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Neuromorphic Computing Is a Big Deal for A.I., But What Is It?
Engineering computers to work like brains could revolutionize technology as we know it. Here’s everything you need to know about neuromorphic computing.
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Neural Networks: How Do Robots Teach Themselves? - https://youtu.be/BR4dqbUSYDY
Read More:
Thinking in Silicon
https://www.technologyreview.com/s/522476/thinking-in-silicon/
“Computers are incredibly inefficient at lots of tasks that are easy for even the simplest brains, such as recognizing images and navigating in unfamiliar spaces. Machines found in research labs or vast data centers can perform such tasks, but they are huge and energy-hungry, and they need specialized programming.”
SpiNNaker Home Page
http://apt.cs.manchester.ac.uk/projects/SpiNNaker/
“SpiNNaker is a novel computer architecture inspired by the working of the human brain. A SpiNNaker machine is a massively parallel computing platform, targeted towards three main areas of research: neuroscience, robotics, and computer science.
Breakthrough in construction of computers for mimicking human brain
https://www.sciencedaily.com/releases/2018/07/180711093119.htm
“A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research.”
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Elements is more than just a science show. It’s your science-loving best friend, tasked with keeping you updated and interested on all the compelling, innovative and groundbreaking science happening all around us. Join our passionate hosts as they help break down and present fascinating science, from quarks to quantum theory and beyond.
Seeker explains every aspect of our world through a lens of science, inspiring a new generation of curious minds who want to know how today’s discoveries in science, math, engineering and technology are impacting our lives, and shaping our future. Our stories parse meaning from the noise in a world of rapidly changing information.
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Get 20% off http://www.domain.com domain names and web hosting ...when you use coupon code SEEKER at checkout!
Neural Networks: How Do Robots Teach Themselves? - https://youtu.be/BR4dqbUSYDY
Read More:
Thinking in Silicon
https://www.technologyreview.com/s/522476/thinking-in-silicon/
“Computers are incredibly inefficient at lots of tasks that are easy for even the simplest brains, such as recognizing images and navigating in unfamiliar spaces. Machines found in research labs or vast data centers can perform such tasks, but they are huge and energy-hungry, and they need specialized programming.”
SpiNNaker Home Page
http://apt.cs.manchester.ac.uk/projects/SpiNNaker/
“SpiNNaker is a novel computer architecture inspired by the working of the human brain. A SpiNNaker machine is a massively parallel computing platform, targeted towards three main areas of research: neuroscience, robotics, and computer science.
Breakthrough in construction of computers for mimicking human brain
https://www.sciencedaily.com/releases/2018/07/180711093119.htm
“A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research.”
____________________
Elements is more than just a science show. It’s your science-loving best friend, tasked with keeping you updated and interested on all the compelling, innovative and groundbreaking science happening all around us. Join our passionate hosts as they help break down and present fascinating science, from quarks to quantum theory and beyond.
Seeker explains every aspect of our world through a lens of science, inspiring a new generation of curious minds who want to know how today’s discoveries in science, math, engineering and technology are impacting our lives, and shaping our future. Our stories parse meaning from the noise in a world of rapidly changing information.
Visit the Seeker website https://www.seeker.com/videos
Elements on Facebook https://www.facebook.com/SeekerElements/
Subscribe now! http://www.youtube.com/subscription_center?add_user=dnewschannel
Seeker on Twitter http://twitter.com/seeker
Seeker on Facebook https://www.facebook.com/SeekerMedia/
Seeker http://www.seeker.com/

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Lecture - 1 Memory organization

Lecture - 1 Memory organization

Lecture - 2.1 Segregation of Memory Devices

Lecture - 2.2 Memory arrays and characteristics

Lecture - 3 Memory Market

Lecture 4 - Memory Array Architecture

Lecture 5 - Read and Write operation in SRAM

Lecture 6 - Read/Write conflict and Other SRAM cells

Lecture 8 - SRAM peripheral circuitry

Lecture 7 - Noise Margin in SRAM

Lecture 9 - Introduction to DRAMs

Lecture 10 - Single-ended sensing and organization of DRAM

Lecture 11 - Introduction to Flash Memory

Lecture 12 - NAND and NOR Flash memory

Lecture 13 - Reliability of Flash memory

Lecture 14 - Multi-bit Capability in Flash memory

Lecture 15 - Organization of NAND flash memory

Lecture 17 - 3D Vertical Channel Flash memory

Lecture 18 - Fabrication of BiCS Flash cell

Lecture 16 - Charge-Trap Flash memory

Lecture 19 - Advance 3D NAND Flash configurations

Lecture 20 - Issues with 3D NAND flash memory

Lecture 21 - Phase-change Materials

Lecture 22 - Phase-change Memories

Lecture 23 - Resistive RAMs

Lecture 24 - RRAM characteristics

Lecture 25 - Conductive Bridge RAM/Programmable Metallization Cell

Lecture 26 - Ferroelectric Memories

Lecture 27 - Physical Unclonable functions

Lecture 28 - Random Number Generators

Lecture 29 - Neuromorphic Computing and Neurobiology

Lecture 30 - Synapses and their learning rule

Lecture 31 - Mapping Neural Networks to Hardware