Deep Learning

A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...

Balancing Innovation and Sustainability: A Pragmatic Approach to Environmental Responsibility in Deep Learning for Pathology

This research delves into a pressing concern within pathology – the significant carbon dioxide equivalent (CO2eq) emissions associated with integrating deep learning. This environmental...

Meet Relational Deep Learning Benchmark (RelBench): A Collection of Realistic, Large-Scale, and Diverse Benchmark Datasets for Machine Learning on Relational Databases

In the rapidly advancing fields of Artificial Intelligence (AI) and Machine Learning (ML), finding effective, automated, and adaptable approaches has become significantly crucial. The...

Researchers from Tokyo University of Science Developed a Deep Learning Model that can Detect a Previously Unknown Quasicrystalline Phase in Materials Science

The quest to uncover novel crystalline structures in materials has long been a cornerstone of scientific exploration, holding critical implications across diverse industries ranging...

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

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

Deciphering Auditory Processing: How Deep Learning Models Mirror Human Speech Recognition in the Brain

Research states computations converting auditory data into linguistic representations are involved in voice perception. The auditory pathway is activated when someone listens to speech,...

Understanding the Concept of GPT-4V(ision): The New Artificial Intelligence Trend

OpenAI has been at the forefront of the latest advancements in AI, with its highly competent models like GPT and DALLE. When released, GPT-3...

Microsoft Researchers Propose PIT (Permutation Invariant Transformation): A Deep Learning Compiler for Dynamic Sparsity

Recently, deep learning has been marked by a surge in research aimed at optimizing models for dynamic sparsity. In this scenario, sparsity patterns only...

Microsoft Releases Orca 2: Pioneering Advanced Reasoning in Smaller Language Models with Tailored Training Strategies

LLMs (Large Language Models) are trained on vast volumes of textual data to comprehend and produce language similar to that of humans. The GPT-3,...

This AI Paper Introduces ‘Lightning Cat’: A Deep Learning Based Tool for Smart Contracts Vulnerabilities Detection 

Smart contracts play a pivotal role in blockchain technology for the development of decentralized applications. The susceptibility of smart contracts to vulnerabilities poses a...

Researchers from UCL and Google DeepMind Reveal the Fleeting Dynamics of In-Context Learning (ICL) in Transformer Neural Networks

The capacity of a model to use inputs at inference time to modify its behavior without updating its weights to tackle problems that were...

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 UC San Diego Introduce EUGENe: An Easy-to-Use Deep Learning Genomics Software

Deep learning is being used in all spheres of life. It has its utility in every field. It has a big impact on biomedical...

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