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.

Transformative Applications of Deep Learning in Regulatory Genomics and Biological Imaging

Recent technological advancements in genomics and imaging have resulted in a vast increase in molecular and cellular profiling data, presenting challenges for traditional analysis...

AI and CRISPR: Revolutionizing Genome Editing and Precision Medicine

CRISPR-based genome editing technologies have revolutionized gene study and medical treatment by enabling precise DNA alterations. AI integration has enhanced these technologies' precision, efficiency,...

Safe Reinforcement Learning: Ensuring Safety in RL

Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous...

DynamicBind: A Deep Learning Approach for Dynamic Protein-Ligand Docking and Drug Discovery

While significant strides have been made in predicting static protein structures, understanding protein dynamics, influenced by ligands, is essential for grasping protein function and...

Hierarchical Reinforcement Learning: A Comprehensive Overview

Reinforcement Learning (RL) has gained attention in AI due to its ability to solve complex decision-making problems. One of the notable advancements within RL...

MARKLLM: An Open-Source Toolkit for LLM Watermarking

LLM watermarking embeds subtle, detectable signals in AI-generated text to identify its origin, addressing misuse concerns like impersonation, ghostwriting, and fake news. Despite its...

MicroPython Testbed for Federated Learning Algorithms (MPT-FLA) Framework Advancing Federated Learning at the Edge

The Python Testbed for Federated Learning Algorithms (PTB-FLA) is a low-code framework developed for the EU Horizon 2020 project TaRDIS, aimed at simplifying the...

Enhancing Graph Classification with Edge-Node Attention-based Differentiable Pooling and Multi-Distance Graph Neural Networks GNNs

Graph Neural Networks GNNs are advanced tools for graph classification, leveraging neighborhood aggregation to update node representations iteratively. This process captures local and global...

GPT-4 vs. GPT-4o: Key Updates and Comparative Analysis

The artificial intelligence and machine learning world has witnessed rapid advancements, with OpenAI at the forefront of these innovations. One of the latest developments...

This AI Research from Google DeepMind Explores the Performance Gap between Online and Offline Methods for AI Alignment

RLHF is the standard approach for aligning LLMs. However, recent advances in offline alignment methods, such as direct preference optimization (DPO) and its variants,...

NuMind Releases Three SOTA NER Models that Outperform Similar-Sized Foundation Models in the Few-shot Regime and Competing with Much Larger LLMs

Named Entity Recognition (NER) is vital in natural language processing, with applications spanning medical coding, financial analysis, and legal document parsing. Custom models are...

Guarding Integrated Speech and Large Language Models: Assessing Safety and Mitigating Adversarial Threats

Recently, there's been a surge in the adoption of Integrated Speech and Large Language Models (SLMs), which can understand spoken commands and generate relevant...

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