A new breed of tiny, hyper-efficient AI is revolutionizing space, extending satellite life and unlocking the next great era of autonomous exploration.
The convergence of AI and neuroscience opens exciting possibilities for understanding human cognition and driving innovation in deep learning.
Late payments and invoice management are big challenges. Read about how payment platform Accru is addressing these challenges.
Greg Ellis, GM of Application Security at Digital.ai, delves into the evolving landscape of machine learning security.
Cerebras Systems CEO Andrew Feldman explains the impact of open-source large language models (LLM) on the broader AI community.
Neuroscientist Terry Sejnowski discusses the early struggles of deep learning, its explosion into the mainstream, and the lessons learned from decades of research and development.
AI21 Labs chief scientist Yoav Levine explains how retrieval augmented language modeling can solve one of the biggest problems of LLMs.
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.
Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans and animals, AI and natural intelligence, and future directions of research.
Nenshad Bardoliwalla, chief product officer at DataRobot, discusses challenges machine learning in different sectors and how no-code platforms are helping democratize AI.