CSAIL

For a full, uncut video version of this show (shot in Professor Andreas' MIT CSAIL office!), watch here: https://www.youtube.com/watch?v=QBV5Bj_NnbA
 
MIT CSAIL Associate Professor Jacob Andreas walks listeners through how LLMs like ChatGPT evolved from academic curiosities to industry-disrupting technologies. 
 
Reflecting on the transformations he has observed in AI research, Professor Andreas discusses how some ideas—like linking NLP research to cognitive science—have taken a backseat, while others—like the importance of large-scale training data—remain central. 
 
He offers insights on AI use cases, the emergence of models like DeepSeek, and the critical role of human oversight in AI deployment. Acknowledging both the excitement and concerns surrounding AI, Professor Andreas believes that educators and industry alike face a challenge in keeping pace with the ‘moving target’ of AI progress.
 
Plus: learn how AI can be used to decode the language of sperm whales!
 
About the guest: Professor Andreas is an MIT EECS Associate Professor and CSAIL PI. Before joining MIT, he earned his PhD at Berkeley. His group's research focuses on three themes: building machine learning models that learn language in human-like ways, enabling the use of language as a general-purpose tool for building intelligent systems, and developing techniques for understanding machine learning models using language. His group envisions a future built around training, explaining, and interacting with intelligent systems for users of all the world's languages. 
 
Learn more about Professor Jacob Andreas and his research here: https://www.mit.edu/~jda/ 
Want to know more about Professor Andreas' work on the language of sperm whales? Read here: https://news.mit.edu/2024/csail-ceti-explores-sperm-whale-alphabet-0507  
 
MIT's CSAIL Alliances Podcast is your guide to how AI & computer science research impact how we live, work, play, and learn. Listener discounts, meet the host, and more: csail.mit.edu/podcast

AI's Language Leap: MIT CSAIL Associate Professor Jacob Andreas Explores NLP and LLMs

What happens when every company becomes a tech company—and the geeks take the wheel?

Renowned economist, bestselling author, and MIT Principal Research Scientist Andrew McAfee unpacks how AI is transforming corporate strategy—from cement makers to software engineers. Drawing on insights from his book The Geek Way and his startup Workhelix, McAfee shares what he’s hearing from executives around the world, where AI is delivering real ROI, and why understanding how we measure impact is just as important as what we measure.

From call centers to material science labs, from spreadsheet power users to the future of education, McAfee examines how generative AI is changing who wins—and how people can avoid getting left behind. He also weighs in on the biggest AI misconceptions, the risks that actually matter, and why Silicon Valley still holds the crown in the age of innovation.

Topics include:
The management playbook of the future
Real-world studies on AI’s impact in the workplace
Why AI helps some workers more than others
The “credibility revolution” in measuring ROI
What companies get wrong about scaling AI
Whether writing—and even coding—will still matter in 10 years

Andrew McAfee is the Co-Director of the IDE and a Principal Research Scientist at the MIT Sloan School of Management. His research investigates how information technology changes the way companies perform, organize themselves, and compete. He is a NYT bestselling author and writes a widely read blog, which is at times one of the 10,000 most popular in the world. Prior to joining MIT Sloan, McAfee was a professor at Harvard Business School. 

Connect with CSAIL Alliances:
On our site: https://cap.csail.mit.edu/about-us/meet-our-team
On X: https://x.com/csail_alliances
On LinkedIn: https://linkedin.com/company/mit-csail

#MITCSAIL #AI #GenerativeAI #Leadership #Technology #CSAILPodcast


AI's Hidden Business Effects: MIT Principal Research Scientist Andrew McAfee Explores how AI is Affecting Enterprise

Finches, zebras, Darwin... and AI? 🧠🌍

Two centuries after Darwin explored the Galápagos, artificial intelligence is transforming how we study and protect the natural world, rapidly expanding what’s possible in biodiversity and ecology research. In this episode, MIT CSAIL Assistant Professor Sara Beery explains how AI is unlocking new possibilities in conservation, from identifying endangered species to analyzing ecosystem health at scale. AI can help biologists collect, process, and interpret enormous volumes of data, unlocking patterns and offering insights that were simply not possible without modern technology.
Beery shares her journey, from tagging snow leopards in college to leading global research at the intersection of computer vision and ecology. But she sounds a note of caution: AI has no values of its own and must be paired with human values to tackle the complex tradeoffs behind biodiversity decisions. As these tools become more powerful, it’s up to us to decide how they’re used, and what (or who) we prioritize.

