Scientists Found a Wordle Trick That Solves 99% of Puzzles

Researchers turned a classic theory of information into a near-perfect Wordle strategy that solves 99% of puzzles.

AI Can Find The Gold. The Rulebook Won’t Let It Count.

Studies show AI can match kriging at estimating gold deposits. So why do the audited filings that move mining stocks still ...
VentureBeat

IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models

Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.ai have built a technique ...
IEEE

A new active equalization method for series battery packs based on dynamic clustering and greedy algorithm

Abstract: To address the inconsistency issue in large-scale series-connected lithium battery packs, this paper proposes an active equalization topology along with a novel equalization control strategy ...
Nature

Probabilistic greedy algorithm solver using magnetic tunneling junctions for traveling salesman problem

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...
Nature

Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer

Hybrid quantum-classical adaptive Variational Quantum Eigensolvers (VQE) hold the potential to outperform classical computing for simulating many-body quantum systems. However, practical ...
LinkedIn

Hash table algorithm achieved a major breakthrough, undergraduate student overturned Turing Award winner Yao Qizhi's 40-year conjecture

Reasoning Process: Funnel hashing is a specialized greedy method where the hash table is partitioned into multiple subarrays, each with a geometric size reduction. Each key is inserted by sequentially ...
Frontiers

Greedy knot selection algorithm for restricted cubic spline regression

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...
Scientific Research Publishing

Multi-Strategy-Driven Salp Swarm Algorithm for Global Optimization ()

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
IEEE

Greedy Search Method for Separable Nonlinear Models Using Stage Aitken Gradient Descent and Least Squares Algorithms

Abstract: Aitken gradient descent (AGD) algorithm takes some advantages over the standard gradient descent and Newton methods: 1) can achieve at least quadratic convergence in general; 2) does not ...
Quanta Magazine

Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...