Pi  Mash

Pi Mash

By Ocado TechnologyBusinessTechnology
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Pi Mash episodes

  • A brief guide to AI and Machine Learning (continued)
    Following on from our last episode, this week we will turn the spotlight onto the game changer that is machine learning. It's a big topic to cover in under half an hour, but we take on the challenge, along with our special guests, to cover everything from how it works and its relationship with AI, to how the machine learning revolution has been enabled by the cloud and the power of accessible data.    To finish off, we will take a look at the perception of these disruptive technologies in popular culture and the media, and draw our own conclusions on what the future holds... Useful Links
    • Mindshare Huddle event - The Journey to Post Human
    • DESTROYING OURSELVES: Artificial Intelligence poses a THREAT to humanity - Shock Report! - The Daily Express
    • RISE OF THE MACHINES: Top astronomer warns humans will be wiped out by robots who will take over the earth - The Sun
    • This is how AI ROBOTS will take over the world - and why we need to stop scientists NOW - The Daily Express
    • The Paris Agreement
    Credits 

    Guests in order of appearance:

    Sarah McConville - Deputy Group Publisher at Harvard Business Review

    Greg DeMichillie - Director of project management in the office of the CTO at Google Cloud

    Duncan Russell - Research coordinator overseeing the Horizon 2020 projects; SecondHands  and SoMa

    Andreia Silva - Data Science Team Lead

    Matthew Leadbetter - Data Scientist

    Written and hosted by Holly Godwin

    Produced by Green Barge Audio with original music by Nic Sims

     
    17 min
  • A brief guide to AI and Machine Learning

    Today we're going to jump right into two of the hottest topics in technology - AI and machine learning. We hear these terms bandied around in mainstream media all the time, but what do they actually boil down to?

    Show notes (hyperlinks available on  most mobile devices)

    Useful Links

    • Mindshare Huddle event - The Journey to Post Human

    • Do Not Pay - The chatbot designed to fight your parking fines for you.  Joshua Browder also wrote an article on medium to announce the fact he was open sourcing the technology to anyone who wanted to make use of it, the article can be found here.  

    • Google Vision API - Image recognition and analysis API. Google photos can now organise photos by exact search criteria using image analysis.

    • What-Dog.net - The service that uses image recognition software to distinguish what breed your pampered pooch is.

    • SecondHands - The robot built to assist technicians in Ocado's highly automated warehouses. For more reading material visit our blog.

    • SoMa - Soft manipulation technology designed to be able to carefully pick deformable items. For more reading material visit our blog.

     

    References for the History of AI and Machine Learning:

    • Talos - the giant, bronze automaton that protected Europa in Crete from pirates and invaders, circling the island's shores three times daily. A detailed account of Talos can be found in the Argonautica, but detailed images from ~400 BC predate this by around 150 years.

    • Galatea - The statue of a woman Pygmalion carved out of ivory. After falling in love with his creation, he made offerings to Aphrodite, who later brought the statue to life. From Ovid's Metamorphoses.

    • Yan Shi - The engineer who presented King Mu of Zhou with a mechanical man. First recorded in the Liezi ~300BC.

    • Aristotle's Syllogisms - Using deductive reasoning to arrive at a conclusion based on two or more propositions that are asserted or assumed to be true.

    • Ramon Lull - author of The Ars Magna (published 1305). Now considered one of the forefathers of information science.

    • Pascal's mechanical calculator - known as the arithmetic machine, the calculator was designed in the early 17th century by Blaise Pascal and was known for its revolutionary carry mechanism.

    • The Analytical Engine - Charles Babbage and Ada Lovelace's 19th century programmable mechanical calculator.

    • Ferranti Mark 1 - The first working AI programs were written in 1951 to run on the University of Manchester's Ferranti Mark 1 machine: a checkers playing program written by Christopher Strachey and a chess playing program written by Dietrich Prinz.

    Credits

    Guests in order of appearance:

    • Sarah McConville - Deputy Group Publisher at Harvard Business Review

    • Paul Clarke - CTO at Ocado Technology

    • Duncan Russell - Research coordinator overseeing the Horizon 2020 projects; SecondHands and SoMa

    • Written and hosted by Holly Godwin

    • Produced by Green Barge Audio with original music by Nic Sims

    15 min
  • How to hire in a world where unicorns don't exist
    Following on from the last episode of Pi & Mash, we're mixing things up, turning the tables around and taking a look at how technology companies can ensure their teams have all the skills needed to stay at the cutting edge of innovation. We'll also myth-bust the idea of the ever-elusive unicorn candidate and find out what our guests have to say about job hunting in this ever changing industry.
    16 min
  • Tech in colour

    During the next two episodes we will be taking a step inside the Ocado Technology offices to find out more about the opportunities available in technology today, taking a closer look at the ever evolving industry culture from both sides of the interview table. In such a fast paced, quick changing environment, technology is requiring an ever growing range of skills, and they're not always what you would expect...

    14 min
  • Just Say No!

    This episode delves into the dreaded to-do list. Featuring guests Susannah and Anna; experts within product management, who want to wave goodbye to backlogged work for good, and AJ, who explores the psychological ramifications of an unmanageable list of work undone. Maybe we could all see ourselves saying no to ever-growing workloads after this episode of Pi & Mash.

    17 min
  • A Universal Language

    A discussion with Celine Boudier, team lead of the Code for Life initiative, reveals the importance of teaching children how to code at a young age. We explore how we can start introducing these all important life skills, discuss Code for Life's accessible and engaging coding games and find out why you should never give up on your dream of managing a robotic football team.

     

    Useful Links

    Code for Life - An education initiative with a mission to create free open source games and teaching materials to help children learn to code. For more relevant reading material, go to our blog or follow @codeforlifeuk on twitter and facebook for live updates.

    Rapid Router - Code for Life's first game designed for primary school students as a response to computer science being added to the curriculum in 2014.

    AI:MMO - Have a sneak peak at Code for Life's second game (currently in development), where students can program an avatar on an adventure through space and time. Designed for 11-18 year olds.

    Nao - The 58cm tall android designed by SoftBank robotics. Star of the Robo Cup League. Also See Aibo, the Robo Cup's previous bot of choice prior to Nao.

    Linda Liukas - founder of Rails Girls and author of Hello Ruby.

    Credits

    Guests in order of appearance:

    Celine Boudier - Code for Life Team Lead

    Lilla-May - Year 6 student living in London.

    Written and hosted by Holly Godwin

    Produced by Green Barge Audio with original music by Nic Sims

    19 min

About Pi Mash

From the publisher's feed

Shedding light on the human stories behind the big ideas fueling this ever accelerating information age.