Unlocking the future of computing: The Analog Iterative Machine’s lightning-fast approach to optimization
| Hitesh Ballani
Picture a world where computing is not limited by the binary confines of zeros and ones, but instead, is free to explore the vast possibilities of continuous value data. Over the past three years a team of Microsoft researchers has…
In the news | Microsoft News Centre UK
How AI is helping to shrink waiting times for NHS cancer patients
The National Health Service at Addenbrooke’s Hospital in Cambridge is now able to plan radiotherapy treatments faster than in the past, thanks to AI advances that are cutting wait times. As the NHS approaches its 75th birthday, it continues to…
In the news | Finextra
Microsoft and Barclays test analog optical computer
Microsoft has enlisted Barclays to help it test the world’s first analog optical computer that uses photons and electrons to process continuous value data.
In the news | Microsoft Innovation
Building a computer that solves practical problems at the speed of light
There’s an old saying: When the only tool you have is a hammer, every problem looks like a nail. Sometimes referred to as “the law of the instrument,” that hammer-and-nail idea is a common pitfall in research; when you’re not…
In the news | BBC Newsnight
AI cuts treatment time for cancer radiotherapy
A new type of artificial-intelligence technology that cuts the time cancer patients must wait before starting radiotherapy is to be offered at cost price to all NHS trusts in England. It helps doctors calculate where to direct the therapeutic radiation…
Research Focus: Week of June 19, 2023
In this issue: Our new Responsible AI Maturity Model; FoundWright helps “re-find” web pages; Trace-guided Inductive Synthesis of Recursive Functional Programs; a wait-free algorithm for weak reference counting; and new research on concurrency testing.
In the news | This American Life
Greetings, People Of Earth: First Contact
This American Life’s David Kestenbaum (NPR) interviewed Peter Lee, Sébastien Bubeck, Ece Kamar, and Ronen Eldan about their experiments with GPT-4 and the emerging capabilities of large language models, using examples from the “Sparks” paper.
DeepSpeed ZeRO++: A leap in speed for LLM and chat model training with 4X less communication
| DeepSpeed Team and Andrey Proskurin
Large AI models are transforming the digital world. Generative language models like Turing-NLG, ChatGPT, and GPT-4, powered by large language models (LLMs), are incredibly versatile, capable of performing tasks like summarization, coding, and translation. Similarly, large multimodal generative models like…
Collaborators: Renewable energy storage with Bichlien Nguyen and David Kwabi
| Gretchen Huizinga, Bichlien Nguyen, and David Kwabi
Researcher Bichlien Nguyen is an organic electrochemist turned technologist. Professor David Kwabi is a mechanical engineer. Their work uses ML to help discover organic compounds for renewable energy storage. Learn about their collaboration.