Author: Adnan Hassan

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Hello, My name is Adnan Hassan. I am a consulting intern at Marktechpost and soon to be a management trainee at American Express. I am currently pursuing a dual degree at the Indian Institute of Technology, Kharagpur. I am passionate about technology and want to create new products that make a difference.

This AI Research Review Explores the Integration of Satellite Imagery and Deep Learning for Measuring Asset-Based Poverty

AI Shorts
Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. Emphasizing...

Apple Researchers Introduce Parallel Speculative Sampling (PaSS): A Leap in Language Model Efficiency and Scalability

AI Shorts
EPFL researchers, in collaboration with Apple, have introduced a new approach to speculative sampling called Parallel Speculative Sampling (PaSS). This new approach allows for...

This AI Research from MIT and Meta AI Unveils an Innovative and Affordable Controller for Advanced Real-Time In-Hand Object Reorientation in Robotics

AI Shorts
Researchers from MIT and Meta AI have developed an object reorientation controller that can utilize a single depth camera to reorient diverse shapes of...

This AI Research Introduces GAIA: A Benchmark Defining the Next Milestone in General AI Proficiency

AI Shorts
Researchers from FAIR Meta, HuggingFace, AutoGPT, and GenAI Meta address the problem of testing the capabilities of general AI assistants in handling real-world questions...

This AI Paper Explores the Fusion of Cognitive Science and Machine Learning in Pursuit of Superhuman Mathematical Systems

AI Shorts
Researchers from MIT BCS, the University of Cambridge, and the Alan Turing Institute explore the historical pursuit of automated mathematicians in artificial intelligence, emphasizing...

Meet One-2-3-45++: An Innovative Artificial Intelligence Method that Transforms a Single Image into a Detailed 3D Textured Mesh in Approximately One Minute

AI Shorts
Researchers from UC San Diego, Zhejiang University, Tsinghua University, UCLA, and Stanford University have introduced One-2-3-45++, an innovative AI method for rapid and high-fidelity...

McMaster University and FAIR Meta Researchers Propose a Novel Machine Learning Approach by Parameterizing the Electronic Density with a Normalizing Flow Ansatz

AI Shorts
Researchers from McMaster University and FAIR Meta have developed a new machine learning (ML) technique for orbital-free density functional theory (OF-DFT). This ML method...

Researchers from China Introduce Video-LLaVA: A Simple but Powerful Large Visual-Language Baseline Model

AI Shorts
Researchers from Peking University, Peng Cheng Laboratory, Peking University Shenzhen Graduate School, and Sun Yat-sen University introduce the Large Vision-Language Model (LVLM) approach, Video-LLaVA,...

Redefining Transformers: How Simple Feed-Forward Neural Networks Can Mimic Attention Mechanisms for Efficient Sequence-to-Sequence Tasks

AI Shorts
Researchers from ETH Zurich analyze the efficacy of utilizing standard shallow feed-forward networks to emulate the attention mechanism in the Transformer model, a leading...

Researchers from Genentech Propose A Deep Learning Methodology to Discover a Predictive Tumor Dynamic Model from Longitudinal Clinical Data

AI Shorts
Researchers from Genentech introduced tumor dynamic neural-ODE (TDNODE) as a pharmacology-informed neural network for enhancing tumor dynamic modeling in oncology drug development. Overcoming the...

This AI Paper Introduces Sub-Sentence Encoder: A Contrastively-Learned Contextual Embedding AI Model for Fine-Grained Semantic Representation of Text

AI Shorts
Researchers from the University of Pennsylvania, the University of Washington, and Tencent AI Lab propose a sub-sentence encoder, a contrastively learned contextual embedding model...

NVIDIA AI Researchers Present an Artificial Intelligence Approach for Efficiently Rendering NeRF by Restricting Volumetric Rendering to a Narrow Band Around the Object

AI Shorts
Researchers from Nvidia introduce a neural radiance field formulation for view synthesis that efficiently transitions between volumetric and surface-based rendering. The method adapts the...
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