Microsoft Research Focus – Edition #98
Video playback requires cookie consent What’s new in research? In this edition of Microsoft Research Focus, based on the Research Focus newsletter (opens in…
Summary
Video playback requires cookie consent What’s new in research? In this edition of Microsoft Research Focus, based on the Research Focus newsletter (opens in new tab), host Anson Ho shares some of the latest news and cutting-edge research from across Microsoft—from bringing AI-powered universal translation closer to reality and solving a 31-year-old mathematical challenge to making AI coding agents faster and more efficient. Catch up on the ideas, tools, and discoveries researchers are exploring today and get a quick look at what’s coming next. Related links: A research intern’s journey from computer vision to physical intelligence at Microsoft Research Asia – Tokyo Breaking the Language Barrier — How AI Speech Translation Is Rewriting Our Digital Lives Solving a 31-year-old grand challenge in mathematics – the KLS conjecture Benchmarking Long-Horizon Agent Context Compaction with CompactionBench Latent Core Tokenizer: Compress, but Meaningfully Chapters 0:35: Internship: Growing expertise, building community (opens in new tab) 1:28: Breaking the language barrier with AI (opens in new tab) 2:10: Solving a 31-year-old mathematics challenge (opens in new tab) 2:56: Making AI coding agents more efficient (opens in new tab) 3:57: Improving AI tokenization across 104 languages (opens in new tab) Subscribe to the Microsoft Research Podcast: Apple Podcasts Email Android Spotify RSS Feed Transcript [MUSIC] This is Microsoft Research Focus, your quick look at news and cutting-edge research from across Microsoft.
Positives
- In this edition of Microsoft Research Focus, based on the Research Focus newsletter (opens in new tab), host Anson Ho shares some of the latest news and cutting-edge research from across Microsoft—from bringing AI-powered universal translation closer to reality and solving a 31-year-old mathematical challenge to making AI coding agents faster and more efficient.
- Related links: A research intern’s journey from computer vision to physical intelligence at Microsoft Research Asia – Tokyo Breaking the Language Barrier — How AI Speech Translation Is Rewriting Our Digital Lives Solving a 31-year-old grand challenge in mathematics – the KLS conjecture Benchmarking Long-Horizon Agent Context Compaction with CompactionBench Latent Core Tokenizer: Compress, but Meaningfully Chapters 0:35: Internship: Growing expertise, building community (opens in new tab) 1:28: Breaking the language barrier with AI (opens in new tab) 2:10: Solving a 31-year-old mathematics challenge (opens in new tab) 2:56: Making AI coding agents more efficient (opens in new tab) 3:57: Improving AI tokenization across 104 languages (opens in new tab) Subscribe to the Microsoft Research Podcast: Apple Podcasts Email Android Spotify RSS Feed Transcript [MUSIC] This is Microsoft Research Focus, your quick look at news and cutting-edge research from across Microsoft.
- I’m Anson Ho, and these are some of the latest advances we’re tracking.
- [MUSIC FADES] Internship: Growing expertise, building community At the Microsoft Research lab in Tokyo, research intern Lilika Makabe found opportunities to grow her expertise while helping to shape a new research community.
Risks & concerns
- In this edition of Microsoft Research Focus, based on the Research Focus newsletter (opens in new tab), host Anson Ho shares some of the latest news and cutting-edge research from across Microsoft—from bringing AI-powered universal translation closer to reality and solving a 31-year-old mathematical challenge to making AI coding agents faster and more efficient.
- Related links: A research intern’s journey from computer vision to physical intelligence at Microsoft Research Asia – Tokyo Breaking the Language Barrier — How AI Speech Translation Is Rewriting Our Digital Lives Solving a 31-year-old grand challenge in mathematics – the KLS conjecture Benchmarking Long-Horizon Agent Context Compaction with CompactionBench Latent Core Tokenizer: Compress, but Meaningfully Chapters 0:35: Internship: Growing expertise, building community (opens in new tab) 1:28: Breaking the language barrier with AI (opens in new tab) 2:10: Solving a 31-year-old mathematics challenge (opens in new tab) 2:56: Making AI coding agents more efficient (opens in new tab) 3:57: Improving AI tokenization across 104 languages (opens in new tab) Subscribe to the Microsoft Research Podcast: Apple Podcasts Email Android Spotify RSS Feed Transcript [MUSIC] This is Microsoft Research Focus, your quick look at news and cutting-edge research from across Microsoft.