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Search complete. 41 mentions across 32 episodes found for "Microsoft Research".

Sep 14, 2026

Beny RubinsteinGUEST
14:41
And it's certain, of course, Microsoft, I think I-- There's a book called "Everything I Learned in Business, I Learned from Microsoft." It's a former colleague of mine who wrote it, and I, I, I believe that most things I learned beyond work and I learned at Microsoft.
Beny RubinsteinGUEST
14:52
And so when I joined Microsoft Research to, to do my dream job, right? To, to, to lead the transformative projects in- including cloud and AI in healthcare, I had to land in different geographies.
Beny RubinsteinGUEST
15:03
I was doing all the international work, so Canada, UK.
Beny RubinsteinGUEST
15:06
And again, get to places where I don't know anyone, I don't know how they operate here, I don't know the culture, I don't know the legislation.

12 MINS LATER

Anil BajpaiHOST
27:10
This is what, uh, I learned from the other discussion.
Beny RubinsteinGUEST
27:13
That's the most common mistake people make, uh, or assumption they make about how AI will help them is AI is not there to do your job, it's there to challenge you.
Beny RubinsteinGUEST
27:23
Actually, one of the papers I, I loved and I cited on my last, uh, paper, uh, it comes from Microsoft, uh, Cambridge, Microsoft Research, and the title was so brilliant.
Beny RubinsteinGUEST
27:31
I, I-- before I read the paper, I was already in love with it.
Todd BishopHOST
39:11
D, Microsoft Tether, 2006.
Todd BishopHOST
39:14
This was a Microsoft research project, basically like a little Bluetooth dongle, and it was later popularized, of course, by Apple as the AirTag.
Todd BishopHOST
39:24
and HoloLens 2016, which was later popularized by Apple as the Vision Pro.
Todd BishopHOST
39:30
So A, Microsoft Reader, B, Tablet PC, C, Spot Smartwatch, D, Microsoft Tether, or E, the HoloLens.
John CookHOST
42:01
It could have been
Todd BishopHOST
42:02
like a TechFest project.
Todd BishopHOST
42:03
I mean, remember back in the day, Microsoft Research TechFest? That was like a cool thing that you got to see.
Todd BishopHOST
42:09
Anyway,
Ifeoma AjunwaGUEST
12:06
So, you know, when I started the book, The Quantified Worker, it really came out of an article that I wrote while I was a research intern at Microsoft.
Ifeoma AjunwaGUEST
12:16
I was at Microsoft Research working with Kate Crawford.
Ifeoma AjunwaGUEST
12:20
And we wrote an article with Jason Schultz as well, basically looking at the notion that With all the AI technologies that we now have, we actually have limitless surveillance at work.
Ifeoma AjunwaGUEST
12:38
So that was the title of the article, Limitless Surveillance.
Herman PoppleberryHOST
3:56
It was called Omnitrack.
Herman PoppleberryHOST
3:57
an Android self-tracking system built by researchers at Seoul National University and Microsoft Research, among others.
Herman PoppleberryHOST
4:04
Their opening premise was almost word-for-word Daniel's thesis.
Herman PoppleberryHOST
4:08
They wrote that despite the vast number of available tools, it's still challenging for self-trackers to find apps that suit their unique tracking needs.
Anthony PowerHOST
33:29
Yes, Soluna have welcomed another new hire, Neil Robinson, the VP of Construction Management.
Anthony PowerHOST
33:34
He joined from Microsoft Research as Director of AI Construction.
Anthony PowerHOST
33:39
He'll support Soluna's data center development team as they advance their AI infrastructure pipeline.
Anthony PowerHOST
33:44
Now, interestingly enough, I did have a look to see his background.
Shiv RaoGUEST
31:37
Yeah, I remember just feeling incredibly restless once I fell in love with this idea that really underpins everything that we've been building at Abridged.
Shiv RaoGUEST
31:46
We had been doing some research at UPMC with Microsoft Research, with MSR, and it was all around use cases for AI in healthcare.
Shiv RaoGUEST
31:54
And, you know, we were circling any number of ideas, including this idea around helping doctors.
Shiv RaoGUEST
31:59
But it always felt like there was a bigger way to think about this, that there was a... you realize that this signal, those conversations between professionals and patients are upstream of so many workflows, so many systems of record, so many outcomes that we're trying to improve, whether it's on the cost side, experiences, whether it's clinical outcomes.
David GerardHOST
0:16
Microsoft isn't just the company that bought all the game studios so it could run them into the ground.
David GerardHOST
0:23
Microsoft Research is hard at work exploring new realms in how to make gaming suck.
David GerardHOST
0:31
Welcome to Project Vega.
David GerardHOST
0:34
The headline is literally Vibe Gaming: Unlocking New Gaming Experiences With Agentic AI.
Arun KrishnaswamyGUEST
30:43
That's a great question.
Arun KrishnaswamyGUEST
30:45
So it largely talks about my background of why I got into this, right? So when we were, the founding team, when we were in, I actually built, my entire background is like, you know, Yahoo, Microsoft Research.
Arun KrishnaswamyGUEST
30:57
And then my team was responsible for building the experimentation engine in Microsoft.
Arun KrishnaswamyGUEST
31:03
And then at Visa, my team built the world's largest data lake and stuff.
David RothschildGUEST
2:04
Well, thank you for having me.
David RothschildGUEST
2:05
My name is David Rothschild, and I am an economist, a senior principal researcher at Microsoft Research here in New York City.
David RothschildGUEST
2:12
And I have varied types of workflows, one being work on understanding the market for news and information, Another in understanding AI's role in productivity, but more generally, the economy and society.
David RothschildGUEST
2:28
And then most pertinently today, specifically narrowing in on this question of AI and productivity for survey research, having done a lot of work in understanding both kind of practical use cases, as well as the larger theoretical implications.
Richard HoganHOST
1:36
And I know that people have covered this ad nauseum, but there has been a new report released earlier on this week from both OpenAI and Meta, which has shed some additional information.
Richard HoganHOST
1:47
And I'm stealing a leaf out of David's book for a very quick Microsoft research update on agentic SDLC or use of agentic agents within a development lifecycle.
Richard HoganHOST
1:57
Anyway, we started off with David last time, so I will hand it across to Cyrus to kick us off with the first of his topics, which I'm assuming And I was wrong last time.
Richard HoganHOST
2:08
It will be the IBM Z updates for ARM, et cetera.

21 MINS LATER

Richard HoganHOST
22:51
And to add another area where we have to think about that now is an interesting piece.
Richard HoganHOST
22:59
Second one I had here, and again, as I said, I was taking a leaf out of David's book for this one.
Richard HoganHOST
23:05
So this is from Microsoft Research, and this is in combination with the University of Illinois, and they published a first, well, I think for them anyway, large-scale look at what coding agents actually do in production rather than in a benchmark.
Richard HoganHOST
23:21
So basically they took a full week of GitHub Copilot traces from June.

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