Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Recently, the National Data Bureau released the first batch of 104 high-quality dataset cases with promotional demonstration value, and China Telecom's "Large Model High-Quality Dataset" stood out ...

Secure access service edge (SASE) is a powerful model for delivering security services closer to users and applications. By Nirav Shah and Andres Herrera at Fortinet But for many organisations, ...

Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that ...

According to Securities Star, data from the Tianyancha APP shows that Foton Motor (600166) has recently obtained a utility model patent authorization. The patent is titled 'Pipe Clamp Assembly and ...

Symage, a provider of physics-based, high-fidelity synthetic image data for training AI and computer vision models, will ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

(A large language model) may use any of its training data to formulate a response,” Salesforce said in the filing. “This ...