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Symposium on Visions of the Theory of Computing 2013

theoretical computer scientists, machine learning researchers, computational neuroscientists, quantum computing researchers, computational biologists, cryptographers, data scientists, algorithm designers

computational models of cortex; quantum supremacy and Majorana hardware; diffusive influence systems; sequence graphs for genomes; strong perfect graph theorem; social cascade and hotspot models; zero-knowledge and verifiable computation; statistical physics of random k-SAT; streaming algorithms: Count-Min and L0 sampling; sparse distributed representations and sequence memory; online learning platforms and MOOC design; DNA nanotechnology self-assembly

titleauthorlength
What Should a Computational Theory of Cortex Explain?Leslie Valiant57m
Argues a concrete cortical model with three resource parameters (n, d, K) and local neuron programs, formalizes operations: hierarchical memorization…
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Quantum Computing and the Entanglement FrontierJohn Preskill01h 00m
Argues that scaling into the entanglement frontier promises genuine quantum supremacy for tasks like simulating quantum field theory and running Shor’s…
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Why Biology is DifferentBernard Chazelle46m
Claims that diffusive influence systems are almost surely asymptotically periodic yet can encode chaos and Turing machines on fractal, measure-zero Cantor…
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Big Data and New Models Needed to Study DNA Variation in Evolution and CancerDavid Haussler57m
Project aims to sequence 10,000 vertebrate genomes and turn tissues into iPS-derived cortical neurospheres, then use RNA‑seq and chromatin assays to pinpoint…
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Perfection and BeyondMaria Chudnovsky49m
Describes the proof that Strong Perfect Graph Theorem holds via a triple of results: classify Berge graphs as five basic classes (bipartite, complements…
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Bursts, Cascades, and Hot Spots: Algorithmic Models of Social PhenomenaJon Kleinberg01h 15m
Uses geotagged Flickr photos (2009) and a mean shift density search plus Bayes‑style tag scoring to find hotspots at 100 km and 100 m scales, producing the top…
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The Cryptographic Lens: Visions of our Past and FutureShafi Goldwasser57m
Cryptography reframes theory: zero-knowledge proofs let a verifier be convinced without learning a witness; interactive proofs expand verification power…
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"More is Different." Also in Computing?Marc Mézard01h 04m
Argues that statistical‑physics tools (replica/cavity/mean‑field) yield concrete, testable claims: random k‑SAT has a sharp threshold at alpha_c ≈ 4.2667…
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Theory of Data StreamsS. Muthu Muthukrishnan55m
Describes two concrete streaming primitives and what they actually achieve: Count-Min Sketch uses O(1/ε · log(1/δ)) counters, O(log(1/δ)) update time, and…
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Intelligence and Machines: Creating Intelligent Machines By Modeling the BrainJeff Hawkins59m
Claim: intelligence is the ability to learn a sensory‑motor model of the world by implementing neocortical principles. Implements sparse distributed…
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The Online Revolution: Learning Without LimitsDaphne Koller57m
A global platform is spun out from Stanford in 2012 and grows to partner with ~70 universities offering 374 courses to 3.7 million learners, with early courses…
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Programming Nanoscale Structure Using DNA-Based InformationNed Seeman58m
Describes programmable DNA motifs that produce working structures: 32 nm stripe spacing appears in AFM for DX 2D lattices; triangular DNA motifs self-assemble…
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Consumer Behavior and Algorithm DesignPrabhakar Raghavan58m
Claims that consumer-facing computing reshapes algorithms and gives concrete wins: a web adjacency scheme compresses links to about three bits per edge (MSR…
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Market Design and Computer-Assisted Markets: An Economist's PerspectiveAlvin Roth56m
Shows that running a deferred acceptance algorithm by phone with a fixed 7‑hour selection day creates congestion: offers take five minutes and rejections one…
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Evolution and ComputationChristos Papadimitriou01h 03m
Claim: under weak selection classical Fisher‑Wright population genetics is equivalent to a repeated game run by genes using the multiplicative weights update…
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The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of ScienceJudea Pearl01h 01m
Argues that causal questions require structural models, not just distributions, and gives concrete tools: structural equations, graphs and do-calculus with…
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The Gospel According to TCSAvi Wigderson01h 01m
Survey of core theoretical computer science claims that maps concrete tools to outcomes: polynomial-time reductions and NP-complete gadgets explain why…
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The Modern Astrophysics Stack: Automated Action and InsightJosh Bloom01h 04m
Describes an automated end-to-end pipeline: robotic telescopes that slew to GRBs within a minute, a survey ingesting 1.5 million nightly candidates that…
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