It’s been a curious year for AI — with important breakthroughs in NLP and drug discovery tempered by AI’s to-date modest contributions in the fight against Covid-19.

Compiled with my friend Ian Hogarth during the pandemic, this year’s State of AI Report (https://www.stateof.ai/) is a remedy to fears of a new AI winter, and we hope a much needed reminder of the extent of innovation and progress carrying on despite the present circumstances.

However, our report also demonstrates just how much of this innovation is enabled by massive computing infrastructure that is increasingly in the hands of big tech companies.


In this post, we share key takeaways from our Air Street Summit 2019 on AI-first startup investing, product building, selling companies, and investing in VC funds. If you’re a GP, angel, or LP and you’d like to join us next year, drop us a line!

The AI-first startup investing playbook

AI is a hot topic amongst investors across the capital spectrum. By some counts, over 3.6k “AI startups” in 70+ countries have raised $66B since 2013. The pace is picking up too: $7.4B was raised in Q2 2019 alone. In an environment like this one, it’s important for investors to carefully select signal from noise…


This post was originally published on my blog.

Introduction

As machine learning (ML) grows in popularity amongst large technology companies and startups, businesses of all kinds are taking notice and asking themselves how they can follow suit. There are many resources that help codify the discovery of real-world use cases where it makes technical and commercial sense to use an ML-based solution. For example, inspired by the popular startup business model canvas, the ML Canvas does a great job at structuring this discovery process.

However, less has been written about the common challenges faced by specific business personas as a function…


At our 5th Research and Applied AI Summit on Friday this week, I announced that Ian Hogarth and I had released our annual State of AI Report 2019. You can download it from SlideShare here.

Just like our first report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. You can consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger an informed conversation about the state of AI and its implication for the future.

Please do drop us…


The Research and Applied AI Summit (RAAIS) is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology. In the lead up to our 5th annual event on June 28th 2019 in London, we’re running a series of speaker profiles to shed more light on what you can expect to learn on the day!

A driving force behind the blossoming of machine intelligence is next-generation hardware that accelerates training and inference at scale. In 2017, we hosted Graphcore Co-Founder and CTO Simon Knowles. In his talk, Simon motivated the need for novel hardware and outlined…


The Research and Applied AI Summit (RAAIS) is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology. In the lead up to our 5th annual event on June 28th 2019 in London, we’re running a series of speaker profiles to shed more light on what you can expect to learn on the day!

This year, we’re organising a deep-dive session on how AI methods are transforming the life sciences. We’re thrilled to welcome Jonathan Bloom from the Broad Institute of MIT and Harvard! Jon is a mathematician, engineer, and Institute Scientist at the Broad…


Life sciences and healthcare are now in the limelight for technologists, in part because AI technologies are well suited to make a positive impact to key workflows. In this essay, I’ll explore 6 areas of life sciences that offer fruitful applications of AI. I hope this will serve as a resource and point of inspiration for those of you who are interested to work in this field.

🔬 Setting the scene

In 2013, the machine learning (ML) research community demonstrated the uncanny ability for deep neural networks trained with backpropagation on graphics processing units to solve complex computer vision tasks. The same year, I…


London.AI is a community of AI practitioners from technology companies, startups and academia.

We’re almost ready to kick off (photo credit: QuantumBlack)

Yesterday evening, we hosted our 14th edition of London.AI at the QuantumBlack offices in central London. Drawing from 412 applicants, we were able to host approx. 100 engineers, researchers, founders, students and operators from organisations such as:


This is an excerpt from my AI newsletter in which I synthesise a narrative that analyses and links important news, data, research and startup activity from the AI world.

👉 Sign up here so it lands straight in your inbox.

Investments

Q4 2018 has been an active one! Here’s a highlight of the most intriguing financing rounds:

Zymergen, a Bay Area company with a mission to search beyond the bounds of human intuition to deliver novel products and materials, closed a $400M Series C investment led by SoftBank’s Vision Fund (SoftBank proper led their Series B). This business is often held up as a posterchild for how the software industry can intersect…


This is an excerpt from my AI newsletter in which I synthesise a narrative that analyses and links important news, data, research and startup activity from the AI world.

👉 Sign up here so it lands straight in your inbox.

Research Papers

Optimizing Agent Behavior over Long Time Scales by Transporting Value, DeepMind.

How often have you reflected on the outcome a decision that you made a week or a month ago? Learning from our successes and mistakes requires linking actions and consequences over long spans of time (the “credit assignment problem”). Doing so is key to our ability to learn efficiently. In this paper, the authors explore this feature of human nature that is otherwise absent in AI models today that can only…

Nathan Benaich

🤓AI-first investing @airstreet, running @raais @londonai @parisai communities, VP @pointninecap, co-author http://stateof.ai, biologist, foodie, et al.

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