Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...

Is the AI bubble bursting or just noise? Explore continual learning, nested learning, and introspection, plus fixes for ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...