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01:31:45 Prof. Hasler: Physical Neuromorphic Computing Prof. Hasler: Physical Neuromorphic Computing	Prof. Hasler: Physical Neuromorphic Computing Discussion of analog CMOS computation and parallels to biological neurons. Prof. Hasler points out that the exponential voltage controls found in MOS devices can be used to more accurately model… analog computing neuromorphic computing hodgkin huxley models synapses dendrites mosfet cmos things neurons sort lot thing dynamics point couple potential neuron bunch question questions synapse stuff channel conversation sense word path From Luis El Srouji on July 27th, 2021 0 likes 10 plays 0
01:22 Brian Cox explains quantum mechanics in 60… Brian Cox explains quantum mechanics in 60 seconds	Brian Cox explains quantum mechanics in 60 seconds from BBC News https://www.youtube.com/watch?v=fcfQkxwz4Oo probability rule particle room action place particles mechanics minute move rest formulation path point points corner electron quantities distance mass From John Terning on June 14th, 2021 0 likes 8 plays 0
05:07 An FDD-based Full-Duplex Sub-THz Interconnect… An FDD-based Full-Duplex Sub-THz Interconnect with Data-rate of 22.6 Gb/s and Energy-Efficiency of 1.58pJ/bit	An FDD-based Full-Duplex Sub-THz Interconnect with Data-rate of 22.6 Gb/s and Energy-Efficiency of 1.58pJ/bit Integrated Circuits and Systems 12 Team Lead: Xuan Ding Advisor: Prof. Gu power figure bandwidth efficiency components loss transmitter waveguide points error care paper sensitivity output amplifier path measure kilohertz insertion bands From Femi-Jide Akinmoladun on May 11th, 2021 0 likes 4 plays 0
15:53 ECS 220 9b:8.5 Immerman-Szelepcsényi… ECS 220 9b:8.5 Immerman-Szelepcsényi Theorem NSPACE(s(n)) = coNSPACE(s(n)) for s(n) ≥ log(n)	ECS 220 9b:8.5 Immerman-Szelepcsényi Theorem NSPACE(s(n)) = coNSPACE(s(n)) for s(n) ≥ log(n) space nodes reachability path algorithm node error steps bit proof paths length end graph zeros pad linear log guesses step From David Doty on March 21st, 2021 0 likes 15 plays 0
11:57 ECS 220 8c:8.6-1 Reachability expressed… ECS 220 8c:8.6-1 Reachability expressed logically, and as a game between prover and skeptic	ECS 220 8c:8.6-1 Reachability expressed logically, and as a game between prover and skeptic edge path nodes length reachability phi midpoint size quantifiers input steps graph string idea space witnesses step b1 a1 skeptic From David Doty on March 21st, 2021 0 likes 10 plays 0
09:03 ECS 220 8c:8.4 Savitch's theorem… ECS 220 8c:8.4 Savitch's theorem space-bounded deterministic simulation of space-bounded nondeterminism, space usage of Savitch_s algorithm	ECS 220 8c:8.4 Savitch's theorem space-bounded deterministic simulation of space-bounded nondeterminism, space usage of Savitch_s algorithm space log algorithm path nodes length graph reachability recursion n. bits half memory point root levels level node call stack From David Doty on March 21st, 2021 0 likes 13 plays 0
06:57 ECS 220 8b:8.2 Reachability ECS 220 8b:8.2 Reachability	ECS 220 8b:8.2 Reachability graph space reachability configuration nodes problem path machine log edges graphs size input memory node computation degree fact nondeterministic thing From David Doty on March 21st, 2021 0 likes 18 plays 0
05:20 ECS 220 8a:8.2 NL and NPSPACE nondeterministic… ECS 220 8a:8.2 NL and NPSPACE nondeterministic space-bounded computation and prover-verifier characterization	ECS 220 8a:8.2 NL and NPSPACE nondeterministic space-bounded computation and prover-verifier characterization space characterization witness length access bits verifier w. np instance path problem computation tape slide memory answer algorithm machine turing From David Doty on March 21st, 2021 0 likes 19 plays 0
08:05 ECS 220 3b:5.4-3 Max-Cut ECS 220 3b:5.4-3 Max-Cut	ECS 220 3b:5.4-3 Max-Cut cut edges edge node clause graph problem colors size formula max idea path opposite orange variables coloring weight gadget tile From David Doty on March 21st, 2021 0 likes 16 plays 0
11:09 ECS 220 2b:5.1 NP-completeness and reductions ECS 220 2b:5.1 NP-completeness and reductions	ECS 220 2b:5.1 NP-completeness and reductions problem np reduction problems instance input words b. reductions path graph verifier length urinary answer thing class lot 31st language From David Doty on March 21st, 2021 0 likes 41 plays 0
04:42 ECS 220 2b:4.3-4 logical structure of NP and coNP ECS 220 2b:4.3-4 logical structure of NP and coNP	ECS 220 2b:4.3-4 logical structure of NP and coNP np property problems class compliment statement path answer problem equals proof algorithm complement law graph words question decision statements paths From David Doty on March 21st, 2021 0 likes 23 plays 0
04:10 ECS 220 2b:4.3-3 problems not obviously in NP ECS 220 2b:4.3-3 problems not obviously in NP	ECS 220 2b:4.3-3 problems not obviously in NP np problem integers size solution integer equation proof inequalities circuit function graph path variables equations linear witnesses bits answer question From David Doty on March 21st, 2021 0 likes 22 plays 0
05:22 ECS 220 1c:4.1 needles and haystacks ECS 220 1c:4.1 needles and haystacks	ECS 220 1c:4.1 needles and haystacks path algorithm problem np proof answer graph level question definition input decision class proofs subset step solution problems instance instances From David Doty on March 21st, 2021 0 likes 31 plays 0
09:53 ECS 220 1a:2.1 problems and solutions ECS 220 1a:2.1 problems and solutions	ECS 220 1a:2.1 problems and solutions problem divisor algorithm graph decision mod b. function path gcd string graphs squares machines definition star language strings sense inputs From David Doty on March 21st, 2021 0 likes 45 plays 0
16:04 ECS 220 1a:1 high-level overview of course topics ECS 220 1a:1 high-level overview of course topics	ECS 220 1a:1 high-level overview of course topics problem cycle graph problems path algorithm question nodes node solution characterization edge answer decision times input lot factoring solutions degree From David Doty on March 21st, 2021 0 likes 59 plays 0
09:56 ECS 120 8a:1 exponential-time algorithms for NP… ECS 120 8a:1 exponential-time algorithms for NP problems	ECS 120 8a:1 exponential-time algorithms for NP problems verifier np length problem k. string path witness end times sum algorithm x. subset decider input language definition witnesses power From David Doty on March 20th, 2021 0 likes 79 plays 0