🎧 Topics include:
Using AI to analyze millions of wildlife images
Why computer vision is revolutionizing species identification
The ethical dilemmas behind conservation decisions
How researchers are using AI to inform policy and protect ecosystems


🔗Learn more about Professor Beery:

🌐 Website: https://beerys.github.io/ or her CSAIL page https://www.csail.mit.edu/person/sara-beery

Connect with CSAIL Alliances:
On our site: https://cap.csail.mit.edu/about-us/meet-our-team
On X: https://x.com/csail_alliances
On LinkedIn: https://linkedin.com/company/mit-csail

#MITCSAIL #AI #Conservation #Biology #Technology #CSAILPodcast

How AI Can Help Save the Natural World, with MIT CSAIL Assistant Professor Sara Beery

Can your phone make you a safer driver? Or is it part of the problem?

MIT CSAIL Professor Sam Madden shares the origin story of Cambridge Mobile Telematics, a CSAIL spinout using smartphones and AI to prevent car crashes and save lives. In this episode, Professor Madden joins host Kara Miller to explore how accelerometers, algorithms, and well-timed incentives are transforming how we understand and improve driver behavior.
Professor Madden reflects on surprising data trends, like why crash rates haven’t fallen despite better car tech, and how the ubiquitous smartphone became a key tool for reducing risk on the road. He also dives into how generative AI is reshaping software development, what it means for education and programming skills, and why trust and privacy remain top concerns when deploying AI across sensitive industries.

Covering distracted driving, autonomous vehicles, behavioral nudges, and business infrastructure, Professor Madden reveals what’s working and where the road ahead leads.

Topics include:
The history of Cambridge Mobile Telematics
The realities of traffic accidents
How your phone can track your driving safety
Turning your data into a narrative
The corrosive effects of phones

Learn more about Professor Madden on his website: https://db.csail.mit.edu/madden/ 
Or his CSAIL page: https://www.csail.mit.edu/person/sam-madden 
Read our case study on Cambridge Mobile Telematics: https://cap.csail.mit.edu/sites/default/files/2023-05/CMT_Case%20Study%20Template_2022.pdf 

Connect with CSAIL Alliances:
On our site: https://cap.csail.mit.edu/about-us/meet-our-team
On X: https://x.com/csail_alliances
On LinkedIn: https://linkedin.com/company/mit-csail

Driving Behavior by Design: MIT CSAIL Professor Sam Madden on the Science of Safer Roads with AI

Cybersecurity expert and venture capitalist Andy Ellis breaks down why the smartest organizations are using AI to augment their workers, not replace them. Today’s AI systems are best used when they serve as “semi-pro” tools—fast, scalable, surprisingly effective, but still guided by some human oversight. In this conversation, he shares cautionary tales about hallucinations, prompt injections, unintended consequences, and outlines the common pitfalls he already sees companies falling into.

You’ll hear:
- How to minimize resistance and bring the workforce onboard when deploying AI tools.

- Why AI agents should be limited in scope and the advantage of stacking specialized agents which, acting together, enhance productivity and capacity.

- Why AI is good for generating content for specific purposes but not good at creating writing, art, or materials which will have lasting impact.

- How productivity “nag bots” can help workers get more done. 

Ellis sees this moment as the next SaaS-level transformation, arguing that the winners of today’s AI arms race will become the trillionaires of tomorrow. Fundamentally, he believes the best way to implement this transformative new technology is to let humans decide and the AIs act.

Connect with CSAIL Alliances:
On our site: cap.csail.mit.edu/about-us/meet-our-team
On X: x.com/csail_alliances
On LinkedIn: linkedin.com/company/mit-csail


Beyond the Hype: How AI is Actually Reshaping Business with Andy Ellis

Chris Miller, Tufts Professor and author,  explains how semiconductors—those tiny chips inside your phone, car, and coffee maker—have become the most critical technology in the world. Today’s global economy, military power, and AI breakthroughs all hinge on who makes the chips and where.
 
In this episode, Dr. Miller explores how the chip industry evolved from independent manufacturing giants to specialized global supply chains and why that’s both a strength and a vulnerability. He breaks down the growing competition between the U.S. and China, the geopolitical risk of relying on Taiwan, and why the future of AI depends not just on better software but on smarter, faster hardware.
 
