Philips's Tina Manoharan on AI research in health care and the challenges of applying AI in real-world health applications.
IBM Watson's CTO describes the opportunities, prospects and challenges that lie ahead for artificial intelligence–powered chatbots
Cerebras Systems CEO Andrew Feldman explains the impact of open-source large language models (LLM) on the broader AI community.
Cybersecurity is one of the most fluid and changing fields of the tech industry. Every year, new threats and challenges emerge, outpacing past records and expectations. In this respect 2016 was no different. But as...
Alex Momot, Founder and CEO of REMME, shares insights on the opportunities and challenges of IoT and which direction the industry should take.
In his book Augmented Mind, Alex Bates argues that the real opportunities of AI lie in augmenting humans, not replacing them.
Neuroscience-inspired deep learning architectures are more resilient to adversarial attacks, researchers at MIT and IBM have found.
The Self-Assembling Brain, a book by neurobiology professor Peter Robin Hiesinger, sheds light on a largely ignored aspect of intelligence.
Does artificial intelligence require moral values? We spoke to Patricia Churchland, neurophilosopher and author of "Conscience: The Origins of Moral Intuition"
Deep learning and neural networks are becoming increasingly accurate at performing complicated tasks. But are they robust as well. Researchers at MIT-IBM Watson AI Lab have developed methods to evaluate the robustness of neural networks against adversarial examples.