A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to real-time, dynamic chemical experiments, researchers have created a self-driving lab that collects 10 times more data, drastically accelerating progress. This new system not only saves time and resources but also paves the way for faster breakthroughs in clean energy, electronics, and sustainability—bringing us closer to a future where lab discoveries happen in days, not years.
IN A NUTSHELL 🍽️ Scientists have developed an AI-powered graphene tongue that detects flavors with near-human precision. 🧠 The system uses machine learning to interpret chemical signals and identify flavor profiles effectively. ⚡ The integration of sensing and computing in a single device allows for faster, more efficient taste data interpretation. 🔬 Future applications could
Welcome to my channel, your front-row seat to the AI revolution. I bring you the latest news, trends, and breakthroughs in Artificial Intelligence, from ChatGPT updates to cutting-edge tools and research shaping the future. Everything is explained simply so you stay informed, empowered, and ahead of the curve.
Nanoparticles—the tiniest building blocks of our world—are constantly in motion, bouncing, shifting, and drifting in unpredictable paths shaped by invisible forces and random environmental fluctuations.
Better understanding their movements is key to developing better medicines, materials, and sensors. But observing and interpreting their motion at the atomic scale has presented scientists with major challenges.
Researchers in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE) have developed an artificial intelligence (AI) model that learns the underlying physics governing those movements.
Michael Graziano is a scientist and novelist who is currently a Professor of Psychology and Neuroscience at Princeton University. He’s a best-selling author and has written several books including “Consciousness and the Social Brain”, “Re-thinking Consciousness”, “The Spaces Between Us”, and much more. His scientific research at Graziano Lab focuses on the brain basis of awareness. He has proposed the “attention schema theory” (AST), an explanation of how, and for what adaptive advantage, brains attribute the property of awareness to themselves.
TIMESTAMPS: 0:00 — Introduction. 2:12 — Meet Dr Michael Graziano: The Consciousness Theorist. 6:44 — What Is Consciousness? A Deep Dive. 11:35 — The Illusion of Consciousness. 15:20 — Attention Schema Theory. 20:05 — Mystery of Self-Awareness and the ‘I’ 25:10 — The Hard Problem vs. the Meta Problem of Consciousness. 30:55 — Social Awareness & Dehumanization. 34:20 — Effect of Social Media on Human Interaction. 38:05 — Role of Attention in Machine Consciousness. 41:55 — Creating an AI Mind: Step by Step Guide. 47:30 — Exploring the Building Blocks of Artificial Consciousness. 51:15 — AI Self-Perception: Can Machines Be Conscious? 56:10 — Challenging the Magical vs. Scientific View of Consciousness. 1:00:40 — Consciousness: A Choice Between Magic and Science? 1:05:12 — Attention in Machine Learning: A Closer Look. 1:10:55 — The Psychology of Human Perception. 1:14:20 — Social Awareness and the Digital Revolution. 1:18:35 — Conclusion.