💡 Topics Covered:
Why semiconductors are the backbone of modern technology
 
The shift from integrated chip companies to design vs. manufacturing specialization
 
How legacy companies like Intel lost ground and what it means for the U.S.
 
The U.S./China tech rivalry and supply chain vulnerabilities
 
AI’s explosive growth and the chip race driving it
 
The surprising role of immigration in America’s tech dominance
 
Why even automakers and retailers are becoming chip-aware
Learn more in Dr. Miller’s book, Chip War: The Fight for the World's Most Critical Technology: https://www.christophermiller.net/books

Connect with CSAIL Alliances: 
On our site: https://cap.csail.mit.edu/about-us/meet-our-team 
On LinkedIn: https://linkedin.com/company/mit-csail #MITCSAIL #AI #GenerativeAI #Leadership #Technology #CSAILPodcast


The Promise and Peril of Computer Chips with Tufts Professor Chris Miller

In this special crossover episode, we're bringing you a conversation from our friends at Me, Myself, and AI, a podcast by MIT Sloan Management Review and Boston Consulting Group.
Walter Sun, Senior VP and Global Head of AI at SAP, joins hosts Shervin Khodabandeh and Sam Ransbotham for a deep dive into how SAP is deploying AI at scale across its platforms, from building a generative AI hub with access to over 30 large language models to developing specialized AI agents that reduce hallucinations. 
 
You’ll hear insights into:
The real-world use of small vs. large language models
 
How SAP is empowering employees through “AI Days”
 
What AI agents can teach us about specialization and collaboration
 
How to avoid hallucinations with fine-tuned, task-specific agents
 
Building trust and transparency into enterprise AI systems
 
Whether you're an AI enthusiast, enterprise leader, or just curious about how cutting-edge AI is transforming business, hear how AI is shaping industry strategy and transforming the market.
  
For more episodes from Me, Myself, and AI: https://sloanreview.mit.edu/audio-series/me-myself-and-ai/ 
 
Connect with CSAIL Alliances:
On our site: https://cap.csail.mit.edu/ 
On LinkedIn: https://www.linkedin.com/company/mit-csail/ 


Me, Myself, and AI: Building Better Answers With AI Agents, featuring SAP’s Walter Sun (Bonus Episode!)

AI is transforming radiology, but not at the expense of skilled technicians. In the same way that personal computers and spreadsheets didn’t eliminate accountants, AI is not going to replace radiologists but will instead transform the way they work. 
 
MIT CSAIL Professor Polina Golland’s research sits at the intersection of machine learning and healthcare, specifically medical imaging. In this episode, she discusses her team’s groundbreaking work on algorithms that analyze subtle patterns in x-rays, helping detect diseases earlier and understand them more deeply.
 
This conversation covers:
 
2:00 - How do doctors diagnose heart failure?
5:27 - Converting medical imagery to numbers
8:20 - Code generation for radiologists
9:25 - Weaknesses in the medical system that computing can strengthen
16:48 - The choreography of treating a patient
20:31 -  Turning an algorithm into a product
24:26 - Will radiologists be replaced by AI?
30:21 - How will AI change medical imagery?
 
Connect with CSAIL Alliances:
On our site: cap.csail.mit.edu/about-us/meet-our-team
On LinkedIn: linkedin.com/company/mit-csail #MITCSAIL #AI #GenerativeAI #Leadership #Technology #CSAILPodcast

How AI is Reshaping Medical Imagery with MIT CSAIL Professor Polina Golland

From sports drinks to self-driving cars, some of the most transformative innovations have emerged when universities and businesses join forces. In this episode, host Kara Miller talks with Lori Glover, author of Innovation Alchemy and Managing Director of Global Strategic Alliances at MIT CSAIL, about the surprising ways academic research and industry collaboration shape technology, talent, and the global economy.
 
Together, they explore stories from the invention of Gatorade to modern AI research, the challenges of aligning two very different cultures, and how partnerships can spark unexpected breakthroughs, sometimes changing entire industries.
 
