NLP for Mapping Physics Research with Matteo Chinazzi - #353

NLP for Mapping Physics Research with Matteo Chinazzi - #353

Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University focused on in his paper Mapping the Physics Research Space: a Machine Learning Approach. In addition to predicting the trajectory of physics research, Matteo is also active in the computational epidemiology field. His work in that area involves building simulators that can model the spread of diseases like Zika or the seasonal flu at a global scale.

Episoder(782)

Stable Diffusion & Generative AI with Emad Mostaque - #604

Stable Diffusion & Generative AI with Emad Mostaque - #604

Today we’re excited to kick off our 2022 AWS re:Invent series with a conversation with Emad Mostaque, Founder and CEO of Stability.ai. Stability.ai is a very popular name in the generative AI space at...

12 Des 202242min

Exploring Large Language Models with ChatGPT - #603

Exploring Large Language Models with ChatGPT - #603

Today we're joined by ChatGPT, the latest and coolest large language model developed by OpenAl. In our conversation with ChatGPT, we discuss the background and capabilities of large language models, t...

8 Des 202236min

Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602

Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602

Are AI-generating algorithms the path to artificial general intelligence(AGI)?  Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and...

5 Des 202256min

Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601

Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601

Today we’re joined by Cedric Cocaud, the chief engineer of the Wayfinder Group at Acubed, the innovation center for aircraft manufacturer Airbus. In our conversation with Cedric, we explore some of th...

28 Nov 202254min

Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600

Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600

Today we’re joined by Heather Nolis, a principal machine learning engineer at T-Mobile. In our conversation with Heather, we explored her machine learning journey at T-Mobile, including their initial ...

21 Nov 202243min

Sim2Real and Optimus, the Humanoid Robot with Ken Goldberg - #599

Sim2Real and Optimus, the Humanoid Robot with Ken Goldberg - #599

Today we’re joined by return guest Ken Goldberg, a professor at UC Berkeley and the chief scientist at Ambi Robotics. It’s been a few years since our initial conversation with Ken, so we spent a bit o...

14 Nov 202247min

The Evolution of the NLP Landscape with Oren Etzioni - #598

The Evolution of the NLP Landscape with Oren Etzioni - #598

Today friend of the show and esteemed guest host John Bohannon is back with another great interview, this time around joined by Oren Etzioni, former CEO of the Allen Institute for AI, where he is curr...

7 Nov 202253min

Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597

Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597

Over the last few years, it’s been established that your ML team needs at least some basic tooling in order to be effective, providing support for various aspects of the machine learning workflow, fro...

31 Okt 202247min

Populært innen Politikk og nyheter

giver-og-gjengen-vg
aftenpodden
aftenpodden-usa
forklart
lydartikler-fra-aftenposten
popradet
fotballpodden-2
stopp-verden
dine-penger-pengeradet
det-store-bildet
rss-gukild-johaug
nokon-ma-ga
hanna-de-heldige
rss-ness
e24-podden
aftenbla-bla
i-retten
frokostshowet-pa-p5
rss-dannet-uten-piano
grasoner-den-nye-kalde-krigen