The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be ...

Why Google partnered with former Twitter CEO Parag Agrawal's $2 billion AI search startup

Twitter CEO Parag Agrawal's AI search startup Parallel, which says AI agents search the web differently than humans.
GitHub

HiGHS - Linear optimization software

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad ...
IEEE

SPARK: Sparsity Aware, Low Area, Energy-Efficient, Near-memory Architecture for Accelerating Linear Programming Problems

Abstract: Integer Linear Programming (ILP) is an important mathematical approach for solving time-sensitive real-life optimization problems, including network routing, map routing, traffic scheduling, ...
IEEE

Using Parallel Branch-and-Bound Method to Accelerate Solving Mixed Integer Linear Programming

Abstract: The Branch-and-Bound(B&B) algorithm is an effective method for solving the Mixed Integer Linear Programming (MILP) problem. Its performance significantly impacts the overall performance of ...