Monday, October 28, 2024
Career Prep Tip: Teaching Entrepreneurship Students to Self-Teach With AI - Ashley Mowreader, Inside Higher Ed
Meta’s unbelievable AI breakthrough - Martin Crowley, AI Tool Report
Sunday, October 27, 2024
Keeping artificial intelligence real - Navrina Singh, McKinsey Digital
Harnessing the potential of artificial intelligence in New Jersey: The time is now - written by ChatGPT, edited by Andrew Zwicker, NJ.com
By investing in AI education for all students, from K-12 through higher education, the state will cultivate a workforce prepared to engage with and build on these new technologies. By fostering AI research and development in our four-year universities, New Jersey will create a talent pipeline with the skills and creativity to invent the next generation of problem-solving AI tools and fill high-demand roles across the industry spectrum. Similarly, we must invest in our community colleges, ensuring equitable access to the AI education and training that will be needed to fill jobs that don’t require an advanced degree. Community colleges will also be vital to quickly and nimbly providing opportunities for all workers to obtain new AI skills as they emerge, and to retrain workers whose jobs do disappear.
Saturday, October 26, 2024
NotebookLM - Google Blog
NotebookLM is a tool for understanding, built with Gemini 1.5. When you upload your sources, it instantly becomes an expert, grounding its responses in your material and giving you powerful ways to transform information. And since it’s your notebook, your personal data is never used to train NotebookLM. Millions of people are already using NotebookLM to understand and engage with complex information, and today we’re removing the product’s “Experimental” label and releasing another round of features.
Embodied AI - Ray Schroeder, Inside Higher Ed
Friday, October 25, 2024
Not using AI is “disservice” to students - Polly Nash, the PIE
OpenAI unveils experimental ‘Swarm’ framework, igniting debate on AI-driven automation - Michael Nuñez, Venture Beat
Thursday, October 24, 2024
Adobe aims to teach AI, online content skills to 30 million - Steven Melendez, Fast Company
Scientists design new 'AGI benchmark' that indicates whether any future AI model could cause 'catastrophic harm' - Keumars Afifi-Sabet, Live Science
Wednesday, October 23, 2024
The AI Revolution Is Coming for Your Non-Union Job - Molly Kinder, Mark Muro, & Xavier de Souza Briggs, Time
OpenAI’s Swarm AI agent framework: Routines and handoffs - Bryson Masse, Venture Beat
Tuesday, October 22, 2024
Reimagining the future of AI in the education ecosystem - Fareed Kaviani, Monash University
Google's Sycamore quantum computer chip can now outperform the fastest supercomputers, new study suggests - Keumars Afifi-Sabet, Live Science
Quantum computers can outpace our fastest classical computers in very specific areas, a groundbreaking experiment suggests. Google Quantum AI researchers have discovered a "stable computationally complex phase" that can be achieved with existing quantum processing units (QPUs), also known as quantum processors. This means that when quantum computers enter this specific "weak noise phase," they can perform computationally complex calculations that outpace the performance of the fastest supercomputers. The research — which was led by Alexis Morvan, a quantum computing researcher at Google — was published Oct. 9 in the journal Nature.