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NFC (near field communication) technology has been around for about a decade, and with the exception of transit cards mostly outside the United States it’s gone nowhere. Now Apple has debuted Apple Pay. Has Apple filled in the gaps in terms of user experience, sheer number of devices, and retail footprint to finally make NFC work? In six months will we all be swiping our phones at every coffee joint and grocery store? Once Apple has virtualized your credit cards, what comes next? Benedict Evans is joined by a16z’s Frank Chen and Zal Bilimoria to discuss the latest from Cupertino’s finest around payments, the long-awaited Apple Watch, and a bigger (and biggest) iPhone.

a16z Podcast: Apple Takes on Payments and Your Wrist

Tune in to hear EIU senior editor, Riva Richmond, chat with David Closs, Professor of Business Administration and Chairperson of the Department of Supply Chain Management at Michigan State University, about how supply-chain management is changing business internally due to the boom in data.  Delve into his insights on what you can do to increase revenue vs. cut costs and his thoughts on how more supply-chain managers are finding their way into the C-suite here >>

The future of Business & the supply chain

"Machine learning is to big data as human learning is to life experience," says Christopher Nguyen, the co-founder and CEO of big data intelligence company Adatao. Sure, but then, what IS big data? (especially as it's become a buzzword that captures so many things)... 

On this episode of the a16z Podcast, Nguyen puts on his former computer science professor hat to describe 'big data' in relation to 'machine learning' -- as well as what comes next with 'deep learning'. Finally, the former Google exec shares how Hadoop and Spark evolved from the efforts of companies dealing with massive amounts of real-time information; what we need to make machine learning a property of every application (why would we even want to?); and how we can make all this intelligence accessible to everyone.

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The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

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a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

This week on The Digital Life, we discuss the strange and exciting world of quantum computing. Quantum computers operate on an atomic level, harnessing the power of quantum mechanics to perform processing tasks much more rapidly than computers designed using classical physics. They have the potential to perform calculations much, much faster than any of our silicon-based super computers today — up to 100 million times faster, in fact.

Research in quantum computing has up until recently, been largely theoretical, with the practical technology needed to achieve it beyond reach. But now both Google and D-Wave, a Canadian company, have made some significant progress. Will there be a coming revolution in computing power? Will quantum computers one day replace our silicon chip based computing devices?

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Quantum Computing

In this episode we explore Quantum Computers, from the basic theory to the potential applications, as well as many myths and misconceptions this groundbreaking technology has accumulated.

Watch the video: https://youtu.be/wgCuKTN8sX0

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Dexter Britain, "Seeing the Future"
Kai Engel, "December"
Lombus, "Hydrogen Sonata"
Koalips, "Kvazar"
Frank Dorittke, "Morninglight"
Brandon Liew, "Into the Storm"

We have been writing and recording for this new podcast series, opening up the little-known world of theoretical chemistry. Here's a taster of what's to come!

Earnest's Understanding

What is theoretical chemistry?

Density functional theory is one of the most widely used yet contentious issues in science, and yet many people will never even have heard about it. We discuss its origins, successes and controversies and talk to Professor Fred Manby, from the University of Bristol, who both uses and develops DFT in his research.

Credits:
- Support: TMCS, EPSRC
- Theme music: from "Earnest's Understanding" © 2017 Charles Ormrod

Density Functional Theory

Quantum computation could hold the key to being able to simulate matter exactly. This week we have an extended interview with Professor Alán Aspuru-Guzik, from Harvard University, to find out what a quantum computer is, how it works and how it can be used in chemistry.

Links:
- https://pubs.acs.org/doi/abs/10.1021/acscentsci.7b00550 (The Matter Simulation (R)evolution)

Credits:
- Support: TMCS, EPSRC
- Theme music: from "Earnest's Understanding" © 2017 Charles Ormrod

Prof. Ahmed Banafa  I Named the No. 1 Top Voice To Follow in Tech by LinkedInOne, Prof. Ahmed Banafa of San Jose State University, one of the top IoT writers, speakers and thought leaders, with research published on Forbes, MIT Technology Review, ComputerWorld, Techonomy, he is a contributor to IEEE-IoT, LinkedIn, IBMCloud, IBM Big Data Analytics Hub, HPE Insights and he has appeared as an expert in new tech with appearances on ABC, NBC , CBS, FOX and other media outlets.  Our conversation covered a lot of ground, focusing on IoT from the perspectives of Technology, business and society.  We discussed the different dynamics at play across consumer and enterprise technology, the regulatory backdrop, and the evolving demands around security safety and privacy.  Banafa weaves in broad perspective on the dynamics of the IoT industry and provides details insights into the power of AI and Machine Learning as well as Blockchain technology.  Looking forward he sees the rise of quantum computing as one of the most consequential innovations ahead of us.

#11 The Rise of Quantum Computing - Prof. Ahmed Banafa

In this episode, we discuss how computational chemistry can be used to solve problems in organic chemistry and biological systems.
We spoke to Prof. Fernanda Duarte at The University of Oxford about her work in computational organic chemistry.
For more on this topic, the papers mentioned during this episode can be found in the following links:
https://pubs.acs.org/doi/abs/10.1021/jacs.6b06277
https://pubs.acs.org/doi/abs/10.1021/jacs.7b02468

Credits:
- Support: TMCS, EPSRC
- Theme music: from "Earnest's Understanding" © 2017 Charles Ormrod

Series 2 Episode 1: Organic Reaction Mechanisms

This week we spoke to Professor Tom Miller at Caltech about efficient battery design as well as its considerations with regard to Green Chemistry. 

In the episode we discuss the following papers:
https://pubs.acs.org/doi/abs/10.1021/acs.accounts.6b00568
http://science.sciencemag.org/content/362/6419/1144/tab-pdf

Credits:
- Support: TMCS, EPSRC
- Theme music: from "Earnest's Understanding" © 2017 Charles Ormrod

Series 2, Episode 2: Efficient Battery Design

A podcast discussing the latest research in theoretical chemistry, including interviews with leading academics. Produced by PhD students in the TMCS Centre for Doctoral Training at Oxford University.

Quantum Computing

Theoretically Speaking