basic matchstick puzzles help solve complex graph theory problems.

In May 2026, OpenAI released a new math result that sent shock waves throughout the world of mathematical research. A major unsolved problem called the “unit distance conjecture” had just been ...