Are We All Wrong About AI?
20 Sep 2024 (24 days ago)
AI in Chip Manufacturing
- Nvidia has developed an AI-powered platform called Q-litho that accelerates the lithography process in chip manufacturing by up to 40 times, reducing the time required to create photo masks from weeks to hours. (4m49s)
- This AI-driven approach, already being used by companies like TSMC and ASML, is enabling the development of smaller and more powerful semiconductors, pushing the boundaries of Moore's Law. (5m19s)
AI in Environmental Conservation
- Australia's kelp population has drastically declined, with Tasmania losing 95% of its original kelp. This loss impacts the ecosystem, as kelp sustains thousands of marine species. (7m21s)
- Google, in collaboration with CSIRO, IMAS, TNC, the Great Southern Reef Foundation, and the Kelp Alliance, is using AI to map and analyze the remaining kelp forests. This project uses Google Earth and Vertex AI to process satellite imagery and identify kelp, providing a comprehensive view of the ecosystem. (6m49s)
- AI is being used to analyze the genetic makeup of the surviving kelp to identify heat-resistant traits. This information will help researchers breed a more resilient kelp population that can withstand rising ocean temperatures. (9m29s)
AI in Prosthetics
- Several companies, including Autobook, Rewalk, Össur, and Atom Limbs, are utilizing AI to develop smarter and more functional prosthetic limbs. (12m33s)
AI in Healthcare
- AI is being implemented in healthcare to enhance diagnosis, treatment, and management on a global scale, impacting sectors like medical equipment and assistance. (14m55s)
- AI is revolutionizing drug discovery by expediting research, reducing costs, and increasing success rates, with companies like Recursion Pharmaceuticals, Benevolent AI, and Atomwise at the forefront. (16m58s)
- Researchers at the Children's National Hospital in Washington have created an AI tool to diagnose rheumatic heart disease in children. (18m23s)
AI in Battery Technology
- A collaborative effort between Microsoft and the Pacific Northwest National Laboratory used AI to identify 23 materials that hold promise for next-generation batteries. (20m22s)
- In early 2024, Microsoft's Nathan Baker and his colleagues used AI to sift through 23.6 million candidate materials and created a battery that required 70% less lithium than other current designs. (20m30s)
Career Guidance
- Viewers can receive a free career guide from 8000 hours by visiting 8000hour.org/coldfusion. (23m45s)
- The guide helps individuals learn about high-impact careers, discover new career paths, and create an action plan. (23m50s)
Conclusion
- The speaker, Toogo, hopes viewers learned something from the video and are less likely to view AI negatively. (24m3s)