Coding Dopamine: How DeepMind Brought AI To The Footsteps Of Neuroscience

DeepMind has been trying to bridge the gap between AI and biology for quite some time now. All their endeavours revolve around solving the problem of intelligence in machines. The straightforward trivial tasks for humans can be very, very sophisticated…

Silicon Brains: Designing Self Organising Neural Networks

A healthy child’s brain under development is capable of adding nearly 250,000 neurons every minute! At birth, a brain has almost all the neurons that it will ever have. The brain continues to grow for a few years after a…

Can Machines Benefit From Deja Vu? Role Of Replay Learning In Artificial Neural Networks 

In the early 90s, a bunch of experiments were performed to find out how a living organism learns a task. In one such experiment, rats were made to run along the length of a single corridor or circular track, so…

Is AI Playing God? Deep Learning Algorithms Reconstruct The Brain Of A Fruit Fly 

Researchers from the interdisciplinary fields of computational sciences and neuro sciences usually take the anthropomorphic design approach to mimic human understanding of conceptual foundations. The researchers usually suggest this bottom-up approach to understand intelligent architectures because simple nervous systems(number of…

How Machine Learning-Aided VR Is Helping Neurosurgeons Train Better

With improved accessibility to new technologies, there has never been a better time to include a plethora of studies into the field of artificial intelligence. It has the potential to pave the way for developing tools that can serve the…

Top 8 Neuralink Competitors Everyone Should Track

With a clear vision for brain-computer interface, Elon Musk’s neuroscience startup, Neuralink has been in the headlines for quite a while now. Although connecting humans with computers is not a new idea, the Brain-Machine Interfaces (BMI) merging with the technologies…

11 Books To Understand The Implications Of Projects Like Neuralink

The idea of interfacing minds with machines has been around for a while. Through the imaginations of fiction writer and through relentless pursuit of researchers. Interfacing of human brain with machines is as unsolvable as any problem could get since…

World’s Largest Supercomputer SpiNNaker Has The Potential To Unlock Secrets Of The Human Brain

From the 1954 invention by IBM NORC which had the speed of 1 microsecond to IBM’s 2018’s innovation Summit performing of 200 petaflops — supercomputers have come a long way in their journey. They are being used for everything —…

Choosing Between GAN Or Encoder Decoder Architecture For ML Applications Is Like Comparing Apples To Oranges

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons and their networks in the brain. Computational algorithms often mimic and…

Why Neuroscientists Can’t Explain How A Microprocessor Works

Progress in neuroscience has been historically limited by the size of multimodal datasets. There is a popular notion that producing large, multimodal and complex datasets will help us dig deeper into our minds. This particular notion has encouraged neuroscientists to…

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