Microsoft Research Cambridge
Nouvelles et reportages
We’re excited to be a part of #NeurIPS2024! Explore the future of AI with over 100 groundbreaking papers, including oral and spotlight sessions, on reinforcement learning, advanced language model training, and multilingual, culturally inclusive benchmarks.
Dans l’actualité | Windows Experience Blog
Phi Silica, small but mighty on-device SLM
Today we will share how the Applied Sciences team used a multi-interdisciplinary approach to achieve a breakthrough in power efficiency, inference speed and memory efficiency for a state-of-the-art small language model (SLM), Phi Silica.
Dans l’actualité | TechTarget
Project Silica takes archive data through the looking glass
As data grows, so does the need to store it. Microsoft’s Project Silica is offering an archive alternative to tape with the promise of permanence.
Dans l’actualité | Communications of the ACM
Addressing the Data Storage Crisis
Our increasingly digitized world is creating more data every year, including videos from ubiquitous smart phones, observations from billions of sensors and surveillance cameras, output from artificial intelligence, and much more. Until now, exponential growth in data storage capacity has…
Research Focus: Week of October 28, 2024
New Research | FLASH: Workflow automation agent for diagnosing recurring incidents; METAREFLECTION: Learning instructions for language agents using past reflections; Boosting LLM training efficiency through faster communication between GPUs; and more.
Dans l’actualité | Electro Optics
Ariel Gomez Diaz named one of the Photonics100 for 2025
Microsoft Research senior optical scientist Ariel Gomez Diaz was selected for the 2025 Photonics100 list, which celebrates individuals driving innovation in photonics and optical technology worldwide. Ariel’s work explores revolutionary optical technologies with tangible applications for cloud infrastructure.
Find My Things: New teachable AI tool helps blind and low-vision people locate lost personal items
| Martin Grayson, Daniela Massiceti, Cecily Morrison, et Karolina Pakėnaitė
Teachable AI is personalizing accessibility for people with disabilities, giving them the power to train AI-based tools and apps to provide help in their daily lives. Find My Things, available with the Seeing AI app, is a great example.
Abstracts: September 30, 2024
| Amber Tingle, Daniela Massiceti, et Martin Grayson
The personalizable object recognizer Find My Things was recently recognized for accessible design. Researcher Daniela Massiceti and software development engineer Martin Grayson talk about the research project’s origins and the tech advances making it possible.
Microsoft Research Forum Episode 4: The future of multimodal models, a new “small” language model, and other AI updates
Explore multimodal & small language models, plus advanced benchmarks for AI evaluation. Microsoft researchers are working on breakthroughs in weather prediction, materials design, even a new kind of computer for AI inference and hard optimization problems.