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.

Google Researchers Introduce π—¦π˜†π—»π˜π—΅π—œπ——: A Digital Tool to Watermark and Identify AI-Generated Images

In the rapidly evolving landscape of artificial intelligence (AI), generative models are creating photorealistic images that are nearly indistinguishable from those captured by traditional...

Meet SelFee: An Iterative Self-Revising LLM Empowered By Self-Feedback Generation

A recent study has highlighted the effectiveness of natural language feedback in improving the performance of language models. A team of researchers from KAIST...

ATLAS Researchers Explore Novel Phenomena with Anomaly Detection via Unsupervised Machine Learning

Since its inception in 2009, the Large Hadron Collider (LHC) has been a pioneering tool for scientific exploration, seeking to uncover particles and phenomena...

Meta AI Releases Code Llama: A State-of-the-Art Large Language Model for Coding

In the ever-evolving landscape of software development, the need for efficient and productive coding tools has never been greater. Developers face the challenge of...

Meet AutoGPTQ: An Easy-to-Use LLMs Quantization Package with User-Friendly APIs based on GPTQ Algorithm

Researchers from Hugging Face have introduced an innovative solution to address the challenges posed by the resource-intensive demands of training and deploying large language...

Meet Cursive: A Universal and Intuitive AI Framework for Interacting with LLMs

In the realm of interfacing with Large Language Models (LLMs), developers often grapple with a common dilemma. On one hand, there are intricate and...

Google Introduces MediaPipe for Raspberry Pi with an Easy-to-Use Python SDK for On-Device Machine Learning

In response to the exponentially growing demand for accessible machine learning (ML) tools on embedded systems, researchers have introduced an innovative solution designed to...

Microsoft Introduces Python in Excel: Bridging Analytical Prowess with Familiarity for Enhanced Data Insights

The realm of data analysis has long struggled with seamlessly integrating the capabilities of Pythonβ€”a powerful programming language widely used for analyticsβ€”with the familiar...

Meet Lilli: McKinsey’s Internal Generative AI Tool to Unleash Insights and Elevate Consulting Efficiency

The quest for efficient and effective knowledge dissemination has been an ongoing pursuit in the consulting realm. McKinsey, a trailblazer in the consulting industry,...

Art and Identity: The Profound Link Between Self-Relevance and Aesthetic Appeal Unveiled by AI

The captivating allure of art's transformative power has long fascinated humanity, and recent advancements in artificial intelligence (AI) are breathing new life into this...

MIT and Harvard Researchers Propose (FAn): A Comprehensive AI System that Bridges the Gap between SOTA Computer Vision and Robotic Systems- Providing an End-to-End...

In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called "Follow Anything" (FAn). The system...

Line Open-Sources ‘japanese-large-lm’: A Japanese Language Model With 3.6 Billion Parameters

Since November 2020, LINE has embarked on a transformative journey of research and development to create and harness the power of an advanced large-scale...

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