The Indian Institute of Science Researchers have taken a giant leap ahead of Artificial Intelligence by developing a brain-like computing platform with molecular films. Innovation at the CeNSE in IISc has brought us closer to realizing AI systems more similar to the human brain with unprecedented energy efficiency and processing power. It is often called the 'brain on a chip' and works by emulating how the brain operates and stores data. Whereas traditional digital computing systems rely on binary states such as 0 and 1, this molecular film-based platform provides a range of 16,500 conductance states, enabling it to conduct advanced computation tasks with much more flexibility and precision than ever closer to biological neural systems.
Revolutionizing AI Efficiency and Speed
But probably the most striking feature of this platform is the way it promises to take AI to an entirely new plane in the matter of enhanced processing speed with less energy consumption. Whereas today's digital computing systems are powerful, complex operations require considerable amounts of energy and time. The molecular computing platform developed at IISc overcomes these barriers, thus making it a potential game-changer in the areas of Machine Learning and AI deployment on personal devices such as smartphones, laptops, and desktops.
Processing and Storing Data in One Place
It accomplishes both data storage and processing simultaneously, just as is done in the human brain. This is the world's first neuromorphic accelerator that provides unparalleled molecular kinetics control with high accuracy in the circuit of this platform. These are driven by nanosecond voltage pulses; high efficiency with minimal physical space is realized in the molecular film. This duality of function would be easily integratable into silicon circuits to boost their performance and decrease energy consumption.
Applications in Advanced AI Models
Applications of this neuromorphic chip can go well beyond what is currently achievable with AI technology. According to the IISc team, this platform can be quite useful in developing sophisticated AI models such as GAN, LSTM networks, and transformer models. These complex architectures constitute the backbone of any advances in AI learning by the machine, enabling it to create and comprehend information with far greater cognitive processing.
A milepost for AI Research in India: This state-of-the-art research places India at the forefront in handling AI worldwide. Integration with traditional digital platforms might open up a whole new era of innovation in AI to which IISc would be leading from the front. The development of focusing on energy-efficient, brain-like computing could soon find application from smart devices to scientific computing, thereby transforming ways in which machines think, learn, and evolve. The innovations, such as the IISc molecular platform, add their way to the next generation of AI technologies as neuromorphic computing takes further shape, probably bringing true artificial intelligence closer to being able to function like the human brain.
Inputs by Agencies
Image Source: Multiple Agencies
Ⓒ Copyright 2024. All Rights Reserved Powered by Vygr Media.
