AI Podcast

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

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

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

With more than 40% market share in mobile games, a billion monthly active users and 2.6 billion unique devices, Unity has a profoundly important role in booming gaming and VR markets. 

In this episode, Azeem talks with Dr. Danny Lange, VP of AI and machine learning at Unity about the role of these technologies in revolutionizing the ways games are developed and monetized. Dr Lange talks about the significance of the undergoing paradigm shift in computing, OODA loop in machine learning, and what happens to software engineers when their trade goes obsolete. 

Dr. Lange is VP of AI and machine learning at Unity Technologies. Before joining Unity, he led the machine learning efforts at Uber, Amazon and Microsoft. 

Through his work on General Motor’s OnStar Virtual Advisor, Danny provided the foundation for the development of one of the largest deployments of an intelligent personal assistant until the arrival of Siri. 

Prior to joining General Magic, Dr. Lange was Visiting Scientist at IBM Tokyo Research Laboratory, 1993 to 1997, where he is known for his invention of the Java Aglet, a lightweight mobile agent for the Java programming environment. In addition to his software agent work, he has also made significant contributions in the areas of hypertext technology, object-oriented database modeling, and Design Pattern visualization techniques.

This episode was supported by SVB, Silicon Valley Bank.

www.exponentialview.co

The state of machine learning: A conversation between Azeem Azhar and Dr. Danny Lange

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

Azeem Azhar speaks with Kai-Fu Lee: a VC investor, technology executive, and one of the most prominent figures in the Chinese internet sector and AI. Azeem and Kai-Fu discuss Chinese government's techno-utilitarian approach to technology, the ambition of China's technology founders, and the future of job automation West and East.&nbsp; www.exponentialview.co

China, An AI Superpower: Kai-Fu Lee & Azeem Azhar in Conversation

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

For the end-of-year holiday episode of the Data Show, I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Lorica also showcased some highlights from our upcoming Strata Data and Artificial Intelligence conferences.

Trends in Data, Machine Learning, and AI

Jack Clark is Policy Director at OpenAI. He has contributed to the development of the AI Index, an AI forecasting and progress initiative that is part of the Stanford One Hundred Year Study on AI. Azeem and Jack discuss the state of artificial intelligence development, the geopolitics of technology, and the implications of automation on the society.  www.exponentialview.co

The State of Artificial intelligence: Jack Clark and Azeem Azhar in Conversation

Emil Eifrem is the CEO and co-founder of Neo4j, the graph database platform powering some of the largest companies today. Emil is the creator of the property graph model and he coined the term "graph database" to describe the technology that would change how we understand big data. Neo4j's technology was used to reveal the rogue offshore financial relationships in the largest journalist leak ever, the Panama Papers. www.exponentialview.co

Making Sense of the Data-Rich World with Graph Databases: Emil Eifrem and Azeem Azhar in Conversation

AI has numerous use cases in legal, from document search to compliance and contract abstraction. This week, we speak with&nbsp;Lars Mahler, Chief Science Officer for LegalSifter, about what's possible with AI for legal departments today and how AI applications for legal teams, such as natural language processing-based contract analysis, work. In addition, Mahler discusses how lawyers at companies and data scientists work together to train machine learning algorithms. He provides some insight into how a company has to make its way into the legal space and the challenges of training an NLP system and collecting data for it. Read more about AI in legal at Emerj.com

AI Podcast

Suhnylla Kler