New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Valory co-founder David Minarsch says autonomous agents running on the Olas protocol are giving retail traders a 24/7, strategy-driven edge on platforms like Polymarket.

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Starting in September 2026, you can become a part of the Best Internship in Retail (BIIR) Program, alongside 50+ fellow interns! As an Ecommerce Data Analyst Intern, you'll support our Ecommerce and ...

Scenario: throughput=30 Mbps, latency=400 ms, packet_loss=8% [CRITICAL] Throughput is critically low at 30.0 Mbps (threshold: 100.0 Mbps) [WARNING] Latency is high at 400.0 ms (threshold: 200.0 ms) ...

Hims & Hers Health Inc. shares fell on continued uncertainty about whether the telehealth company can keep selling copycat weight-loss drugs that are mired in legal and regulatory risks. The stock ...

Parts of the Mid-Atlantic and Northeast will contend with a coastal storm that could deliver some impressive snow totals to some areas this weekend. Through Thursday afternoon, the forecast ...

Crude oil prices are on track for a second weekly decline as concerns over a U.S.-Iran escalation subside and geopolitical risk premium decreases. The International Energy Agency revised its 2026 oil ...

Nissan Motor Co. said it’s progressing in a push to recover from its worst financial crisis in decades, with the automaker narrowing a full-year loss forecast as a cost-cutting drive ramps up. The ...

YOKOHAMA, Japan, Feb 12 (Reuters) - Nissan sharply ⁠trimmed ⁠its outlook for a full-year ⁠loss on Thursday and reported a surprise profit in the third quarter, as the struggling Japanese automaker's ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...