AssemblyAI

MARCH 21, 2023

Traditional AI methods have been designed to extract information from objects encoded by somewhat “rigid” structures. What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community.

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Marktechpost

AUGUST 8, 2023

This involves the use of Machine Learning and Deep Learning models in this domain. The team of research scientists used deep learning techniques to predict the molecules with a 10 times increase in size as the previously obtained molecules. The research team developed 2 software tools for protein design.

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AI Weekly

DECEMBER 19, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co forbes.com Our Sponsor Metas open source AI enables small businesses, start-ups, students, researchers and more to download and build with our models at no cost. However, grasping what sets them apart can be tricky.

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AssemblyAI

SEPTEMBER 4, 2024

  Recent advancements in the AI research behind speech recognition technology have made speech recognition models more accurate and accessible than ever before.   Today, deep learning technology, heavily influenced by Baidu’s seminal paper Deep Speech: Scaling up end-to-end speech recognition , dominates the field.

Deep Learning 306

Deep Learning Auto-complete Machine Learning Natural Language Processing 306

Marktechpost

MARCH 23, 2024

AI researchers are taking the game to a new level with geometric deep learning. DeepMind Researchers introduce TacticAI, an AI assistant designed to optimize one of football’s biggest set-piece weapons: the corner kick. All credit for this research goes to the researchers of this project.

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Marktechpost

OCTOBER 28, 2024

It’s a great way to explore AI’s capabilities and see how these technologies can be applied to real-world problems. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.

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Neural Network Natural Language Processing Deep Learning Machine Learning 107

Marktechpost

DECEMBER 30, 2023

The need for accurate stress orientation information becomes apparent, as it is pivotal for reliable geomechanical models. This physics-informed deep neural network overcomes the limitations of traditional methods by nearly eliminating the need for explicit boundary condition inputs.

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Deep Learning ML Neural Network AI Research 101

AI Weekly

AUGUST 10, 2023

siliconangle.com Sponsor Make Smarter Business Decisions with The Information Looking for a competitive edge in the world of business? The Information offers access to exclusive insights from the industry's top journalists. For a limited time, subscribe and save 25% on your first year. Subscribe today!] 1.41%) (BRK.B 1.41%) (BRK.B

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Neural Network Natural Language Processing Deep Learning Robotics 246

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

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Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Marktechpost

DECEMBER 5, 2023

University Teknikal Malaysia Melaka (UTeM) researchers have formulated an approach to Human Activity Recognition (HAR) to tackle traditional limitations. They have introduced a system that leverages Channel State Information (CSI) and advanced deep learning techniques. If you like our work, you will love our newsletter.

Deep Learning 107

Deep Learning AI Researcher AI Research Algorithm 107

Marktechpost

OCTOBER 11, 2023

The recently published research paper aims to address this challenge and shed light on alternative splicing regulation using a novel deep-learning model. Researchers have historically relied on traditional methods to study alternative splicing in the realm of gene regulation. Join our AI Channel on Whatsapp.

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Deep Learning Neural Network AI AI 115

Marktechpost

DECEMBER 8, 2023

Deep learning is finding its utility in all aspects of life. Its applications span diverse fields, from image and speech recognition to medical diagnosis and autonomous vehicles, showcasing its transformative potential in revolutionizing how machines comprehend and respond to information. It has become successful in robotics.

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Deep Learning Robotics Algorithm AI Research 128

Marktechpost

JULY 13, 2023

Molecular scientists are hailing the breakthrough accuracy of deep learning approaches like AlphaFold and RoseTTAFold in identifying the most probable structures for proteins from their amino acid sequences. DiG is a deep learning framework for molecular systems that simulates this procedure.

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

Marktechpost

NOVEMBER 30, 2023

The introduction addresses challenges in identifying vulnerable communities and understanding poverty determinants, citing information gaps and limitations of household surveys. The use of attribution maps in explaining deep-learning imaging models is discussed, and the study assesses model properties for interpretability.

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

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Neural Network Convolutional Neural Networks Robotics Deep Learning 262

Marktechpost

JULY 2, 2023

Rather than using the traditional approach of processing array representations like pixels, recent work has proposed a framework called functa for performing deep learning directly on these field representations. They perform well in many research areas, including generation, inference, and classification. Want to support us?

