
#73 – John Hopfield: Artificial Neural Networks and Speech Processing (1988)
02/18/24 • 81 min
John Joseph Hopfield (born July 15, 1933) is an American scientist most widely known for his invention of an associative neural network in 1982. It is now more commonly known as the Hopfield network.
Hopfield was born in 1933 to Polish physicist John Joseph Hopfield and physicist Helen Hopfield. Helen was the older Hopfield's second wife. He is the sixth of Hopfield's children and has three children and six grandchildren of his own.
He received his A.B. from Swarthmore College in 1954, and a Ph.D. in physics from Cornell University in 1958 (supervised by Albert Overhauser). He spent two years in the theory group at Bell Laboratories, and subsequently was a faculty member at University of California, Berkeley (physics), Princeton University (physics), California Institute of Technology (chemistry and biology) and again at Princeton, where he is the Howard A. Prior Professor of Molecular Biology, emeritus. For 35 years, he also continued a strong connection with Bell Laboratories.
In 1986 he was a co-founder of the Computation and Neural Systems PhD program at Caltech.
His most influential papers have been "The Contribution of Excitons to the Complex Dielectric Constant of Crystals" (1958), describing the polariton; "Electron transfer between biological molecules by thermally activated tunneling" (1974), describing the quantum mechanics of long-range electron transfers; "Kinetic Proofreading: a New Mechanism for Reducing Errors in Biosynthetic Processes Requiring High Specificity" (1974); "Neural networks and physical systems with emergent collective computational abilities" (1982) (known as the Hopfield Network) and, with D. W. Tank, "Neural computation of decisions in optimization problems" (1985). His current research and recent papers are chiefly focused on the ways in which action potential timing and synchrony can be used in neurobiological computation.
CHAPTERS:
(00:00) Intro
(06:00) Artificial Neural Networks and Speech Processing
(01:04:19) Q&A
--- Support this podcast: https://podcasters.spotify.com/pod/show/theunadulteratedintellect/supportJohn Joseph Hopfield (born July 15, 1933) is an American scientist most widely known for his invention of an associative neural network in 1982. It is now more commonly known as the Hopfield network.
Hopfield was born in 1933 to Polish physicist John Joseph Hopfield and physicist Helen Hopfield. Helen was the older Hopfield's second wife. He is the sixth of Hopfield's children and has three children and six grandchildren of his own.
He received his A.B. from Swarthmore College in 1954, and a Ph.D. in physics from Cornell University in 1958 (supervised by Albert Overhauser). He spent two years in the theory group at Bell Laboratories, and subsequently was a faculty member at University of California, Berkeley (physics), Princeton University (physics), California Institute of Technology (chemistry and biology) and again at Princeton, where he is the Howard A. Prior Professor of Molecular Biology, emeritus. For 35 years, he also continued a strong connection with Bell Laboratories.
In 1986 he was a co-founder of the Computation and Neural Systems PhD program at Caltech.
His most influential papers have been "The Contribution of Excitons to the Complex Dielectric Constant of Crystals" (1958), describing the polariton; "Electron transfer between biological molecules by thermally activated tunneling" (1974), describing the quantum mechanics of long-range electron transfers; "Kinetic Proofreading: a New Mechanism for Reducing Errors in Biosynthetic Processes Requiring High Specificity" (1974); "Neural networks and physical systems with emergent collective computational abilities" (1982) (known as the Hopfield Network) and, with D. W. Tank, "Neural computation of decisions in optimization problems" (1985). His current research and recent papers are chiefly focused on the ways in which action potential timing and synchrony can be used in neurobiological computation.
CHAPTERS:
(00:00) Intro
(06:00) Artificial Neural Networks and Speech Processing
(01:04:19) Q&A
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#72 – Arthur Conan Doyle: Brief Interview on the Origins of the “Monstrous Growth” Sherlock Holmes and the Importance of Psychic Matters (1929)
Sir Arthur Ignatius Conan Doyle (22 May 1859 – 7 July 1930) was a British writer and physician. He created the character Sherlock Holmes in 1887 for A Study in Scarlet, the first of four novels and fifty-six short stories about Holmes and Dr. Watson. The Sherlock Holmes stories are milestones in the field of crime fiction.
Doyle was a prolific writer; other than Holmes stories, his works include fantasy and science fiction stories about Professor Challenger, and humorous stories about the Napoleonic soldier Brigadier Gerard, as well as plays, romances, poetry, non-fiction, and historical novels. One of Doyle's early short stories, "J. Habakuk Jephson's Statement" (1884), helped to popularize the mystery of the Mary Celeste.
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#74 – Paul Dirac: Four Lectures at Christchurch, New Zealand, 1975 – Quantum Mechanics, Quantum Electrodynamics, Magnetic Monopoles, and Does 'G' Vary? (Large Numbers Hypothesis)
Paul Adrien Maurice Dirac (8 August 1902 – 20 October 1984) was an English mathematical and theoretical physicist who is considered to be one of the founders of quantum mechanics and quantum electrodynamics. He is credited with laying the foundations of quantum field theory. He was the Lucasian Professor of Mathematics at the University of Cambridge, a professor of physics at Florida State University and the University of Miami, and a 1933 Nobel Prize in Physics recipient.
Dirac made fundamental contributions to the early development of both quantum mechanics and quantum electrodynamics, coining the latter term. Among other discoveries, he formulated the Dirac equation in 1928, which describes the behaviour of fermions and predicted the existence of antimatter, and is considered one of the most important equations in physics, with it being considered by some to be the "real seed of modern physics". He wrote a famous paper in 1931, which further predicted the existence of antimatter. Dirac shared the 1933 Nobel Prize in Physics with Erwin Schrödinger "for the discovery of new productive forms of atomic theory". He also made significant contributions to the reconciliation of general relativity with quantum mechanics. His 1930 monograph, The Principles of Quantum Mechanics, is considered to be one of the most influential texts on quantum mechanics.
Dirac's contributions were not only restricted to quantum mechanics. He contributed to the Tube Alloys project, the British programme to research and construct atomic bombs during World War II. Furthermore, Dirac made fundamental contributions to the process of uranium enrichment and the gas centrifuge, and whose work was deemed to be "probably the most important theoretical result in centrifuge technology". He also contributed to cosmology, putting forth his large numbers hypothesis. Dirac is also seen as having anticipated string theory well before its inception, with his work on the Dirac membrane and Dirac–Born–Infeld action, amongst other contributions.
Dirac was regarded by his friends and colleagues as unusual in character. In a 1926 letter to Paul Ehrenfest, Albert Einstein wrote of a Dirac paper, "I am toiling over Dirac. This balancing on the dizzying path between genius and madness is awful." In another letter concerning the Compton effect he wrote, "I don't understand the details of Dirac at all." In 1987, Abdus Salam stated that "Dirac was undoubtedly one of the greatest physicists of this or any century . . . No man except Einstein has had such a decisive influence, in so short a time, on the course of physics in this century."
Lectures on Quantum Mechanics – https://amzn.to/3Q7ojMm
The Principles of Quantum Mechanics – https://amzn.to/443HUTu
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Chapters:
(00:00) Lecture 1: Quantum Mechanics
(59:32) Lecture 2: Quantum Electrodynamics
(2:04:06) Lecture 3: Magnetic Monopoles
(2:54:58) Lecture 4: Does 'G' Vary? (Large Numbers Hypothesis)
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