đ Q: How has Waymoâs crash rate changed over time? A: Waymoâs crash rate increased 8x from 10 to 80 per deployed vehicle between 2024 and 2025, despite only a 2-6x increase in fleet size, indicating a potential decrease in safety.
Operational Insights.
đ€ Q: What proportion of Waymo crashes involved fully autonomous vehicles? A: 521 out of 696 crashes (74.9%) involved fully autonomous vehicles without safety operators, while 167 had an onboard safety operator and 5 had a remote operator.
Market Expansion.
đ Q: How has Waymoâs expansion affected its safety record? A: Waymoâs aggressive scaling into new markets like Georgia and Austin, in response to Teslaâs growth, may be contributing to the higher crash rate beyond the increase in deployment rate.
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 sustainabilityâbringing us closer to a future where lab discoveries happen in days, not years.
IN A NUTSHELL đœïž Scientists have developed an AI-powered graphene tongue that detects flavors with near-human precision. đ§ 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. đŹ 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.
Nanoparticlesâthe tiniest building blocks of our worldâare 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 Techâs 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. Heâs a best-selling author and has written several books including âConsciousness and the Social Brainâ, âRe-thinking Consciousnessâ, âThe Spaces Between Usâ, and much more. His scientific research at Graziano Lab focuses on the brain basis of awareness. He has proposed the âattention schema theoryâ (AST), an explanation of how, and for what adaptive advantage, brains attribute the property of awareness to themselves.
TIMESTAMPS: 0:00 â Introduction. 2:12 â Meet Dr Michael Graziano: The Consciousness Theorist. 6:44 â What Is Consciousness? A Deep Dive. 11:35 â The Illusion of Consciousness. 15:20 â Attention Schema Theory. 20:05 â Mystery of Self-Awareness and the âIâ 25:10 â The Hard Problem vs. the Meta Problem of Consciousness. 30:55 â Social Awareness & Dehumanization. 34:20 â Effect of Social Media on Human Interaction. 38:05 â Role of Attention in Machine Consciousness. 41:55 â Creating an AI Mind: Step by Step Guide. 47:30 â Exploring the Building Blocks of Artificial Consciousness. 51:15 â AI Self-Perception: Can Machines Be Conscious? 56:10 â Challenging the Magical vs. Scientific View of Consciousness. 1:00:40 â Consciousness: A Choice Between Magic and Science? 1:05:12 â Attention in Machine Learning: A Closer Look. 1:10:55 â The Psychology of Human Perception. 1:14:20 â Social Awareness and the Digital Revolution. 1:18:35 â Conclusion.
