A Formal Framework for Predicting Distributed System Performance under Faults

A Formal Framework for Predicting Distributed System Performance under Faults

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 22 Feb 2026] Title:A Formal Framework for Predicting Distributed System Performance under Faults Vie

Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products

Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products

• Abstract Deep learning foundation models are becoming increasingly popular for use in bioactivity prediction. • Recently, Feng et al. • developed ActFound, a bioactive foundation

Research & Labs · February 24, 2026 (updated February 24, 2026) · 1 min · 192 words
Blood test holds promise for predicting when Alzheimer's symptoms will start

Blood test holds promise for predicting when Alzheimer's symptoms will start

• Email Bluesky Facebook LinkedIn Reddit Whatsapp X Abnormal tau proteins can form tangled fibres that accumulate in the brains of people with Alzheimer’s (slice at left). • (Brain

Science · February 23, 2026 (updated February 24, 2026) · 2 min · 257 words
Blood test holds promise for predicting when Alzheimer's symptoms will start

Blood test holds promise for predicting when Alzheimer's symptoms will start

• Email Bluesky Facebook LinkedIn Reddit Whatsapp X Abnormal tau proteins can form tangled fibres that accumulate in the brains of people with Alzheimer’s (slice at left). • (Brain

Science · February 22, 2026 (updated February 23, 2026) · 2 min · 252 words
Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products

Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products

• Abstract Deep learning foundation models are becoming increasingly popular for use in bioactivity prediction. • Recently, Feng et al. • developed ActFound, a bioactive foundation

Research & Labs · February 22, 2026 (updated February 23, 2026) · 1 min · 200 words

Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products

• Nature Machine Intelligence, Published online: 12 February 2026; doi:10.1038/s42256-026-01187-y This Reusability Report tests the ability of a foundation model, ActFound, to pred

Research · February 19, 2026 (updated February 19, 2026) · 1 min · 98 words
Spruce trees stumped (sigh) when it comes to predicting eclipses

Spruce trees stumped (sigh) when it comes to predicting eclipses

• Josie Ford Josie Ford Feedback isNew Scientist’spopular sideways look at the latest science and technology news. • You can submit items you believe may amuse readers to Feedback

Science · February 18, 2026 (updated February 24, 2026) · 2 min · 245 words
Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models

Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models

• Computer Science > Artificial Intelligence [Submitted on 16 Feb 2026] Title:Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogor

Research & Labs · February 18, 2026 (updated February 24, 2026) · 2 min · 249 words
Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models

Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models

• Computer Science > Artificial Intelligence [Submitted on 16 Feb 2026] Title:Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogor

Research · February 18, 2026 (updated February 19, 2026) · 2 min · 249 words
Predicting 2026

Predicting 2026

• Predicting 2026 Welcome to this week’s edition of the Threat Source newsletter. • It’s become traditional at this time of year to make predictions about cybersecurity for the com

Threat Intelligence · January 15, 2026 (updated February 24, 2026) · 2 min · 232 words