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Here are the 10 hardest Wordle answers of 2025—did you solve any of them?

Did Wordle keep you busy this year? Some words are more challenging than others. INBOX -- the Wordle answer on April 19 -- ...
IEEE

A Compute-in-Memory Annealing Processor With Interaction Coefficient Reuse and Sparse Energy Computation for Solving Combinatorial Optimization Problems

Since combinatorial optimization problems (COPs) are a class of non-deterministic polynomial-time (NP)-hard problems, it is impracticable to solve them in brute-force searches, which results in high ...

AI makes every resume perfect, but makes it difficult for employers to sift through true talent

Did we ever imagine that we would be interviewed by robots? Though this seems like a chapter from a renowned sci-fi, ...
News-Medical.Net

Lyophilization reimagined: A digital-intelligence platform for predictable, scalable biologics development

See how BioDlink’s digital-intelligence platform is driving three major improvements in lyophilization workflows.
Onrec

10 Best AI SEO Tools to Automate Your Strategy in 2026

What is the best AI SEO tool for 2026? It depends on goals. SE Ranking stands out for full-scale AI-driven SEO automation ...

D-Wave Quantum Is Looking Like The Early Quantum Computing Winner (Upgrade)

It’s so new, it’s generally deemed pre-commercial. Revenues are above zero, but barley so. And rather than being normal sales ...
IEEE

Solving Dynamic Multiobjective Optimization Problems via Feedback-Guided Transfer and Trend Manifold Prediction

Abstract: Solving dynamic multiobjective optimization problems (DMOPs) is very challenging due to the requirements to respond rapidly and precisely to changes in an environment. Many prediction- and ...