Whether you’re curious about how new ideas move from the lab to the marketplace or want to learn why companies and universities need each other more than ever, this episode offers a deep look into the evolving innovation ecosystem at the juncture of academia and industry.
Episodes, listener discounts, meet the host, and more can be found here: https://csail.mit.edu/podcast
 
Connect with CSAIL Alliances: 
On our site: cap.csail.mit.edu/about-us/meet-our-team  
On LinkedIn: linkedin.com/company/mit-csail 
 
#MITCSAIL #AI #Education #MIT #GenerativeAI #Leadership #Technology #csailpodcast


Innovation Alchemy: Industry and Academia with Lori Glover

How will AI reshape the future of deep tech, industry, and investment?
 
In this episode of the MIT CSAIL Alliances Podcast, host Kara Miller speaks with Bilal Zuberi, founder and managing partner of Red Glass Capital. A longtime venture capitalist, Zuberi explains why AI isn’t just changing apps and SaaS tools—it’s unlocking massive sectors like manufacturing, healthcare, energy, and defense. He shares why he sees AI as the new “cost of intelligence,” what deep tech really means, and how breakthrough innovations could create trillions of dollars in value while tackling humanity’s toughest challenges, from climate change to healthcare.
 
Tune in for a conversation on the future of innovation, the shifting role of academia, and why Zuberi believes we’re moving from being AI consumers to becoming AI creators.
 
Topics Include:
02:39 - Introduction to Bilal Zuberi
04:43 - What is Deep Tech?
06:16 - Using technology to solve important problems
10:45 - AI granting access to old dreams and new jobs
12:56 - How helpful is AI as a tool?
14:52 - How AI is changing the world
19:04 - Academia’s role in AI
26:09 - The value of venture capital
30:12 - How AI will influences jobs
33:46 - What will be mainstream in five years?
36:13 - Outro
 
Episodes, listener discounts, meet the host, and more can be found here: https://csail.mit.edu/podcast
 
For Danny Weitzner’s episode:
https://soundcloud.com/csail-alliances/how-companies-can-rebuild-trust-around-data-with-danny-weitzner
 
Connect with CSAIL Alliances: 
On our site: cap.csail.mit.edu/about-us/meet-our-team
On LinkedIn: linkedin.com/company/mit-csail 
 
#MITCSAIL #AI #Education #MIT #GenerativeAI #Leadership #Technology #csailpodcast


Investing in the Age of AI: Deep Tech, Risk, and Reward with Bilal Zuberi

The Data Science Machine is an end-to-end software system that is able to automatically develop predictive models from relational data. The Machine was created by Max Kanter and Kalyan Verramachaneni at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. 

The Data Science Machine: Kalyan Veeramachaneni

A researcher at MIT’s Computer Science and Artificial Intelligence Lab, Michael Stonebraker has founded and led nine different big-data spin-offs, including VoltDB, Tamr and Vertica - the latter of which was bought by Hewlett Packard for $340 million.

Now he’s bringing his insights to a new online course being offered this month through edX and MIT Professional Education. Co-taught by long-time business partner Andy Palmer, “Startup Success: How to Launch a Technology Company in 6 Steps” covers topics ranging from generating ideas and recruiting top talent to pitching VCs and negotiating deals - all in the span of three weeks.

A Discussion with MIT CSAIL's Michael Stonebraker

While the promise of the Internet of Things (IoT) brings many new business prospects, it also presents significant challenges ranging from technology architectural choices to security concerns. The concept of Internet of Things (IoT), which has roots at MIT, has begun to make an impact in industries ranging from industrial systems to healthcare.  MIT researchers continue to conduct ground-breaking research on topics ranging from RFID to cloud technologies, from sensors to the World Wide Web.  Learn cutting-edge tools and applications for this new evolution in hardware, software, and data from MIT's Computer Science and Artificial Intelligence Laboratory's IoT experts: http://bit.ly/1S4sIdp

Internet of Things with MIT CSAIL's John Leonard

MIT CSAIL professor Srini Devadas describes computer architecture, computer security and their intersection. He gives further insight into the conflict between ease of programming and performance and the communication between these threads through parallel software, such as message passing or shared memory abstraction (e.g. Google Docs).

Parallel Software and Anonymizing Networks with MIT CSAIL's Srini Devadas

MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) Alliances serves as a gateway into the lab for industry and governmental institutions seeking a closer connection to the work, researchers, and students of CSAIL. Our podcast aims to provide inside access to topics covered by CSAIL and other leaders advancing computer science and AI research.

A Discussion with MIT CSAIL's Michael Stonebraker

MIT CSAIL Alliances

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