Author: Astha Kumari

16 POSTS0 COMMENTS
Astha Kumari is a consulting intern at MarktechPost. She is currently pursuing Dual degree course in the department of chemical engineering from Indian Institute of Technology(IIT), Kharagpur. She is a machine learning and artificial intelligence enthusiast. She is keen in exploring their real life applications in various fields.

Meet Equinox: A JAX library for Neural Networks and sciML

Meet Equinox, a JAX library designed for numerical methods that is gaining popularity within the data science and machine learning community. It offers a...

A New AI Study Reveals Machine-Learning Model Achieves Human-Level Skill in Describing Chemical Smell

The fundamental challenge in neuroscience is understanding how physical properties in stimuli are associated with perceptual characteristics. While there are well-established mappings between physical...

Researchers from the University in Yokohama Propose VirSen1.0: A Virtual Environment for Streamlining the Development of Sensor-Based Human Gesture Recognition Systems

Gesture recognition technology faces significant challenges in sensor configuration and placement, data interpretation, and machine learning accuracy. Efficiently setting up sensors to capture nuanced...

Researchers at the University of Tokyo Developed an Extended Photonic Reinforcement Learning Scheme that Moves from the Static Bandit Problem Towards a more Challenging...

In the world of machine learning, the concept of reinforcement learning has taken center stage, enabling agents to conquer tasks through iterative trial and...

Pluggable Diffractive Neural Networks (P-DNN): A General Paradigm Resorting to the Cascaded Metasurfaces that can be applied to Recognize Various Tasks by Switching Internal...

The deep learning method, a machine learning technique inspired by the human brain, has applications in various domains, such as image processing, image recognition,...

Tabnine Introduces Tabnine Chat: An Enterprise-Grade, Code-Centric Chat application in Beta that Allows Developers to Interact with Tabnine’s AI models Using Natural Language

Tabnine, the AI-powered code completion tool, has unveiled a new feature to its suite: Tabnine chat, in its beta version. It is an enterprise-grade,...

Cambridge Researchers are Developing Uncertainty into Machine Learning Systems

In a world of uncertain human insights, embracing uncertainty could help machines and humans work together more effectively and reliably. While current systems are...

Researchers from the University of Pennsylvania are Developing Machine Learning Strategies to Improve Kidney Matching and Decrease the Risk of Graft Failure

AI has emerged as a beacon of hope for individuals by analyzing a certain genetic variation in minimizing the risk of kidney transplantation. The...

Decoding Collective Behavior: How Active Bayesian Inference Powers the Natural Movements of Animal Groups

The phenomenon of collected motion in animals observed in activities like swarming locusts, schooling fish, flocking birds, and herding ungulates is extensively studied due...

Meet Project Rumi: Multimodal Paralinguistic Prompting for Large Language Models

In the digital era of emerging technologies, LLMs have emerged as a powerful tool revolutionizing many aspects of human society and culture, reshaping how...

Unmasking the Author: AI or Human? Exploring the Emergence of AI Forensics with IBM’s Innovative Text Detection Tools

In the era of rapidly advancing AI, a pivot challenge needs attention: the transparency and trustworthiness in generative AI. IBM researchers aim to arm...

Detecting Alcohol Exposure in Media: Evaluating the Power of CLIP’s Zero-Shot Learning vs. ABIDLA2 Deep Learning in Image Analysis

Alcohol, a prevalent health concern, represents 5.1% of the global burden of disease, causing a significant negative impact on individuals and the economy. From...