SuperDataScience

AI Podcast

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Ai Tech podcasts

Deep Learning

Think of our inaugural episode of The AI Podcast as a guide for the perplexed.  Host Michael Copeland speaks with NVIDIA's Will Ramey about the history behind today's AI boom and the key concepts you need to know to get your head around a technology that's reshaping the world.

Ep. 1: Deep Learning 101 - Will Ramey, NVIDIA Senior Manager for GPU Computing

Bryan Catanzaro, vice president for applied deep learning research at NVIDIA, talks about how we know an AI technology is working, the potential for AI-powered speech, and where we’ll see the next deep learning breakthroughs.

Ep. 2: Where Deep Learning Goes Next - Bryan Catanzaro, NVIDIA Applied Deep Learning Research

Deep learning isn't just for research scientists anymore. Hobbyists can use consumer grade GPUs and open-source DNN software to tackle common household tasks from ant control to chasing away stray cats.

Ep. 3: Deep Learning DIY - NVIDIA Engineer Bob Bond, Make: Magazine Executive Editor Mike Senese

Autonomous vehicles will need to do much more than master object detection. Self-driving vehicles will need technology able to integrate visual computing, artificial intelligence, and high-performance computing, NVIDIA's Danny Shapiro explains.

How AI Will Revolutionize Driving - Danny Shapiro, NVIDIA

Ep. 4: How AI Will Revolutionize Driving — Danny Shapiro, NVIDIA

In this episode of the SuperDataScience Podcast, I chat with Marketing Expert Sam Flegal. You will know about the essential roles of data in marketing, learn about statistical significance, and get insights and advices about management and career.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/23

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 023 : Data in Marketing, Statistical Significance and Management and Career Advice

In this episode of the SuperDataScience Podcast, I chat with Vice President of Finance Aziz Mamatov. You will get advices on how to choose a career, learn about the disruptions in the financial industry landscape and get to know about application stacks. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/27

SDS 027 : Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov

In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will be able to learn and assess on Experfy, get to discuss data science application case studies and know the secret to data science success.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/37

SDS 037: Develop your Dream Data Science Career with Experfy

In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and know about SAS Enterprise Miner. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/41

SDS 041: An Inspiring Journey from a Totally Different Background to Data Science

In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to know how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences and be able to get ideas on how to be involved in a Kaggle competition.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/45

SDS 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn the idea to the question: why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/47

SDS 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

Purple shirts, haircuts, and cats. How are these three all related? According to deep learning pioneer Andrew Ng, they all played a part in AI’s growing presence in our lives. Ng, formerly of Google and Baidu, and the founder of his new company, Deeplearning.ai, joined this week’s episode of the AI Podcast to share his thoughts on AI being the new electricity.

Deep Learning Pioneer Andrew Ng on AI as the New Electricity

Ep. 32: Deep Learning Pioneer Andrew Ng on AI as the New Electricity

with Frank Chen, Steven Sinofsky, and Sonal Chokshi

There are many reasons why we’re in an “A.I. spring” after multiple “A.I. winters” — but how then do we tease apart what’s real vs. what’s hype when it comes to the (legitimate!) excitement about artificial intelligence and machine learning? Especially when it comes to the latest results of computers beating games, which not only captures our imaginations but has always played a critical role in advancing machine intelligence (whether it’s AI winning Texas Hold’em poker or beating the world human champ in the ancient Chinese game of Go).

But on learning that Google DeepMind’s AlphaGo can master the game of Go without human knowledge — or more precisely: “based solely on reinforcement learning, without human data, guidance, or domain knowledge beyond game rules” — some people leap too far towards claims of artificial generalized intelligence. So where can we then generalize the findings of such work — unsupervised learning, self-play, etc. — to other specific domains? What does it mean for entrepreneurs building companies (and what investors look for)? And what does it mean for how we, as humans, learn… or rather, how computers can also learn from how we learn?

Deal and research operating team head Frank Chen and a16z board partner Steven Sinofsky ponder all this and more, in conversation with Sonal Chokshi, in this episode of the a16z Podcast. We ended last time with the triumph of data over algorithms and begin this time with the triumph of algorithms over data … is this the end of big data?

a16z Podcast: Revenge of the Algorithms (Over Data)... Go! No?

Та бүхэндээ ээлжит дугаараараа "Algorithms to Live By" буюу "Xүний амьдралын шийдвэрүүдийг алгоритмаар тайлбарлахуй" нэртэй номыг хүргэж байна. 
Алгоритм гэдэг нь компьютер, математикийн шинжлэх ухаанд хэрэглэгддэг аливаа үйлдлийн заавар зааварчилгааг хэлж байгаа бөгөөд өдөр тутмын амьдралдаа бид тэр бүр компьютер шиг сэтгэж тооцоолж шийдвэрээ гаргаад байдаггүй билээ. Энэ нь заримдаа ухаалаг бус шийдвэр гаргахад хүргэдэг. 
Харин энэхүү номыг уншсанаар, хэдийд хүнтэй сууж амьдрал зохиовол зүгээр, чөлөөт цагаа сайн найзуудтайгаа өнгөрүүлэх үү эсвэл шинээр хүмүүстэй танилцахад зарцуулах уу, юмаа яаж эмхэлж цэгцэлэх үү гээд бидэнд тулгардаг олон асуудлыг алгоритмаар яаж шийдэж болох талаар сонирхолтой тайлбаруудтай танилцах болно.

