Author: Khushboo Gupta

Khushboo Gupta
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Khushboo Gupta is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Goa. She is passionate about the fields of Machine Learning, Natural Language Processing and Web Development. She enjoys learning more about the technical field by participating in several challenges.

Amazon Researchers Propose ‘MiCS,’ An Artificial Intelligence (AI) System That Attains High Training Throughput and Near-Linear Scalability on The Cloud by Only Using Data...

Gigantic models are those models that have to be trained using billions or trillions of parameters. Due to significant communication overheads, current general purpose...

Meta Open Sources ‘Velox’: A C++ Vectorized Database Acceleration Library That Optimizes Query Engines And Data Processing

Velox, a unified execution engine, was recently developed and made publicly available by Meta in association with Intel, ByteDance, and Ahana. This function library...

Heard about DALL·E? Check this new Feature ‘Outpainting’ just added on it which adds Visual Elements simply by using a Natural Language Description

In 2021, OpenAI achieved a breakthrough with the introduction of DALL-E. Using a dataset of text-image pairs, the 12-billion parameter DALL-E variant of GPT-3...

Microsoft Research Introduces a General-Purpose Multimodal Foundation Model ‘BEIT-3,’ that Achieves State-of-the-Art Transfer Performance on Both Vision and Vision Language Tasks

The machine learning community has recently diverted its focus on the convergence of language, vision, and multimodal pretraining. The main intention behind this is...

AWS Researchers Developed A Knowledge Graph Embedding Library Called Deep Graph Knowledge Embedding Library (DGL-KE) Built On The Deep Graph Library (DGL)

Data structures called knowledge graphs (KGs) are used to hold data about various entities (represented as nodes) and their relationships (as edges). Computing knowledge...

In Latest Machine Learning Research, A Group at CMU Release a Simple and Efficient Implementation of Recurrent Model-Free Reinforcement Learning (RL) for Future Work...

Most real-world situations involve noise and incomplete information, unlike decision-making algorithms, which often concentrate on simple problems where most information is already available. To...

PyTorch introduces ‘nvFuser’: a Deep Learning Compiler for NVIDIA GPUs that automatically just-in-time compiles fast and flexible kernels to reliably accelerate users’ networks

The PyTorch team recently released a Deep Learning Compiler for NVIDIA GPUs called nvFuser. This compiler automatically creates quick, adaptable kernels, speeding up user...

Google AI Open-Sources ‘MultiNeRF’: Image Noise Reduction Artificial Intelligence Project Presented at Computer Vision and Graphics Recognition (CVPR) Conference 2022

Software is quickly replacing what was previously a mechanical realm. These recent technological advances are replacing human expertise to some extent as well, especially...

Researchers Develop ‘TiCoder’ Framework For Code Generation Using User Feedback With 90.4% Consistency To User Intent

One of the key drivers of the recent success of powerful pretrained large language models (LLMs) in natural language processing is the model's capacity...

In a Latest Machine Learning Research, Salesforce AI Team Developed a New Time-Series Forecasting Model Called ETSformer Which Exploits The Principle of Exponential Smoothing...

Time-series forecasting has gained tremendous importance in recent times. The task of making future predictions based on previous data, particularly numerical data gathered in...

An AI-Powered Smart Camera Achieves Privacy-Preserving Imaging by Only Recording Objects of Interest While Being Blind to Others

Digital cameras have been widely incorporated into our society over the past ten years. They are now extensively employed in facial recognition, mobile phones,...

Meta AI Releases Implicitron, a Modular Framework for Neural Implicit Representations in PyTorch3D

Exciting new opportunities for augmented reality experiences are being made possible by the quick advancements in neural implicit representation. Without much training data or...