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 ...

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 ...

Digital Turbine (NASDAQ:APPS) reported $151.4 million in the fiscal third quarter ended Dec. 31, 2025, up 12% year over year, reflecting increased platform demand across multiple products and ...

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 ...

MeVu, pronounced “Me vs U”,” is the first of its kind mobile and desktop application that allows registered users to predict sports outcomes through contracts on predictive markets on both Polymarket ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

If you’ve ever wanted a social media feed that’s a bit more educational, that dream is now a reality thanks to Xikipedia.