Category Archives: English
The Coming AI Upheaval
The Building Blocks of a Quantum Computer
But how do a quantum computer and a quantum internet work? What scientific principles are behind it? What kind of software and protocols do we need for that? How can we operate a quantum computer and a quantum internet? And which disciplines of science and engineering are needed to develop a fully working system? In a series of two MOOCs, we will take you through all layers of a quantum computer and a quantum internet. The first course will provide you with the scientific basis by explaining the first layer: the qubits. We will discuss the four types of qubits that QuTech research center at Delft University of Technology focuses on: topological qubits, Spin qubits, Trans qubits and NV Centre qubits. We will teach you the working principles of qubits and, at the same time, the working principles of a computer made of these qubits.
Brains, Minds and Machines Summer Course
The field of Artificial Intelligence has produced impressive machines, such as Deep Blue, Watson, and Siri, that can beat a world chess champion, win the game of Jeopardy, and communicate in natural language. Yet few would view their behavior as brain-like or human intelligence. Computers still fare poorly on tasks that even young infants can perform, such as answering simple questions about a visual scene, Who is there? What are they doing? What happened previously? What will happen next? In this short introduction, Tomaso Poggio talks about how the synergy of recent advances in neuroscience, cognitive science, and AI, will enable us to understand the processes underlying human intelligence, from the neural circuits of the brain to the level of cognitive behavior.
Tomaso Poggio, and Gabriel Kreiman. RES.9-003 Brains, Minds and Machines Summer Course. Summer 2015. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.
The Gamer’s Brain: How Neuroscience and UX Can Impact Design
In this 2015 GDC talk, Epic Games’ Celia Hodent provides fun facts about the brain to help designers increase the chance of their audience experiencing the intended design of their game.
GDC talks cover a range of developmental topics including game design, programming, audio, visual arts, business management, production, online games, and much more.
Harnessing Evolution to Solve Problems in Biotechnology and Therapeutics Science
Biological evolution has solved many challenging molecular problems with breathtaking effectiveness. Researchers have begun to harness the remarkable power of evolution to address problems of their own choosing, rather than of nature’s choosing. In this lecture, Liu will describe the development and first applications of phage assisted continuous evolution (PACE), a method that enables proteins to evolve continuously in the laboratory for the first time, accelerating the speed of laboratory evolution ~100fold. The Liu group has used PACE to rapidly evolve a wide variety of proteins with the potential to serve as novel therapeutic agents, as well as to study the reproducibility and path dependence of evolution over thousands of generations in a practical time frame. Liu will also describe a recent effort to use PACE to address a major problem facing worldwide agricultural productivity: the rise of insects resistant to a widely used protein insecticide.
MIT Godel Escher Bach : 6 Lectures
Beauty in physics, mathematics and biology. Gregory Chaitin
During the 2016 Copernicus Festival Gregory Chaitin delivered a lecture entitled “Beauty in physics, mathematics and biology,” in which he tried to show what is the beauty in natural sciences. “The theory is beautiful when it easily explains complicated things” – he said. Gregory John Chaitin is an Argentine-American mathematician and computer scientist. Beginning in the late 1960s, Chaitin made contributions to algorithmic information theory and metamathematics, in particular a computer-theoretic result equivalent to Gödel’s incompleteness theorem. He is considered to be one of the founders of what is today known as Kolmogorov (or Kolmogorov-Chaitin) complexity together with Andrei Kolmogorov and Ray Solomonoff. Today, algorithmic information theory is a common subject in any computer science curriculum.
The Deep Learning Revolution: What Does It Tell Us About Our Understanding of Intelligence?
The surprising success of learning with deep neural networks poses two fundamental challenges: understanding why these networks work so well and what this success tells us about the nature of intelligence and our biological brain.
Our recent Information Theory of Deep Learning shows that large deep networks achieve the optimal tradeoff between training size and accuracy, and that this optimality is achieved through the noise in the learning process. In this talk, I will mainly address the relevance of these findings to the nature of intelligence and the human brain.
Naftali Tishby (Hebrew University of Jerusalem)