Scientists have fabricated a device that can mimic human brain cognitive actions and is more efficient than conventional techniques in emulating artificial intelligence, thus enhancing the computational speed and power consumption efficiency.
[wptelegram-join-channel link=”https://t.me/s/upsctree” text=”Join @upsctree on Telegram”]
Artificial intelligence is now a part of our daily lives, starting from email filters and smart replies in communication to helping battle the Covid-19 pandemic. But AI can do much more such as facilitate self-driving autonomous vehicles, augmented reality for healthcare, drug discovery, big data handling, real-time pattern/image recognition, solving real-world problems, and so on.
These can be realised with the help of a neuromorphic device which can mimic the human brain synapse to bring about brain-inspired efficient computing ability. The human brain comprises of nearly a hundred billion neurons consisting of axons and dendrites. These neurons massively interconnect with each other via axons and dendrites, forming colossal junctions called synapse. This complex bio-neural network is believed to give rise to superior cognitive abilities.
Software-based artificial neural networks (ANN) can be seen defeating humans in games (AlphaGo and AlphaZero) or helping handle the Covid-19 situation. However, the power-hungry (in megawatts) von Neumann computer architecture slows down ANNs performance due to the available serial processing while the brain does the job via parallel processing consuming just 20 W.
It is estimated that the brain consumes 20% of the total body energy. From the calory conversion, it amounts to 20 watts. While the conventional computing platforms consume megawatts, i.e., 10 lakh watts of energy, to mimic basic human cognition.
To overcome this bottleneck, a hardware-based solution involves an artificial synaptic device that, unlike transistors, could emulate the functions of human brain synapse. Scientists had long been trying to develop a synaptic device that can mimic complex psychological behaviors without the aid of external supporting (CMOS) circuits.
To address this challenge, Scientists from Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru, an autonomous institute of the Department of Science & Technology, Government of India, devised a novel approach of fabricating an artificial synaptic network (ASN) resembling the biological neural network via a simple self-forming method (the device structure is formed by itself while heating). This work has been recently published in the journal ‘Materials Horizons’.
Aiming to develop a synaptic device for neuromorphic applications with a humble fabrication method, the JNCASR team explored a material system mimicking neuronal bodies and axonal network connectivity much like the biological system. In order to realize such a structure, they found that a self-forming process was easy, scalable, and cost-effective.
In their research JNCASR team dewetted Silver (Ag) 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 fabricated artificial synaptic network (ASN) consisted of Silver (Ag) agglomerates network separated by nanogaps filled with isolated nanoparticles. They found that dewetting Ag film at a higher temperature resulted in the formation of island structures separated by nanogaps resembling the bio-neural network.
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, etc. impression of supervision.
Synaptic fatigue due to excessive learning and its self-recovery was also mimicked. Remarkably, all these behaviors were emulated in a single material system without the aid of external CMOS circuits. A prototype kit has been developed to emulate Pavlov’s dog behavior which demonstrates the potential of this device towards neuromorphic artificial intelligence. By organizing a nanomaterial resembling the biological neural substance, the JNCASR team has moved a step further in accomplishing advanced neuromorphic artificial intelligence.
Nature has had an incredible amount of time and diversity to engineer ever new forms and functions through evolution. Learning and emulating new processes, technologies, materials and devices from the nature and biology are the important pathways to the significant advances of the future which will increasingly integrate the worlds of the living with the man-made technologies.
Pavlov’s dog -Classical Conditioning
First discovered by Russian physiologist Ivan Pavlov, this method of conditioning focuses on pairing a neutral stimulus with the response from a biologically potent stimulus. This can be seen in the example of Pavlov’s dogs.
The physiologist discovered this phenomenon when he was studying digestion in dogs. When the food was brought in, the dogs salivated; an involuntary biological response to food. However, he experimented with ringing a bell every time the food was brought in, thus creating a connection between the sound of the bell and the food.
This resulted in the dogs salivating whenever they heard the bell ring, thus being ‘conditioned’ to respond in a way similar to how they would to a conditioned stimulus (food), except without the stimulus being present. Thus, they had ‘learned’ that the sound of the bell meant food was coming.
Receive Daily Updates
Recent Posts
[wptelegram-join-channel link=”https://t.me/s/upsctree” text=”Join @upsctree on Telegram”]2021 WEF Global Gender Gap report, which confirmed its 2016 finding of a decline in worldwide progress towards gender parity.
Over 2.8 billion women are legally restricted from having the same choice of jobs as men. As many as 104 countries still have laws preventing women from working in specific jobs, 59 countries have no laws on sexual harassment in the workplace, and it is astonishing that a handful of countries still allow husbands to legally stop their wives from working.
Globally, women’s participation in the labour force is estimated at 63% (as against 94% of men who participate), but India’s is at a dismal 25% or so currently. Most women are in informal and vulnerable employment—domestic help, agriculture, etc—and are always paid less than men.
Recent reports from Assam suggest that women workers in plantations are paid much less than men and never promoted to supervisory roles. The gender wage gap is about 24% globally, and women have lost far more jobs than men during lockdowns.
The problem of gender disparity is compounded by hurdles put up by governments, society and businesses: unequal access to social security schemes, banking services, education, digital services and so on, even as a glass ceiling has kept leadership roles out of women’s reach.
Yes, many governments and businesses had been working on parity before the pandemic struck. But the global gender gap, defined by differences reflected in the social, political, intellectual, cultural and economic attainments or attitudes of men and women, will not narrow in the near future without all major stakeholders working together on a clear agenda—that of economic growth by inclusion.
The WEF report estimates 135 years to close the gap at our current rate of progress based on four pillars: educational attainment, health, economic participation and political empowerment.
India has slipped from rank 112 to 140 in a single year, confirming how hard women were hit by the pandemic. Pakistan and Afghanistan are the only two Asian countries that fared worse.
Here are a few things we must do:
One, frame policies for equal-opportunity employment. Use technology and artificial intelligence to eliminate biases of gender, caste, etc, and select candidates at all levels on merit. Numerous surveys indicate that women in general have a better chance of landing jobs if their gender is not known to recruiters.
Two, foster a culture of gender sensitivity. Take a review of current policies and move from gender-neutral to gender-sensitive. Encourage and insist on diversity and inclusion at all levels, and promote more women internally to leadership roles. Demolish silos to let women grab potential opportunities in hitherto male-dominant roles. Work-from-home has taught us how efficiently women can manage flex-timings and productivity.
Three, deploy corporate social responsibility (CSR) funds for the education and skilling of women and girls at the bottom of the pyramid. CSR allocations to toilet building, the PM-Cares fund and firms’ own trusts could be re-channelled for this.
Four, get more women into research and development (R&D) roles. A study of over 4,000 companies found that more women in R&D jobs resulted in radical innovation. It appears women score far higher than men in championing change. If you seek growth from affordable products and services for low-income groups, women often have the best ideas.
Five, break barriers to allow progress. Cultural and structural issues must be fixed. Unconscious biases and discrimination are rampant even in highly-esteemed organizations. Establish fair and transparent human resource policies.
Six, get involved in local communities to engage them. As Michael Porter said, it is not possible for businesses to sustain long-term shareholder value without ensuring the welfare of the communities they exist in. It is in the best interest of enterprises to engage with local communities to understand and work towards lowering cultural and other barriers in society. It will also help connect with potential customers, employees and special interest groups driving the gender-equity agenda and achieve better diversity.