Author: Afeerah Naseem

Afeerah Naseem
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Afeerah Naseem is a consulting intern at Marktechpost. She is pursuing her B.tech from the Indian Institute of Technology(IIT), Kharagpur. She is passionate about Data Science and fascinated by the role of artificial intelligence in solving real-world problems. She loves discovering new technologies and exploring how they can make everyday tasks easier and more efficient.

Transforming Video Diffusion Models: The CausVid Approach

AI Video Generation has become increasingly popular in many industries due to its efficacy, cost-effectiveness, and ease of use. However, most state-of-the-art video generators...

ID-Language Barrier: A New Machine Learning Framework for Sequential Recommendation

Sequential Recommendation systems have crucial applications in industries like e-commerce and streaming services. These systems collect and analyze the user interaction data over time...

The Power of Active Data Curation in Multimodal Knowledge Distillation

AI advancements have led to the incorporation of a large variety of datasets for multimodal models, allowing for a more comprehensive understanding of complex...

Adaptive Attacks on LLMs: Lessons from the Frontlines of AI Robustness Testing

The field of Artificial Intelligence (AI) is advancing at a rapid rate; specifically, the Large Language Models have become indispensable in modern AI applications....

Blocked and Patchified Tokenization (BPT): A Fundamental Improvement for Mesh Tokenization that Reduces Sequence Length by Approximately 75%

Mesh generation is an essential tool with applications in various fields, such as computer graphics and animation, computer-aided design (CAD), and virtual and augmented...

The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation

Trailing the advances made by AI in drug discovery, one can say there is a vast amount of untapped potential. Therapeutic nanobodies, particularly, have...

DLO-Tact: Advancing Robotic Perception through Deep Learning-Assisted Object Recognition with a Hybrid Triboelectric-Capacitive Tactile Sensor

In robotics, tactile sensing is a critical technology that complements visual information, allowing the robots to interact with their environment in a way that...

NeuroFly: An AI Framework for Whole-Brain Single Neuron Reconstruction

Neuroscience has advanced significantly, allowing us to understand the mapping of neurons in the brain. Neurons have dendrites and axons, branch-like structures connecting the...

Revealing Biomarkers for Ischemic Stroke: Machine Learning Meets Single-Cell Transcriptomics

Ischemic stroke (IS) is one of the leading causes of disability and mortality in the world. It is caused by blood clotting in the...

Trajectory Flow Matching (TFM): A Simulation-Free Training Algorithm for Neural Differential Equation Models

In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time. This data...

XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material...

SAM2Long: A Training-Free Enhancement to SAM 2 for Long-Term Video Segmentation

Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has...