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.

Stability AI Open-Sources Stable Diffusion: An Artificial Intelligence Model That Converts Text To Image

In collaboration with Runway, Machine Vision and Learning research group at LMU Munich, Eleuther AI, and LAION, Stability AI created the Stable Diffusion text-to-image...

A New Deep Learning Approach Developed at MIT Identifies Undiagnosable Cancers by Taking a Closer Look the Gene Expression Programs Related to Early Cell...

Cancer is partially a developmental illness, with malignancies named for the cell or tissue from which they originate. However, there is no systematic atlas...

Researchers at Sony Computer Science Laboratories (CSL) have developed a new Deep Learning method to enhance and restore the quality of heavily compressed songs...

Today, many sophisticated tools and technologies allow us to store vast amounts of music and audio recordings on electronic devices. A group of codec...

An Artificial Intelligence (AI) System Learns to Play Soccer from Scratch: From Motor Control to Team Play in Simulated Humanoid Football

Human behavior is organized on various levels, from millisecond muscle twitches to cognitive judgments made in hundreds of milliseconds to longer-term socially informed goal-directed...

Researchers at MIT, Cornell, and McGill University created a new Machine Learning Model that, on its own discovers Linguistic Rules that often match up...

The capacity of humans to develop theories about the world is a fundamental feature of intelligence. The recorded history of science is where this...

Amazon AI Researchers Introduce MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments

Estimating the effect of a binary intervention from historical observational data has been extensively investigated within the causal inference literature. However, the main goal...

To Enable Advanced Research on Artificial Humanoid Control, Microsoft’s Robotics Team is Releasing A Library of Pre-Trained Simulated Humanoid Control Models with Enriched Data...

Simulated humanoids present an intriguing platform for investigating motor intelligence with their ability to mimic the whole spectrum of human motion. An important area...

DeepMind AI Research Group Grounds the Causal Modeling of Artificial Intelligence Systems by Introducing an Algorithm for Discovering Agents from Empirical Data

Artificially intelligent (AI) agents are increasingly being adopted for various tasks. Studies have concluded that the goal-directed behavior of AI agents may be dangerous...

Using Graph Neural Networks, CMU Researchers Trained Generative Adversarial Networks to Correctly Predict the Coherent Orientations of Galaxies in a State-of-the-Art Cosmological Simulation

Physics has a branch called cosmology that examines the entire cosmos. It seeks to answer fundamental questions about nature by investigating various things like...

Google AI Introduces OptFormer: The First Transformer-Based Framework For Hyperparameter Tuning

OpenML and other public machine learning data platforms, along with hyperparameter optimization (HPO) services like Google Vizier, Amazon SageMaker, and Microsoft Azure, have facilitated...

Meet Sipeed’s TinyMaix: An Open-Source Lightweight Machine Learning Library For Microcontrollers

Sipeed TinyMaix is an open-source machine learning library designed for microcontrollers. According to findings, it is lightweight enough to be compatible with Microchip ATmega328...

Salesforce AI Propose A Novel Framework That Trains An Open Vocabulary Object Detector With Pseudo Bounding-Box Labels Generated From Large-Scale Image-Caption Pairs

One of the main functions of computer vision is object detection, which continues to draw a lot of academic attention. These algorithms give excellent...