Latest from Google AI – Can large language models identify and correct their mistakes?

Posted by Gladys Tyen, Intern, Google Research LLMs are increasingly popular for reasoning tasks, such as multi-turn QA, task completion, code generation, or mathematics. Yet much like people, they do not always solve problems correctly on the first try, especially on tasks for which they were not trained. Therefore, for such systems to be most…

Latest from MIT Tech Review – Deploying high-performance, energy-efficient AI

Although AI is by no means a new technology there have been massive and rapid investments in it and large language models. However, the high-performance computing that powers these rapidly growing AI tools — and enables record automation and operational efficiency — also consumes a staggering amount of energy. With the proliferation of AI comes…

Latest from MIT Tech Review – Bringing breakthrough data intelligence to industries

As organizations recognize the transformational opportunity presented by generative AI, they must consider how to deploy that technology across the enterprise in the context of their unique industry challenges, priorities, data types, applications, ecosystem partners, and governance requirements. Financial institutions, for example, need to ensure that data and AI governance has the built-in intelligence to…

O’Reilly Media – Can Language Models Replace Compilers?

Kevlin Henney and I recently discussed whether automated code generation, using some future version of GitHub Copilot or the like, could ever replace higher-level languages. Specifically, could ChatGPT N (for large N) quit the game of generating code in a high-level language like Python, and produce executable machine code directly, like compilers do today? It’s…

Latest from Google AI – Responsible AI at Google Research: User Experience Team

Posted by Ayça Çakmakli, UX Lead, Google Research, Responsible AI and Human Centered Technology Team Google’s Responsible AI User Experience (Responsible AI UX) team is a product-minded team embedded within Google Research. This unique positioning requires us to apply responsible AI development practices to our user-centered user experience (UX) design process. In this post, we…

Latest from MIT : Multiple AI models help robots execute complex plans more transparently

Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out “pick up the first dirty dish,” or “wash that plate with a sponge,” because each of these miniature steps within the chore feels intuitive. While we can routinely complete each step without much thought,…

Latest from MIT : Technique could efficiently solve partial differential equations for numerous applications

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function. To solve these difficult equations, researchers use high-fidelity numerical solvers, which can be very time-consuming and computationally expensive to…

Latest from MIT Tech Review – AI for everything: 10 Breakthrough Technologies 2024

WHO Google, Meta, Microsoft, OpenAI WHEN Now When OpenAI launched a free web app called ChatGPT in November 2022, nobody knew what was coming. But that low-key release changed everything. By January, ChatGPT had become the fastest-growing web app ever, offering anyone with a browser access to one of the most powerful neural networks ever…