Author: Nitish Kumar

Nitish Kumar
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Nitish is a computer science undergraduate with keen interest in the field of deep learning. He has done various projects related to deep learning and closely follows the new advancements taking place in the field.

A Deep Dive of Working With Lists in Python: Indexing and Slicing

Accessing items in a list (and other iterables such as tuples and strings) is a fundamental ability for Python programmers, and many Python tools...

Researchers Find A Possible Solution To The Problem Of Robocalling Using Machine Learning

The United States government has begun to take significant steps to eliminate robocalls. The FCC requires that phone companies use a cryptography-based technology called...

A New AI Research Propose ‘UniFormer’ (Unified transFormer) to Unify Convolution and Self-Attention for Visual Recognition

For visual recognition, representation learning is a crucial research area. Essentially, researchers are confronted with two separate issues in visual data, such as photographs...

CMU’s Latest Machine Learning Research Analyzes and Improves Spectral Normalization In GANs

GANs (generative adversarial networks) are cutting-edge deep generative models that are best known for producing high-resolution, photorealistic photographs. The goal of GANs is to...

Understanding The Concept Of Convolutional Neural Networks (CNNs)

Deep learning techniques are based on neural networks, which are a subset of machine learning. They're made up of node levels, each of which...

Researchers at Meta and the University of Texas at Austin Propose ‘Detic’: A Method to Detect Twenty-Thousand Classes using Image-Level Supervision

The difficulty of object detection is divided into two parts: detecting the object (localization) and labeling it (classification). Traditional techniques rely on box labels...

Researchers From NVIDIA & Vanderbilt University Propose ‘Swin UNETR’: A Novel Architecture for Semantic Segmentation of Brain Tumors Using Multi-Modal MRI Images

The human brain is affected by about 120 different forms of brain tumors. AI-based intervention for tumor identification and surgical pre-assessment is on the...

Top Emerging Deep Learning Trends For 2022

In today's industry, AI and machine learning are regarded as the cornerstones of technological transformation. Enterprises have become more intelligent and efficient as a...

Apple ML Researchers Introduce ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Understanding indoor 3D scenes are becoming increasingly important in augmented reality, robotics, photography, games, and real estate. Many state-of-the-art scene interpretation algorithms have lately...

Researchers Propose A Novel Parameter Differentiation-Based Method That Can Automatically Determine Which Parameters Should Be Shared And Which Ones Should Be Language-Specific

In recent years, neural machine translation (NMT) has attracted a lot of attention and has had a lot of success. While traditional NMT is...

Researchers Develop ‘Garment4D’: A Garment Reconstruction Model Using Point Cloud Sequences

Virtual try-on, virtual reality/augmented reality, and visual effects all use garment reconstruction. With the use of implicit representation or volumetric representation, extensive efforts have...

Researchers Compare Deep Learning (DL) Algorithms For Diagnosing Bacterial Keratitis via External Eye Photographs

Viral keratitis, bacterial keratitis, fungal keratitis, and parasitic keratitis are all types of infectious keratitis. Bacterial Keratitis (BK) is a kind of Infectious Keratitis...