Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.
Every day, people make countless decisions based on their understanding of their surroundings as a continuous sequence of events. Artificial intelligence systems that can...
Self-supervised learning (SSL) is an ML technique that allows computers to predict unknown inputs using observed inputs. One essential goal for self-supervised learning is...
Transformer-based language models have made rapid progress in many natural language processing (NLP) applications, thanks to the availability of large datasets, large computation at...
In today’s world, it’s critical to develop systems that can understand 3D data about the world. For example, autonomous automobiles require 3D understanding to...
Matrix multiplication is one of the essential operations in machine learning (ML). However, these operations are extensively computationally costly due to the extensive use...
DNA contains the genetic information that influences everything from eye color to illness and disorder susceptibility. Genes, which are around 20,000 pieces of DNA...
Federated learning is a machine learning environment in which multiple clients (such as mobile devices or entire enterprises, depending on the task at hand)...
Compilers are essential components of the computing stack because they convert human-written programs into executable binaries. When trying to optimize these programs, however, all...
Weather plays an important role in our everyday lives. Among other weather conditions, rain influences our day-to-day decisions significantly. Weather forecasting has always been...
Reinforcement learning (RL) has recently become a powerful technique widely used for solving challenges of sequential decision-making. Simulation benchmarks mainly drive progress in RL....
Reinforcement learning (RL) is a field of machine learning (ML) that involves training ML models to make a sequence of intelligent decisions to complete...
