Posts in category

Machine Learning


Google I/O 2019 | Music and Machine Learning New technologies have fundamentally changed the way we make and experience music. In this session Claire Evans, artist, author and one half of the pop duo YACHT talks about deep learning as a tool in their creative process. Their new album explores Google AI’s research project, Magenta, …

Google I/O 2019 | Making Art with Artificial Intelligence: Artists in Conversation This session will explore new forms of visual art made possible by machine learning, from collaboration with robots to machine models of nature. Hear from some of the artists exhibiting their work on The Boardwalk at I/O as part of I/O Arts. This …

Google I/O 2019 | Introducing Google Coral: Building On-Device AI This session will introduce you to Google Coral, a new platform for on-device AI application development and showcase it’s machine learning acceleration power with TensorFlow demos. Coral offers the tools to bring private, fast, and efficient neural network acceleration right onto your device and enables …

Google I/O 2019 | Michio Kaku on The Future of Humanity An enlightening conversation with the famed theoretical physicist, futurist, and co-founder of String Field Theory. This fireside chat will cover a range of topics from quantum computing, how AI can improve our quality of life, to potential life on Mars and why he is …

Is my car hallucinating? Is the algorithm that runs the police surveillance system in my city paranoid? Marvin the android in Douglas Adams’s Hitchhikers Guide to the Galaxy had a pain in all the diodes down his left-hand side. Is that how my toaster feels? This all sounds ludicrous until we realise that our algorithms …

When mundane objects such as cords, keys and cloths are fed into a live webcam, a machine-learning algorithm ‘sees’ brilliant colours and images such as seascapes and flowers instead. The London-based, Turkish-born visual artist Memo Akten applies algorithms to the webcam feed as a way to reflect on the technology and, by extension, on ourselves. …

This video by the French computer programmer Damien Henry is a clever visual demonstration of machine learning – a term coined by the US computer scientist Arthur Samuel (1901-1990) to describe an algorithm that gives computers the ‘ability to learn without being explicitly programmed’. Using several videos recorded from windows during train rides, Henry trained an algorithm …

It’s tempting to think of the mind as a layer that sits on top of more primitive cognitive structures. We experience ourselves as conscious beings, after all, in a way that feels different to the rhythm of our heartbeat or the rumblings of our stomach. If the operations of the brain can be separated out …

As over-hyped as artificial intelligence is—everyone’s talking about it, few fully understand it, it might leave us all unemployed but also solve all the world’s problems—its list of accomplishments is growing. AI can now write realistic-sounding text, give debating champs a run for their money, diagnose illnesses, and generate fake human faces—among much more. After training …

As artificial intelligence systems take on more tasks and solve more problems, it’s hard to say which is rising faster: our interest in them or our fear of them. Futurist Ray Kurzweil famously predicted that “By 2029, computers will have emotional intelligence and be convincing as people.” We don’t know how accurate this prediction will …