Latest from Google AI – The world’s first braiding of non-Abelian anyons

Posted by Trond Andersen and Yuri Lensky, Research Scientists, Google Quantum AI Team Imagine you’re shown two identical objects and then asked to close your eyes. When you open your eyes, you see the same two objects in the same position. How can you determine if they have been swapped back and forth? Intuition and…

Latest from MIT Tech Review – Scaling MLOps for the enterprise with multi-tenant systems

Multi-tenant systems are invaluable for modern, fast-paced businesses. These systems allow multiple users and teams to access and use them at the same time. Machine learning operations (MLOps) teams, in particular, benefit greatly from using multi-tenant systems. MLOps teams that don’t leverage multi-tenant systems can fall victim to inefficiency, inconsistency, duplicative work, and bumpy onboarding—adding…

O’Reilly Media – AI’s Opaque Box Is Actually a Supply Chain

Understanding AI’s mysterious “opaque box” is paramount to creating explainable AI. This can be simplified by considering that AI, like all other technology, has a supply chain. Knowing what makes up the supply chain is critical to enforcing the security of the AI system, establishing trust with the consumer of the AI’s output, and protecting…

Latest from MIT Tech Review – Meta’s AI leaders want you to know fears over AI existential risk are “ridiculous”

It’s a really weird time in AI. In just six months, the public discourse around the technology has gone from “Chatbots generate funny sea shanties” to “AI systems could cause human extinction.” Who else is feeling whiplash?  My colleague Will Douglas Heaven asked AI experts why exactly people are talking about existential risk, and why…

Latest from MIT Tech Review – How existential risk became the biggest meme in AI

Who’s afraid of the big bad bots? A lot of people, it seems. The number of high-profile names that have now made public pronouncements or signed open letters warning of the catastrophic dangers of artificial intelligence is striking. Hundreds of scientists, business leaders, and policymakers have spoken up, from deep learning pioneers Geoffrey Hinton and…

Latest from MIT : Envisioning the future of computing

How will advances in computing transform human society? MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize — an essay contest in which they were challenged to imagine ways that computing technologies could improve our lives, as well as the pitfalls and dangers associated with them. Offered for…

Latest from Google AI – Speed is all you need: On-device acceleration of large diffusion models via GPU-aware optimizations

Posted by Juhyun Lee and Raman Sarokin, Software Engineers, Core Systems & Experiences The proliferation of large diffusion models for image generation has led to a significant increase in model size and inference workloads. On-device ML inference in mobile environments requires meticulous performance optimization and consideration of trade-offs due to resource constraints. Running inference of…

O’Reilly Media – The Alignment Problem Is Not New

“Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms. Among the possible risks leading to that outcome is what is…