Author: Sana Hassan

Sana Hassan
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Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.

Self-Calibrating Conformal Prediction: Enhancing Reliability and Uncertainty Quantification in Regression Tasks

AI Paper Summary
In machine learning, reliable predictions and uncertainty quantification are critical for decision-making, particularly in safety-sensitive domains like healthcare. Model calibration ensures predictions accurately reflect...

BiMediX2: A Groundbreaking Bilingual Bio-Medical Large Multimodal Model integrating Text and Image Analysis for Advanced Medical Diagnostics

AI Paper Summary
Recent advancements in healthcare AI, including medical LLMs and LMMs, show great potential for improving access to medical advice. However, these models are largely...

Cohere AI Releases Command R7B: The Smallest, Fastest, and Final Model in the R Series

AI Shorts
Large language models (LLMs) are increasingly essential for enterprises, powering applications such as intelligent document processing and conversational AI. However, their adoption is often...

DL4Proteins Notebook Series Bridging Machine Learning and Protein Engineering: A Practical Guide to Deep Learning Tools for Protein Design

AI Shorts
The protein design and prediction are crucial in advancing synthetic biology and therapeutics. Despite significant progress with deep learning models like AlphaFold and ProteinMPNN,...

Yale Researchers Propose AsyncLM: An Artificial Intelligence System for Asynchronous LLM Function Calling

AI Paper Summary
LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like autonomous AI...

Meet AutoReason: An AI Framework for Enhancing Multi-Step Reasoning and Interpretability in Large Language Models

AI Paper Summary
Large Language Models (LLMs), trained on extensive datasets and equipped with billions of parameters, demonstrate remarkable abilities to process and respond to diverse linguistic...

Top 10 ChatGPT Use Cases for Businesses

AI Shorts
ChatGPT is a versatile tool with immense potential for businesses across diverse industries. Its capability to comprehend and generate human-like text enables its use...

Meta AI Introduces COCONUT: A New Paradigm Transforming Machine Reasoning with Continuous Latent Thoughts and Advanced Planning Capabilities

AI Paper Summary
Large language models (LLMs) trained on vast datasets of human language simulate logical and problem-solving abilities by following structured approaches. However, existing methods predominantly...

PyTorch Introduces torchcodec: A Machine Learning Library for Decoding Videos into PyTorch Tensors

AI Shorts
The growing reliance on video data in machine learning applications has exposed several challenges in video decoding. Extracting meaningful frames or sequences efficiently and...

Researchers at Stanford Introduce UniTox: A Unified Dataset of 2,418 FDA-Approved Drugs with Drug-Induced Toxicity Summaries and Ratings Created by Using GPT-4o to Process...

AI Paper Summary
Drug-induced toxicity is a major challenge in drug development, contributing significantly to the failure of clinical trials. While efficacy issues account for most failures,...

Splunk Researchers Introduce MAG-V: A Multi-Agent Framework For Synthetic Data Generation and Reliable AI Trajectory Verification

AI Paper Summary
These days, large language models (LLMs) are getting integrated with multi-agent systems, where multiple intelligent agents collaborate to achieve a unified objective. Multi-agent frameworks...

MAmmoTH-VL-Instruct: Advancing Open-Source Multimodal Reasoning with Scalable Dataset Construction

AI Paper Summary
Open-source MLLMs exhibit considerable promise across diverse tasks by integrating visual encoders with language models. However, their reasoning abilities could be improved, largely due...
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