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Peter Morgan

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titleconferencedate
Myth & Truth behind Artificial General IntelligenceDSC Europe 20222022-11-14
Claim: current deep learning on GPUs and TPUs cannot produce AGI because it is statistical and power-hungry; building AGI requires neuromorphic processors that…
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Data Discussion - AI for GoodData Science Conference 5.02019-11-19
Concrete projects include using GANs and geomancer to synthesize realistic Amazon-2030 imagery and detect small fires, combining satellite imagery with drone…
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An Evolution of a Betting Engine at William HillCode Mesh 20152015-11-03
Claims concrete scaling numbers 464 bets/sec, 5,000,000 price changes/day and 160TB/day and a working stream architecture built in Erlang with Apache Kafka and…
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Under the Hood: Engineering at William HillErlang User Conference 20152015-06-11
464 bets per second, 5,000,000 daily price changes and 160TB/day flow through a 24x7 platform that uses Apache Kafka as the firehose to persist and replay…
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