Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University. Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation, we discuss the goal of Genevera's talk, the issues surrounding reproducibility in Machine Learning, and much more!

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Are Large Language Models a Path to AGI? with Ben Goertzel - #625

Are Large Language Models a Path to AGI? with Ben Goertzel - #625

Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his pr...

17 Apr 202359min

Open Source Generative AI at Hugging Face with Jeff Boudier - #624

Open Source Generative AI at Hugging Face with Jeff Boudier - #624

Today we’re joined by Jeff Boudier, head of product at Hugging Face 🤗. In our conversation with Jeff, we explore the current landscape of open-source machine learning tools and models, the recent shi...

11 Apr 202333min

Generative AI at the Edge with Vinesh Sukumar - #623

Generative AI at the Edge with Vinesh Sukumar - #623

Today we’re joined by Vinesh Sukumar, a senior director and head of AI/ML product management at Qualcomm Technologies. In our conversation with Vinesh, we explore how mobile and automotive devices hav...

3 Apr 202339min

Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622

Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622

Today we’re joined by Anastasis Germanidis, Co-Founder and CTO of RunwayML. Amongst all the product and model releases over the past few months, Runway threw its hat into the ring with Gen-1, a model ...

27 Mars 202349min

Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yo...

20 Mars 202351min

Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620

Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620

Today we’re joined by Anna Ivanova, a postdoctoral researcher at MIT Quest for Intelligence. In our conversation with Anna, we discuss her recent paper Dissociating language and thought in large langu...

13 Mars 202345min

Robotic Dexterity and Collaboration with Monroe Kennedy III - #619

Robotic Dexterity and Collaboration with Monroe Kennedy III - #619

Today we’re joined by Monroe Kennedy III, an assistant professor at Stanford, director of the Assistive Robotics and Manipulation Lab, and a national director of Black in Robotics. In our conversation...

6 Mars 202352min

Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618

Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618

Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Da...

27 Feb 202343min

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