As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to look ...

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable,” as regulators and consumers alike begin to demand it. “It’s not like this is a future issue. The ...

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

(From left) Sanket Deshmukh, associate professor in chemical engineering, and Fangxi "Toby" Wang, research scientist in chemical engineering, discussing results of explainable artificial intelligence ...

An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of ...

As Artificial Intelligence (AI) becomes an indispensable tool in enterprise financial operations, businesses are swiftly adopting automated solutions for processing invoices, detecting fraud, and ...

Lightning, creators of PyTorch Lightning, today announced a suite of new tools built to accelerate distributed training, reinforcement learning, and experimentation for PyTorch developers and ...