DARPA's XAI initiative aims to shed light inside the black box of artificial intelligence algorithms. Project Manager Dave Gunning explains how the agency is working to create explainable AI tools that will build trust and reliability into AI models.
In his book, "The Myth of Artificial Intelligence," computer scientist Erik Larson discusses how widely publicized misconceptions have led AI research down narrow paths that are limiting innovation and scientific discoveries.
Neuroscience-inspired deep learning architectures are more resilient to adversarial attacks, researchers at MIT and IBM have found.
Mailchimp has released a new AI tool to provide recommendations for email marketing campaigns. It might be its most impactful foray into AI content marketing.
Cerebras CEO Andrew Feldman discusses the hardware challenges of LLMs and his vision to reduce the costs and complexity of training and running large neural networks.
Does artificial intelligence require moral values? We spoke to Patricia Churchland, neurophilosopher and author of "Conscience: The Origins of Moral Intuition"
Late payments and invoice management are big challenges. Read about how payment platform Accru is addressing these challenges.
The team behind IBM's RoboRXN platform explains how AI, robotics, and the cloud can change the future of drug and chemicals research.
If you’ve been following technology news, you’ve probably heard of end-to-end encryption. It’s the technology that makes sure the data you send—whether it’s a file, an email, or...
The convergence of AI and neuroscience opens exciting possibilities for understanding human cognition and driving innovation in deep learning.