In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Despite challenges in the US market, Digital Turbine Inc (APPS) leverages AI and international expansion to achieve significant revenue and EBITDA growth.

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.

A new app called Known seeks an end to the swiping era by using artificial intelligence to play matchmaker.

DELRAY BEACH, Fla., Feb. 5, 2026 /PRNewswire/ -- According to MarketsandMarkets™, the Advanced Analytics Market is projected ...

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...

Spotify's "About the Song" feature offers fun facts about the music you're listening to. The feature, currently in beta, ...

Digital Turbine (NASDAQ:APPS) reported $151.4 million in the fiscal third quarter ended Dec. 31, 2025, up 12% year over year, ...

Whether it's a scrap of paper on the ground or a bystander that wandered into the family photo, the Photos app on iPhone, ...

Digital Turbine, Inc. (NASDAQ:APPS) Q3 2026 Earnings Call Transcript February 3, 2026 Digital Turbine, Inc. beats earnings expectations. Reported EPS is $0.18, expectations were $0.16. Operator: Good ...

With the aim of transforming the design of plastic materials, AIMPLAS, the Plastics Technology Center, has launched the POLY-ML project, an R&D initiative that applies advanced machine learning ...

Rail Vision Ltd. (Nasdaq: RVSN) ("Rail Vision” or the "Company”), an early commercialization stage technology company seeking ...