Author: Pragati Jhunjhunwala

Pragati Jhunjhunwala
122 POSTS0 COMMENTS
Pragati Jhunjhunwala is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Kharagpur. She is a tech enthusiast and has a keen interest in the scope of software and data science applications. She is always reading about the developments in different field of AI and ML.

Google AI Propose LANISTR: An Attention-based Machine Learning Framework to Learn from Language, Image, and Structured Data

Google Cloud AI Researchers have introduced LANISTR to address the challenges of effectively and efficiently handling unstructured and structured data within a framework.  In...

Theory of Mind: How GPT-4 and LLaMA-2 Stack Up Against Human Intelligence

A team of psychologists and researchers from the University Medical Center Hamburg-Eppendorf, Italian Institute of Technology, Genoa, University of Trento, and others have researched...

Google DeepMind Introduces the Frontier Safety Framework: A Set of Protocols Designed to Identify & Mitigate Potential Harms Related to Future AI Systems

As AI technology progresses, models may acquire powerful capabilities that could be misused, resulting in significant risks in high-stakes domains such as autonomy, cybersecurity,...

Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data

Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for...

Model Explorer: A Powerful Graph Visualization Tool that Helps One Understand, Debug, and Optimize Machine Learning Models

Machine Learning (ML) is everywhere these days, playing a crucial role in countless fields worldwide. Its applications are endless, and we rely on it...

Microsoft Researchers Introduce MatterSim: A Deep-Learning Model for Materials Under Real-World Conditions

Methods like Molecular Dynamics simulations, Quantitative Structure-Property Relationships (QSPR), and First-Principles calculations are based on scientific principles and complex mathematical models. They require expensive...

NVIDIA AI Releases the TensorRT Model Optimizer: A Library to Quantize and Compress Deep Learning Models for Optimized Inference on GPUs

Generative AI, despite its impressive capabilities, needs to improve with slow inference speed in its real-world applications. The inference speed is how long it...

Redundancy in AI: A Hybrid Convolutional Neural Networks CNN Approach to Minimize Computational Overhead in Reliable Execution

The inherent risks associated with AI systems, especially in applications like autonomous driving and medical diagnosis, where errors can have severe consequences, should be...

AI21 Labs Introduces Jamba-Instruct Model: An Instruction-Tuned Version of Their Hybrid SSM-Transformer Jamba Model

AI21 Labs has introduced the Jamba-Instruct model, which addresses the challenge of leveraging large context windows in natural language processing tasks for enterprise use....

Researchers at Purdue University Propose GTX: A Transactional Graph Data System for HTAP Workloads

Researchers from Purdue University have introduced GTX to address the challenge of handling large-scale graphs with high throughput read-write transactions while maintaining competitive graph...

PyTorch Researchers Introduce an Optimized Triton FP8 GEMM (General Matrix-Matrix Multiply) Kernel TK-GEMM that Leverages SplitK Parallelization

PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel, to address the challenge of accelerating FP8 inference for large language models (LLMs) like Llama3...

Google AI Team Introduced TeraHAC Algorithm and Demonstrated Its High Quality and Scalability on Graphs of Up To 8 Trillion Edges

The Graph Mining team within Google Research has introduced TeraHAC to address the challenge of clustering extremely large datasets with hundreds of billions of...

🐝 🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...

X