Fitterfly, an India-based digital therapeutics company, announced it is launching an AI feature dubbed Fitterfly Klik in partnership with Google Cloud, which allows individuals with diabetes to track ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

SUNNYVALE, Calif., Jan. 9, 2025 /PRNewswire/ -- Ahead of NRF 2025, the retail industry's largest event, Everseen today announced it is partnering with Google Cloud to help retailers transform physical ...

In industries where compliance violations can directly impact customer health, this becomes incredibly important.

Employing artificial intelligence (AI) in the power industry may seem like a futuristic concept, but the truth is that it’s available in several innovative applications today. Power companies that tap ...

Google Cloud AI is removing the ability to label people in images as "man" or "woman" with its Cloud Vision API, the company told VentureBeat today. Labeling is used to classify images and train ...

The UK’s Ministry of Housing, Communities and Local Government (MHCLG) has worked with Google Cloud, Google DeepMind and Faculty – a company recently acquired by Accenture – to improve the planning ...

Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

In 2012, with the public cloud gaining traction and the concept of big data well-established, Snowflake founders Benoit Dageville and Thierry Cruanes recognised that analysing large datasets required ...