Summary: Do AI chatbots truly understand the world, or are they just repeating text? A new study suggests that AI models develop a mathematical “understanding” of real-world constraints. By using mechanistic interpretability, essentially neuroscience for AI, researchers found that models generate distinct internal “brain states” to categorize events as commonplace, unlikely, impossible, or nonsensical. These
Abby Alder, Jenni Steigler, Alfredo Mendez, and Celeste Bean, the four MBA student co-founders of AI@GSB At most business schools, artificial intelligence is entering the curriculum through lectures, electives, and case studies. At Stanford Graduate School of Business, it is showing up as something more urgent and far more practical: a working skill students are
Lending Is Reaching An Inflection Point More than 80% of financial services (FS) AI decision‑makers plan to increase investments in both predictive AI and generative AI (genAI), with most firms expecting double‑digit growth. The immediate focus for the majority of FS leaders remains pragmatic: scaling origination, reducing friction caused by handoffs, and improving risk control.
Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets Aaryan Gupta, Rishi Saket, Aravindan Raghuveer An Evolutionary Perspective on Modes of Learning in Transformers Alexander Y. Ku, Thomas L. Griffiths, Stephanie C.Y. Chan An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPs Haolin Liu, Chen-Yu Wei, Julian Zimmert ATLAS: Adaptive Transfer Scaling Laws for
Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of quantum computing. Credit: Shutterstock Quantum computing is giving AI a major boost in predicting complex, chaotic systems. The new hybrid approach is more accurate, more stable, and far more efficient. Researchers at UCL
Sustainability and public interest Does artificial intelligence have more positive or negative consequences for society and the planet? Theresa Züger and her research team have developed an audit method to answer this question for individual AI projects. In this interview, she discusses why AI can be problematic even when it is used in projects with
An artificial intelligence-powered clinical decision support platform designed specifically for interventional radiologists launched last week during the Society of Interventional Radiology’s annual conference. VIRad.AI was developed to assist interventional rads in building procedural planning and clinical decision-making skills. Developed by Founder Syed Aziz Rahman, MD, a board-certified diagnostic and interventional radiologist, the platform was trained
Credit: nopparit / iStock / Getty Images SAN DIEGO – A new AI model applied to routine pathology slides accurately predicts outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC). The study was study presented at the American Association for Cancer Research (AACR) Annual Meeting. “Immunotherapy has transformed cancer
Editor’s Note: 4/20 content is a part of The Sun’s joke issue and contains exaggerated and factually inaccurate information. For the past year, The Cornell Daily Sun has had a strict no-AI policy. Our reasoning behind this was simple: our writers are simply too at-risk of forming parasocial relations with the charming, sycophantic machines. Sitting
