Author: Mohammad Arshad

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Arshad is an intern at MarktechPost. He is currently pursuing his Int. MSc Physics from the Indian Institute of Technology Kharagpur. Understanding things to the fundamental level leads to new discoveries which lead to advancement in technology. He is passionate about understanding the nature fundamentally with the help of tools like mathematical models, ML models and AI.

DeepMind Researchers Redefine Continual Reinforcement Learning with a Precise Mathematical Definition

Recent advances in deep Reinforcement Learning ( RL ) have demonstrated superhuman performance by artificially intelligent (AI ) agents on a variety of impressive...

Tired of Tuning Learning Rates? Meet DoG: A Simple Parameter-Free Optimizer Backed by Solid Theoretical Guarantees

Researchers at Tel Aviv University propose tuning free dynamic SGD step size formula, called Distance over Gradients (DoG), which only depends upon the empirical...

Meet Brain2Music: An AI Method for Reconstructing Music from Brain Activity Captured Using Functional Magnetic Resonance Imaging (fMRI)

Who doesn’t love music? Have you ever remembered the rhythm of a song but not the lyrics and can’t figure out the song's name?...

Fable Studio releases SHOW-1: An AI platform that is able to write, produce, direct animate, and even voice entirely new episodes of TV shows

Can you imagine watching yourself in your favorite show even though you have never acted in real life? Or Is it possible to change...

Decoding Human Intelligence: Stanford’s Latest AI Research Questions Innate Number Sense – A Learned Skill or a Natural Gift?

The ability to decipher any quantity is called Number sense. Number sense is key in mathematical cognition. Various activities, such as organizing large amounts...

Google AI introduces Symbol Tuning: A Simple Fine-Tuning Method that can improve in-Context Learning by Emphasizing Input–Label Mappings

Language models are tuned on input-label pairs presented in a context in which natural language labels are remapped to arbitrary symbols. For a given...

Meet RPDiff: A Diffusion Model for 6-DoF Object Rearrangement in 3D Scenes

Robotics design and construction to perform daily tasks is an exciting and one of the most challenging fields of computer science engineering. A team...

The University Of Pennsylvania Researchers Introduced An Alternative AI Approach To Design And Program RNN-Based Reservoir Computers

The human brain is one of the most complex systems nature has ever created. The neurons interact with each other by forming recurring neural...