Author: Adnan Hassan

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

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

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

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

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

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

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

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

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...

Stanford Researchers Innovate in Large Language Model Factuality: Automatic Preference Rankings and NLP Advancements for Error Reduction

Researchers from Stanford University and UNC Chapel Hill address the issue of factually inaccurate claims, known as hallucinations, produced by LLMs. Without human labeling,...

KAIST AI Researchers Introduce KTRL+F: A Knowledge-Augmented in-Document Search Task that Necessitates Real-Time Identification of Semantic Targets within a Document

KTRL+F task is a knowledge-augmented in-document search problem that requires real-time identification of semantic targets within a document, incorporating external knowledge through a single...

Tencent AI Lab Introduces Chain-of-Noting (CoN) to Improve the Robustness and Reliability of Retrieval-Augmented Language Models

Tencent AI Lab researchers address challenges in the reliability of retrieval-augmented language models (RALMs), which may retrieve irrelevant information, leading to misguided responses. The...

Meet GO To Any Thing (GOAT): A Universal Navigation System that can Find Any Object Specified in Any Way- as an Image, Language, or...

A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research,...

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