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A team of scientists from Bengaluru’s Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR) has developed a device that can emulate the cognitive actions of a human brain, and is more efficient than conventional techniques. The new AI technology enhances computational speed and power consumption efficiency. The team fabricated an artificial synaptic network (ASN), resembling the biological neural network, through a simple self-forming method. Scientists said that the device structure is formed by itself while heating. While aiming to develop a synaptic device for neuromorphic applications, the team also explored a material system that mimicked neuronal bodies and axonal network connectivity, similar to that in the biological system.

The scientists said that a human brain consists of 100 billion neurons comprising axons and dendrites. These neurons interconnect with each other via axons and dendrites and form colossal junctions called a synapse. This complex bio-neural network gives rise to superior cognitive abilities, scientists believe, adding that artificial neural networks (ANN), based on software, were seen defeating humans in games such as AlphaGo and AlphaZero and even helping handle the COVID-19 situation.

Researchers said that while the power-hungry von Neumann computer architecture slows down ANN performance due to the available serial processing, the brain does the job via parallel processing, consuming just 20W of power.

Scientists said that the JNCASR team dewetted Silver metal to form branched islands and nanoparticles with nanogap separations to resemble bio neurons and neurotransmitters, where dewetting is a process of rupture of continuous film into disconnected/isolated islands or spherical particles.

“With such an architecture, several higher-order cognitive activities are emulated,” the team explained in a Ministry of Science & Technology press release.

They said that using programmed electrical signals as a real-world stimulus, this hierarchical structure emulated various learning activities such as short-term memory (STM), long-term memory (LTM), potentiation, depression, associative learning, interest-based learning, supervision, impression of supervision, and more.

Not just that, the synaptic fatigue following excessive learning and its self-recovery was also mimicked, and quite remarkably, these behaviours were emulated in a single material system without the aid of external CMOS circuits, scientists said.

The team has developed a prototype kit to emulate Pavlov’s dog behaviour that demonstrates the potential of this device towards neuromorphic artificial intelligence. It’s a remarkable achievement because the JNCASR team has taken a step further towards accomplishing advanced neuromorphic artificial intelligence by organising a nanomaterial resembling the biological neural substance.


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Elon Musk’s Neuralink Cleared to Start Brain Chip Trial in Canada

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Elon Musk’s Neuralink Cleared to Start Brain Chip Trial in Canada

Canada’s University Health Network said its Toronto Western Hospital would be the first non-US site of a trial for a device created by Neuralink Corp., Elon Musk’s brain-implant company. 

“We are incredibly proud to be at the forefront of this research advancement in neurosurgery,” UHN Chief Executive Officer Kevin Smith said in an announcement. He also said UHN would be the “first and exclusive” site for the trial in Canada, but did not say when it would begin.

On Wednesday, Neuralink said that it had received approval from regulators in Canada to launch clinical trials for its device in that country.

“Health Canada has approved the launch of our first clinical trial in Canada!” the company posted on X, the social media service also owned by Musk. “Recruitment is now open.”

Neuralink added that it was seeking patients with Quadriplegia due to ALS, also known as Lou Gehrig’s disease, or spinal cord injury.

Health Canada didn’t immediately provide a comment.

For months, Neuralink has been recruiting patients in the US, UK and Canada, with links to a registry on its website. Other companies in the field, such as Synchron Inc., are recruiting for their own future trials.

Neuralink’s first product aims to allow patients to control external devices, such as computers, through their thoughts. Neuralink is also working on treating other conditions such as blindness, but that project is further away. In the distant future, Musk has said Neuralink could work with healthy patients on functions such as augmenting memory.

Its first human patient, Noland Arbaugh, was implanted with Neuralink’s device earlier this year, at the Barrow Neurological Institute in Phoenix.

© 2024 Bloomberg L.P.

(This story has not been edited by NDTV staff and is auto-generated from a syndicated feed.)