unlock podcast

#28 Algorithms to Live By

Research advances over the past five years in artificial intelligence and machine learning have caused organizations of all kinds to look for ways to apply these powerful algorithms and techniques in their businesses. Eventually, AI could have the same impact that electricity had across all industries a hundred years ago by transforming industries, displacing existing jobs and creating new ones, and requiring massive policy changes.
 
In this episode of Greymatter, Greylock’s Sarah Guo and Dr. Andrew Ng, one of the foremost leaders in AI discuss AI and ML techniques being used in industry today, areas of ongoing research, how companies can leverage this technology, and the broader impact on the future workforce.

Building An AI-Powered Society with AI Fund's Andrew Ng | Greymatter

Dr. Kai-Fu Lee has been at the center of artificial intelligence for decades. 

dr. Lee developed the world's first speaker independent continuous speech recognition system, selected as the most important innovation of the year by BusinessWeek, and that was back in 1988. 

In the three decades since, Dr. Lee has led teams at Apple, Silicon Graphics, Microsoft and Google. 

In 2009 Dr. Lee left Google to start Sinovation Ventures, which now manages a $2 billion fund focusing on technology startups in China and the United States. 

His latest book, "AI Superpowers: China, Silicon Valley, and the New World Order," ranks number six on the New York Times Business Books best sellers list.

Kai-Fu Lee on the Future of AI in the US, China - Ep. 72

Investor, AI Pioneer Kai-Fu Lee on the Future of AI in the US, China - Ep. 72

Voice recognition is one thing, creating natural sounding artificial voices is quite another. Lyrebird - a member of NVIDIA’s Inception startup program - uses deep learning to take this a step further, with a system that's able to listen to a human voices and generate speech that mimics the sound of the original, human, speaker. We spoke with Lyrebird co-founder Jose Solero about the benefits of this technology, and why he feels the need to educate the public about what's possible.

A Conversation with the Entrepreneur Behind the World's Most Realistic Artificial Voices - Ep. 73

With “Fake News” embedding itself into, well, our news, it’s become more important than ever to distinguish between content that is fake or authentic. That’s why Vagelis Papalexakis, a professor of computer science at the University of California, Riverside, developed an algorithm that detects fake news with 75 percent accuracy.

Good News About Fake News: AI Can Now Help Detect False Information - Ep. 74

SoundHound made its name as music identification service. Since then, SoundHound has become much more. It's leveraged its 10 plus years in data analytics to create a voice recognition tool companies can bake into any product. Here to tell us how SoundHound has grown into a major player in voice driven Ai is SoundHoud VP of Product Marketing Mike Zagorsek.

How SoundHound Uses AI to Bring Voice and Music Recognition to Any Platform - Ep. 75

with Joel de la Garza, Jonathan Lusthaus, and Hanne Tidnam (@omnivorousread)

The idea of the cybercriminal as lone wolf or hobby hacker is no longer much of a reality. Instead, the business of cybercrime looks a lot more just like that -- a large, global technology business, with many of the associated structures, challenges, and even casts of characters that legitimate businesses have.

In this conversation, a16z's Joel de la Garza, a16z operating partner for information security (formerly CSO of Box and head Citigroup's Cyber Intelligence Center), and Hanne Tidnam, discuss with Jonathan Lusthaus -- Director of the Human Cybercriminal Project at the University of Oxford -- the evolution of the industry of cybercrime from single perpetrator into a sprawling and sophisticated international industry as discussed in his new book, Industry of Anonymity: Inside the Business of Cybercrime.

A dive into the sociological, operational, and tactical realities of this murky underworld, Lusthaus and de la Garza discuss what the current industry has evolved into -- who the players are, what they are motivated by, and specialize in -- as well as how basic ideas like trust and anonymity function in a world where no one wants to get caught. How do criminal nicknames function as brand? Which countries tend to specialize in what kinds of crime, and why? And most of all, what changes when you begin to think of the business of cybercrime as an industry?

a16z Podcast: The Business of Cybercrime

At some point in life, every man faces the same great challenge: sorting out his children's Lego pile. Thanks to GPU-driven deep learning, Francisco "Paco" Garcia is one of the few men who can say they've conquered it. Here's how.

How GPUs Helped One Man Conquer His Lego Pile - Ep. 77

Sort Circuit: How GPUs Helped One Man Conquer His Lego Pile - Ep. 77

One person, one interview, one story. Join us as we explore the impact of AI on our world, one amazing person at a time -- from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain. Every two weeks, we’ll bring you another tale, another 25-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 3.4 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired.

https://blogs.nvidia.com/ai-podcast/