Author: Niharika Singh

Niharika Singh
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Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.

MIT Researchers Achieve a Breakthrough in Privacy Protection for Machine Learning Models with Probably Approximately Correct (PAC) Privacy

AI Shorts
MIT researchers have made significant progress in addressing the challenge of protecting sensitive data encoded within machine-learning models. A team of scientists has developed...

Meet Alibaba’s ChatGPT Competitor Tongyi Qianwen: a Large Language Model that will be Embedded in its Tmall Genie Smart Speakers and Workplace Messaging Platform...

AI Shorts
Artificial intelligence has been rapidly growing in popularity and importance in the tech industry over the past few years, with companies investing heavily in...

Meet Objaverse-XL: An Open Dataset of Over 10 Million 3D Objects

AI Shorts
A recent breakthrough in AI has been the significance of scale in driving advances in various domains. Large models have demonstrated remarkable capabilities in...

Meet I2D2: A Novel AI Framework for Generating Generic Knowledge from Language Models Using Constrained Decoding and Self-Imitation Learning

AI Shorts
The rapid advancements in language models have been primarily attributed to their massive scale, enabling mind-blowing capabilities in various natural language processing tasks. However,...

UC Berkeley Researchers Propose FastRLAP: A System for Learning High-Speed Driving via Deep RL (Reinforcement Learning) and Autonomous Practicing

AI Shorts
Researchers from the University of California, Berkeley, have developed a system called FastrLap that uses machine learning to teach autonomous vehicles to drive aggressively...

Automating Machine Learning Tasks: How MLCopilot Utilizes LLMs to Assist Developers in Streamlining ML Processes

AI Shorts
Machine learning models have been proven to be a powerful tool for solving complex tasks, but training these models has often been manual and...

Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models

AI Shorts
The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are...

Researchers from Columbia University and Deepmind Introduce GPAT: A Transformer-Based Model Architecture that Accurately Predicts Part Poses by Inferring How Each Part Shape Corresponds...

AI Shorts
Autonomous robotic systems capable of assembling new objects through visuospatial reasoning hold great potential for a broad range of real-world applications. Despite remarkable advancements...

Cutting Carbon Footprint in AI Training by Optimization

AI Shorts
Researchers from the University of Michigan have created an open-source optimization framework called Zeus that addresses the energy consumption issue in deep learning models....

A Novel Machine Learning Model Accelerates Decarbonization Catalyst Assessment From Months to Milliseconds

AI Shorts
Biomass refers to organic matter, such as plants, wood, agricultural waste, and other biological materials, which can be used as a renewable energy source....

Anthropic Released Their Claude 2 Model With Significant Improvements In Coding, Math, And Reasoning Compared To Previous Models

Editors Pick
Anthropic launched its new model called Claude 2, boasting improved performance, longer responses, and accessibility through an API and a public beta website. Users...

This AI Paper Evaluates LLMs’ Ability to Adapt to New Variants of Existing Tasks

AI Shorts
The remarkable performance of language models (LMs) suggests that large-scale next-word prediction could effectively distill knowledge from text corpora into interactive agents. LMs have...
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