Author: Tanushree Shenwai

Tanushree Shenwai
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https://www.marktechpost.com
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.

LinkedIn Open-Sources ‘Venice,’ LinkedIn’s Derived Data Platform that Powers more than 1800 Datasets

Recently, LinkedIn announced that they would soon open-source Venice, their derived data platform. Venice is the engine behind more than 1800 LinkedIn datasets and...

NVIDIA And Broad Institute Collaborate To Introduce Terra Cloud Platform Equipped With Artificial Intelligence (AI) For Accelerating BioMedical Research

Machine learning, artificial intelligence, and robots have all contributed to the development of today's healthcare system. Though, researchers around the world agree that improved...

Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications

Recent years have seen remarkable development in the creation of sophisticated language-vision models. Real-world applications rely heavily on multimodal material, particularly language-vision data, which...

NVIDIA Introduces the NVIDIA IGX Platform for Medical Edge AI Use Cases

Organizations across various sectors are exploring ways to increase their use of automation to boost productivity, efficiency, and security. Computer programs can make this...

NVIDIA Introduces BioNeMo Framework For Training And Deploying Large Biomolecular Language Modes At SuperComputing Scale

Motifs in nucleotide and protein sequences have been maintained through evolution because of their significance to the structure or function of the molecule. It...

CMU Researchers Propose Persistent Independent Particles (PIPs): A Computer Vision Method For Multi-frame Point Trajectory Estimation Through Occlusions

The challenge of motion estimation is important to computer vision and has far-reaching implications. Tracking makes it possible to create models of an object's...

Google AI Introduces PaLI: A Jointly-Scaled Multilingual Language-Image Model in Over 100 Languages

Increasing the number of parameters in ML training datasets improves the outcomes. Studies have shown that scaling in advanced language and vision-language (VL) models...

Microsoft Team Developed Confidential Consortium Framework (CCF) To Bring Efficiency and Usability To A Decentralized Trust Model

The era of centralized databases has passed with greater trust in the online world. Many events have shown that the centralization of management and...

Google AI Introduces A Multi-Axis Approach for Vision Transformer and MLP Models

Following the release of AlexNet in 2012, convolutional neural networks established themselves as the primary machine learning architecture for computer vision. Recently, attention mechanisms...

Meta AI Open Sources Flashlight: Fast and Flexible Machine Learning Toolkit in C++

While deep learning and machine learning ML frameworks perform well, customizing their underlying components has always been challenging. Low-level internals can be mistakenly obfuscated,...

Researchers From Hong Kong Introduce A Phonetic-Semantic Pre-Training Model for Robust Speech Recognition

Automatic speech recognition (ASR) has surpassed all other forms of modern human-machine interaction thanks to the proliferation of high-tech Internet of Things (IoT) gadgets....

Google AI Introduces a Machine Learning-Generated Sensory Map Called ‘Principal Odor Map’ (POM) That Enables the Prediction of Odors from Unseen Molecules

Molecules disperse into the air, travel to our nostrils, and bind to receptors in our noses to create odors. There are potentially billions of...