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.

This AI Paper from Microsoft and Oxford Introduce Olympus: A Universal Task Router for Computer Vision Tasks

AI Paper Summary
Computer vision models have made significant strides in solving individual tasks such as object detection, segmentation, and classification. Complex real-world applications such as autonomous...

How AI Models Learn to Solve Problems That Humans Can’t

AI Paper Summary
Natural Language processing uses large language models (LLMs) to enable applications such as language translation, sentiment analysis, speech recognition, and text summarization. These models...

Transforming Video Diffusion Models: The CausVid Approach

AI Paper Summary
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

AI Paper Summary
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 Paper Summary
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

AI Paper Summary
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%

AI Paper Summary
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

AI Agents
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

AI Paper Summary
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

AI Paper Summary
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

AI Paper Summary
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

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