Such a wonderful personality. One can easily guess he has inspired thousands in his life. Can’t stop smiling while hearing him talk. Thank you Princeton. Thank you professor John Hopfield.
This brief nine-minute discourse highlights how Jhon Hopfield, through his remarkable scientific endeavors, has transcended traditional disciplinary confines, which are often viewed as restrictive boundaries within our nation's academic landscape. He served as a professor of physics for 16 years and played a pivotal role in the establishment of the Princeton Neuroscience Institute. Hopfield holds the esteemed title of Howard A. Prior Professor in Life Sciences, Emeritus, and serves as a professor of molecular biology, Emeritus. He possesses associated faculty status in the disciplines of physics and neuroscience. It is evident that, while he initially focused on a career in physics, he broadened his research pursuits to encompass other fields such as chemistry, neuroscience, and molecular biology, which allowed him to gain insights into the functioning of neurons in the human brain. This journey across various disciplines enables him to make lasting contributions to the fields of physics, chemistry, neuroscience, and molecular biology. Eventually, this allowed him to use the tools of physics to develop methods enabling the construction of learning machines by using the concept of neurons and, fundamentally, their huge connectivity or networks. Consequently, Hopfield networks draw inspiration from the workings of the brain, allowing machines to retain memories and retrieve them using only fragmented information, a concept commonly referred to as associative memory. In our paper titled “A Deep Learning Inspired Belief Rule-Based Expert System,” published in IEEE Access, we elucidated the significance of integrating associative memory within the inference procedures of an expert system, highlighting its crucial role in enhancing prediction accuracy when dealing with substantial datasets. Essentially, when one has the audacity to transcend the confines of their field, they can witness the processes of evolution, integration, and discovery unfold. I propose to characterize it as a framework for interaction, integration, and evolution (IIE). The formulation of IIE in Hopfield’s intellect propelled his pioneering research on neural networks, for which he is now renowned, illustrating the profound impact of inquiry-led exploration in broadening the horizons of comprehension and nurturing innovative solutions to address some of the most pressing challenges confronting the world today.
He already received the Dirac medal and the Bolztmann medal for his work in biophysics. So the Nobel prize committee is not the first to recognize him as a physicist.
Gagamitin natin ang AI sa economics but the 2 person that creat the AI balik po ulit sa federation at mag tulungan paano ito bigyan siguridad para di mapunta sa maling kamay tulad nang Russia at tesla. The money is open for this all para sa ating mundo for the safe of entire universe. Mag tulungan wag hayaan na mapasok tayo nang mga ambition lang ay sa sarili at money. You earn you get job profits pero hiling ko lang po para sa humanity okay god bless po at congrats sa mga nanalo . Deserved po ninyo yan salamat sa inyo katalinuhan
Such a wonderful personality. One can easily guess he has inspired thousands in his life. Can’t stop smiling while hearing him talk. Thank you Princeton. Thank you professor John Hopfield.
This brief nine-minute discourse highlights how Jhon Hopfield, through his remarkable scientific endeavors, has transcended traditional disciplinary confines, which are often viewed as restrictive boundaries within our nation's academic landscape. He served as a professor of physics for 16 years and played a pivotal role in the establishment of the Princeton Neuroscience Institute. Hopfield holds the esteemed title of Howard A. Prior Professor in Life Sciences, Emeritus, and serves as a professor of molecular biology, Emeritus. He possesses associated faculty status in the disciplines of physics and neuroscience. It is evident that, while he initially focused on a career in physics, he broadened his research pursuits to encompass other fields such as chemistry, neuroscience, and molecular biology, which allowed him to gain insights into the functioning of neurons in the human brain. This journey across various disciplines enables him to make lasting contributions to the fields of physics, chemistry, neuroscience, and molecular biology. Eventually, this allowed him to use the tools of physics to develop methods enabling the construction of learning machines by using the concept of neurons and, fundamentally, their huge connectivity or networks. Consequently, Hopfield networks draw inspiration from the workings of the brain, allowing machines to retain memories and retrieve them using only fragmented information, a concept commonly referred to as associative memory. In our paper titled “A Deep Learning Inspired Belief Rule-Based Expert System,” published in IEEE Access, we elucidated the significance of integrating associative memory within the inference procedures of an expert system, highlighting its crucial role in enhancing prediction accuracy when dealing with substantial datasets.
Essentially, when one has the audacity to transcend the confines of their field, they can witness the processes of evolution, integration, and discovery unfold. I propose to characterize it as a framework for interaction, integration, and evolution (IIE). The formulation of IIE in Hopfield’s intellect propelled his pioneering research on neural networks, for which he is now renowned, illustrating the profound impact of inquiry-led exploration in broadening the horizons of comprehension and nurturing innovative solutions to address some of the most pressing challenges confronting the world today.
The true inspiration is having wonderful contribution towards the development of human beings
John blazed the AI trail for Quantum AI creators like Myself to pave with "quantum asphalt".
Congratulations, professor!
Congratulations professor John Hopefield
An amazing, precise and perfect speech
Truly remarkable feat! A pioneer indeed!
I cannot hear the sound in this video. Am I the only one?
You're correct. I can't hear anything also.
it's panned really weird, there is sound on stereo but not mono. So you need to find some stereo speakers and turn off playing as mono
Congratulations Professor John Hopfield
Thank you for amazing, precise speech
Love you Prof.John! 😍😻🐶 Congratulations!!! 🍾🎉
The noble committee has selected me as per the efficiency of my work for the service of mankind directly or indirectly
Wonderful!
Me too
The GOAT 🐐
What does that have to do with physics ?
He already received the Dirac medal and the Bolztmann medal for his work in biophysics. So the Nobel prize committee is not the first to recognize him as a physicist.
There's no voice in the video
Voice?
Mathematics not physics
.ean after giving it to him
How embarrassing is this for you to watch while presenting on this topic? 🏆 🏆 🏆
Coffee 🎉😂
Gagamitin natin ang AI sa economics but the 2 person that creat the AI balik po ulit sa federation at mag tulungan paano ito bigyan siguridad para di mapunta sa maling kamay tulad nang Russia at tesla. The money is open for this all para sa ating mundo for the safe of entire universe. Mag tulungan wag hayaan na mapasok tayo nang mga ambition lang ay sa sarili at money. You earn you get job profits pero hiling ko lang po para sa humanity okay god bless po at congrats sa mga nanalo . Deserved po ninyo yan salamat sa inyo katalinuhan
no sound
Congrat 👍👍👍