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The Connectome and Connectomics: Seeking Neural Circuit Motifs

Talk Overview: The human brain is extremely complex with much greater structural and functional diversity than other organs and this complexity is determined both by one’s experiences and one’s genes. In Part 1 of his talk, Lichtman explains how mapping the connections in the brain (the connectome) may lead to a better understanding of brain function. Together with his colleagues, Lichtman has developed tools to label individual cells in the nervous system with different colors producing beautiful and revealing maps of the neuronal connections.
Using transgenic mice with differently colored, fluorescently labeled proteins in each neuron (Brainbow mice), Lichtman and his colleagues were able to follow the formation and destruction of neuromuscular junctions during mouse development. This work is the focus of Part 2.
In Part 3, Lichtman asks whether some day it might be possible to map all of the neural connections in the brain. He describes the technical advances that have allowed him and his colleagues to begin this endeavor as well as the enormous challenges to deciphering the brain connectome.

Speaker Bio: Jeff Lichtman’s interest in how specific neuronal connections are made and maintained began while he was a MD-PhD student at Washington University in Saint Louis. Lichtman remained at Washington University for nearly 30 years. In 2004, he moved to Harvard University where he is Professor of Molecular and Cellular Biology and a member of the Center for Brain Science.
A major focus of Lichtman’s current research is to decode the map of all the neural connections in the brain. To this end, Lichtman and his colleagues have developed exciting new tools and techniques such as “Brainbow” mice and automated ultra thin tissue slicing machines.

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
AI researchers aim to achieve stability, speed, manipulability and a gain in operational height from for the robot by using machine learning and a 3D printed stick on the robot’s hind legs to allow quadruped transformers to become a humanoid biped robot and walk. Quantum researchers designed a machine learning-based method that shows how artificial controllers can discover non-intuitive pulse sequences that can rapidly cool a mechanical object from high to ultra cold temperatures, faster than other standard methods, which could be used to advance quantum computers. Researchers used deep reinforcement learning to arrange atoms into a lattice shape, which could be used to create new materials and nano devices, including a robot arm mate of atoms.

AI News Timestamps:
0:00 Transformers Robotics Tech.
2:39 Artificial Intelligence To Control Quantum Computer.
5:21 New Nano Scale Robot Arm.

#technology #tech #ai

Apple Inc. recently added audiobook narration to the growing list of occupations where algorithms are poised to replace humans alongside graphic designers, college essayists and limerick writers. Luckily, the fine art of newslettering remains (ahem) far beyond the capabilities of even the most sophisticated artificial intelligence software. Still, hope is at hand for those not fortunate enough to toil in the newsletter mines but still seeking gainful employment that won’t disappear as robots take control.


To remain employed in an AI-dominated workplace, train as an artisan.

In this video I discuss why Neuromorphic processors is the future of AI #NeuromorphicChips #Loihi #IntelNeuromorphic.

➞ Register for Phenom AI Day here:
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TIMESTAMPS:
00:00 — Intro.
00:32 — Phenom AI day (Ad)
01:03 — What is Neuromorphic Chip.
03:19 — Intel Loihi explained.
07:16 — New Intel Loihi 2
09:45 — Analog Neuromorphic chip by Rain Neuromorphic.
10:45 — Other chips.

***
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It can also rotate 220 degrees and lift up to 26.5 ounces of weight.

Supernova, a South Korean startup, has designed HUENIT, a robotic arm to help people with various household chores and creative tasks. Supernova showcased its AI Camera and Robot Arm at CES 2023. The company has been developing innovative robots to help people with everyday tasks.

Although many innovative technologies were showcased at the CES 2023, the Huenit Robot Arm captured the attention of visitors. HUENIT is an easy-to-use AI-based multi-functional robotic arm that combines advanced AI technologies with a modular arm to work on complex tasks with high precision. The robot can do everything from making coffee to 3D printing a prototype.

The robot is used for installing implants.

Could a robot make dentistry speedier and more comfortable? That’s what the new Yomi robot aims to do for implants, according to the device’s website. “We created Yomi to tackle one of the dental procedures people fear the most, implants,” write the robot’s inventors on their site.

The first and only FDA-approved dental surgery robot.

“Yomi is the first and only FDA-cleared robotic system for dental surgery. Through a combination of haptic feedback, intuitive visualization, and audio cues, Yomi helps doctors place implants with superior accuracy and precision.”


Yomi.

Can we wave goodbye to high attorney fees already?

A program trained with the help of artificial intelligence is set to help a defendant contest his case in a U.S. court next month, New Scientist.


Posteriori/iStock.

In a new development, a company, DoNotPay, which has been training AI, has now claimed that its program will be able to defend a speeding case that is due to be heard in a U.S. court in February 2023. Identities of the individual and the court remain under wraps, but we do know that the defendant is contesting a speeding ticket.

ChatGPT has taken the world by storm with its surprisingly sharp replies to prompts. At CES 2023, an expert explained it could kickstart a new wave of AI.

Artificial intelligence is entering a second wave of development as signalled by the likes of ChatGPT, an expert in the field explained Thursday.


NurPhoto / Contributor/Getty Images.

Developed by OpenAI, ChatGPT stunned observers in late 2022 with its ability to produce answers to abstract and complex questions. Speaking at the 2023 Consumer Electronics Show in Las Vegas on Thursday, Zico Kolter, chief scientist of AI at Bosch, explained how the system’s ability to respond to input from a variety of sources move away from application-specific AI systems and toward a more general system that works in a variety of cases.