Discover how researchers are tackling the challenges of integrating renewable energy into power grids. A new study in Engineering presents a groundbreaking framework to manage uncertainties in power ...

Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep Learning. Open Journal of Applied Sciences, 16, 779-797. doi: 10.4236/ojapps.2026.163048 .

Researchers engineered the first RNA-based NAND gate in living cells using deep learning and Bayesian optimization, testing ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

Magnetic invisibility sounds simple in theory. Place the right materials around an object and magnetic fields flow around it as if nothing were there. Reality has been far messier. For nearly two ...

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better diversification.

Native integration between Canary Historian & SORBA.ai transforms trusted time-series data into predictive intelligence for reliability and process optimization. JACKSONVILLE, FL, ...