That’s why Spore.Bio, a Paris-based deeptech startup, is trying to reinvent microbiology testing to avoid the next PR crisis in the food industry.After raising an €8 million pre-seed round ($8 ...

In this article, let’s explore how machine learning is revolutionizing software testing and breaking new ground for QA teams and enterprises alike, as well as how to successfully implement it. 1.

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter ...

Automated Anomaly detection: Machine learning algorithms can learn regular application performance patterns by analyzing performance measures like response time, throughput, and resource utilization.

Torc is now sponsoring and collaborating in Stanford University's research to improve machine learning safety. The ...

On Wednesday, predictive analytics firm Recentive filed a combined petition for panel rehearing and rehearing en banc with the U.S. Court of Appeals for the Federal Circuit challenging that court’s ...

Stripe uses machine learning to reduce card testing fraud by 80%. ... Battling card testing fraud is a great application for machine learning and advanced data management, according to David Mattei, ...

The “machine learning-based age estimation model” will try to predict whether a user is under 18 and, if so, apply appropriate age filter settings to their account.

Spore.Bio raises $23M to apply machine learning to ... you’ve got a 5-day imponderable test in the agri-food sector and a 14-day test in the pharmaceutical and cosmetics sectors to ...

Singular led the round, while Point 72 Ventures, 1st Kind Ventures (the family office of the Peugeot family), Station F and Lord David Prior participated. Spore.Bio managed to raise so quickly ...