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.

Unlocking the Language of Proteins: How Large Language Models Are Revolutionizing Protein Sequence Understanding

Researchers have drawn parallels between protein sequences and natural language due to their sequential structures, leading to advancements in deep learning models for both...

Luma Releases Dream Machine: Transforming Video Creation with AI-Generated High-Quality, Realistic, and Fantastical Scenes from Text and Images

Luma has introduced Dream Machine, an innovative AI model designed to create high-quality, realistic, fantastical videos from text instructions and images. Built on a...

Advancements in AI: Transforming Precision Medicine Across Biomedicine

In recent years, the integration of ML and AI into biomedicine has become increasingly pivotal, particularly in digital health. The explosion of high-throughput technologies,...

DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance

Most LMMs integrate vision and language by converting images into visual tokens fed as sequences into LLMs. While effective for multimodal understanding, this method...

AI-Powered Insights into Molecular Evolution: From Codon Usage to Gene Expression in Natural Environments

The study of evolution by natural selection at the molecular level has advanced significantly with the advent of genomic technologies. Traditionally, researchers have focused...

Hallucination in Large Language Models (LLMs) and Its Causes

The emergence of large language models (LLMs) such as Llama, PaLM, and GPT-4 has revolutionized natural language processing (NLP), significantly advancing text understanding and...

xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis

Deep learning methods excel in detecting cardiovascular diseases from ECGs, matching or surpassing the diagnostic performance of healthcare professionals. However, due to a lack...

ABodyBuilder3: A Scalable and Precise Model for Antibody Structure Prediction

Accurately predicting antibody structures is essential for developing monoclonal antibodies, pivotal in immune responses and therapeutic applications. Antibodies have two heavy and two light...

FusOn-pLM: Advancing Precision Therapy for Fusion Oncoproteins through Enhanced Protein Language Modeling

Fusion oncoproteins, formed by chromosomal translocations, are key drivers in many cancers, especially pediatric ones. These chimeric proteins are difficult to target with drugs...

Unveiling Chain-of-Thought Reasoning: Exploring Iterative Algorithms in Language Models

Chain-of-Thought (CoT) reasoning enhances the capabilities of LLMs, allowing them to perform more complex reasoning tasks. Despite being primarily trained for next-token prediction, LLMs...

BioDiscoveryAgent: Revolutionizing Genetic Experiment Design with AI-Powered Insights

Agents based on LLMs hold promise for accelerating scientific discovery, especially in biomedical research. They leverage extensive background knowledge to design and interpret experiments,...

ProtEx: Enhancing Protein Function Prediction with Retrieval-Augmented Deep Learning

Mapping protein sequences to their biological functions is crucial in biology, as proteins perform diverse roles in organisms. Functions are categorized using ontologies like...

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