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NASA’s Perseverance Rover Finds Organic Molecules on Mars

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NASA’s Perseverance Rover Finds Organic Molecules on Mars

NASA‘s Perseverance rover, currently exploring Mars’ Jezero Crater, has detected carbon-based molecules that may hint at ancient life on the Red Planet. These findings, reported last summer, were made using SHERLOC (Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals), an advanced instrument capable of identifying potential organic compounds. While the discovery has raised hopes within the scientific community, questions about its accuracy remain, as researchers consider alternative explanations for the data.

Detection of Organic Molecules and Its Challenges

The SHERLOC instrument utilises two techniques: ultraviolet luminescence and Raman spectroscopy. Dr Ken Farley, Project Scientist for the Perseverance mission, explained that SHERLOC can detect organic matter potentially present in Mars’ environment. Luminescence, while highly sensitive, lacks specificity, as non-organic materials can also produce similar signals. Raman spectroscopy provides more precise chemical fingerprints, but its sensitivity is limited. This combination allows researchers to hypothesise about the presence of organic molecules, but uncertainties in the data complicate definitive conclusions.

Potential Alternative Explanations

A study published in Science Advances posited that the detected signals could originate from inorganic substances, such as defects in minerals like phosphate and silicate or the presence of cesium ions. Dr Eva Scheller, a planetary scientist at MIT and co-author of the study, highlighted that multiple chemical compositions can produce similar spectral patterns. Such overlaps, known as degeneracy in spectroscopy, make it challenging to interpret data reliably. The original researchers also acknowledged these alternative explanations, underscoring the inherent difficulties of remote Mars analyses.

Implications and Future Investigations

While the presence of organic molecules might not confirm life, Jezero Crater’s history as an ancient lakebed increases the significance of the discovery. Both Farley and Scheller agree that a Mars Sample Return mission could provide the clarity necessary to determine whether these compounds originated from biological or abiotic processes. Until then, debates surrounding the findings are expected to continue, illustrating the evolving nature of scientific inquiry.

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NASA Showcases New AI Tools That Can Help In Scientific Research

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NASA Showcases New AI Tools That Can Help In Scientific Research

At the Supercomputing Conference or SC2024, NASA’s Associate Administrator for the Science Mission Directorate, Nicola Fox, detailed new computational tools intended to advance space science. NASA plans to employ a large language model across its science divisions, bolstered by foundation models tailored to Earth science, heliophysics, astrophysics, planetary science, and biological and physical sciences. This strategy was illustrated through a heliophysics foundation model, which applies extensive data from NASA’s Solar Dynamics Observatory to forecast solar wind events and track sunspot activity.

Evolution of Space Computing and the Voyager Missions

Fox recounted how NASA’s Voyager missions, launched in the 1970s, served as milestones in computing for space exploration. Operating with early semiconductor memory, these spacecraft provided unique insights, including discoveries of Jupiter’s faint ring and Saturn’s additional moons.

Although far surpassed by modern technology, the Voyager missions revealed the possibilities for future computational breakthroughs in space science. Since then, NASA’s computational requirements have expanded, with over 140 petabytes of data now stored and shared under open science policies, allowing global scientists to access and benefit from NASA’s research.

Real-Time Data and Earth Observation Advances

NASA’s Earth Information Center was presented as a prime example of federal collaboration. It integrated data on environmental changes with insights from agencies such as NOAA and the EPA.

Using data from satellite missions, Fox showcased NASA’s ability to observe natural events like wildfires in near real-time. She also noted advancements in wildfire detection from polar-orbiting satellites, allowing precise tracking of hot spots. She said that data-driven efforts like these are critical as NASA continues to enhance the monitoring of natural phenomena on Earth.

Searching for Life Beyond Earth

Towards the end, she addressed NASA’s ongoing investigations into extraterrestrial life. Recent studies of exoplanets, such as LP 791-18d, underscore this pursuit. NASA’s observatories, including the Transiting Exoplanet Survey Satellite (TESS). It has facilitated the detection of thousands of exoplanets, aiding in the search for conditions that might support life beyond Earth.

Fox concluded by highlighting the powerful role that AI and computing now play in analysing the massive datasets produced by NASA’s missions, making it possible to explore questions that were previously out of reach.

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