Morning Overview on MSN

Quantum walks explained, and why they could change everything

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...
Tech Xplore on MSN

Q&A: How AI could optimize the power grid

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

D-Wave to acquire Quantum Circuits in bid to become world’s leading quantum computing firm

D-Wave Quantum Inc., a commercial supplier of quantum computing hardware and software, today announced an agreement to ...

Your New Year's Resolution Is Solving The Wrong Problem

The most popular resolution solves the wrong problem. Skip self-optimization—invest in groups that actually show up when life ...
TMCnet

FICO Achieves Massive Speedups in Optimization Using NVIDIA GPUs

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...
Wired

Research Reveals the Optimal Way to Optimize

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...
Quanta Magazine

Researchers Discover the Optimal Way To Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...
IEEE

Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...
Entrepreneur

Solving Problems for Customers Isn’t Enough Anymore — Here’s the Shift That’s Defining the Next Era of Business

We are moving from a world of institutional dependency to one of personal responsibility. The question is no longer, “What can we do for people?” but, “How can we equip people to do more for ...
GitHub

OPT-BENCH: Evaluating LLM Agent on Large-Scale

We present OPT-BENCH, a benchmark comprising 20 machine learning tasks and 10 NP problems, specifically designed to assess large language models’ (LLMs) ability to solve problems with large search ...
techexplorist

Breakthrough system for solving complex optimization problems

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...