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

Marktechpost

NOVEMBER 23, 2023

Nodes are connected based on shared data points, revealing informative relationships between predictions and training data. Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Deep Learning AI Modeling Neural Network Machine Learning 124

Marktechpost

JANUARY 3, 2024

Addressing these challenges, a UK-based research team introduced a hybrid method, merging deep learning and traditional computer vision techniques to enhance tracking accuracy for fish in complex experiments. The deep learning part involves the use of object detection and tracking.

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Deep Learning Computer Vision Automation AI Researcher 117

AI Weekly

JANUARY 2, 2025

In the last year, AI has also been associated with the latest technology revolution for generative AI, large language models, and solutions that promise to change the way we do work, process information and interface with electronic technology in general. moderndiplomacy.eu decrypt.co You can also subscribe via email.

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Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 130

Marktechpost

NOVEMBER 25, 2023

The practical success of deep learning in processing and modeling large amounts of high-dimensional and multi-modal data has grown exponentially in recent years. Iterative approaches to maximize this metric can be seen as what popular deep network designs like transformers are.

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Deep Learning Auto-classification Auto-complete BERT 126

AI Weekly

NOVEMBER 23, 2023

Connect with industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. igamingbusiness.com Ethics What’s the smart way of moving forward with AI? Be ready for a twofer. singularitynet.io

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Convolutional Neural Networks Neural Network OpenAI Robotics 258

Marktechpost

DECEMBER 3, 2023

PepCNN, a deep learning model developed by researchers from Griffith University, RIKEN Center for Integrative Medical Sciences, Rutgers University, and The University of Tokyo, addresses the problem of predicting protein-peptide binding residues. These advancements highlight the effectiveness of the proposed method.

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Deep Learning Categorization AI Research AI Researcher 107

Marktechpost

OCTOBER 2, 2023

It involves the information about the morphology and topography of the surface to identify the defects. The Korean Research Institute of Standards and Science researchers have developed a technology based on deep learning techniques that enables real-time 3D measurements using a single-sot pattern projection method.

Deep Learning 117

Deep Learning Algorithm AI Researcher AI Research 117

Unite.AI

JUNE 22, 2023

AI can leverage large clinical databases that include key information about the target identification. These data sources can include biomedical research, biomolecular information, clinical trial data, protein structures, etc. This will help evaluate how the drug molecule interacts with the human body.

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Marktechpost

SEPTEMBER 6, 2023

There has been vast research going on in this domain. Artificial Intelligence and Deep Learning models also play an important role in Seismiography as they are used to predict earthquakes. They used Deep Learning behind this model, as it is useful for handling larger datasets. We are still a lot to discover.

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Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 98

Marktechpost

DECEMBER 17, 2023

Traditional neural networks struggle to comprehend and process these heterogeneous data sets due to their inherent bias towards certain types of information. The proposed transformative technique involving frequency reduction enhances neural networks’ capacity to decode intricate information within these datasets.

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Neural Network Deep Learning Data Analysis AI Research 107

Marktechpost

DECEMBER 16, 2023

This publication offers candid insights into the convergence of neuroscience principles and deep learning methodologies. The team behind the development of snnTorch emphasizes the significance of spiking neural networks, highlighting their emulation of the brain’s efficient information-processing mechanisms.

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Neural Network Deep Learning Python Artificial Intelligence 109

Marktechpost

NOVEMBER 16, 2023

Four types of GNNs are considered, ranging from models with internal layers manipulating only E(3) invariant quantities to those using E(3) equivariant quantities with increasing physics-informed model architectures. All credit for this research goes to the researchers of this project. Check out the Paper.

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Deep Learning Neural Network Computer Vision AI 103

Marktechpost

DECEMBER 17, 2023

Deep learning has the potential to enhance molecular docking by improving scoring functions. Current sampling protocols often need prior information to generate accurate ligand binding poses, limiting scoring function accuracy. Deep learning can enhance accuracy but relies on effective pose sampling.

Deep Learning 96

Deep Learning Python AI Research AI Researcher 96

Marktechpost

DECEMBER 10, 2023

Self-attention is effective because it can represent complicated facts by tightly routing information inside a context window. They have yet to be as successful in modeling discrete, information-dense material like text. This enables the model to retain pertinent information forever while eliminating unnecessary data.

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Deep Learning Neural Network Machine Learning AI Research 126

Marktechpost

NOVEMBER 21, 2023

The advent of deep learning has significantly influenced various fields, extending its impact across diverse domains. Different formats are utilized for processing audio files, and many of these representations result in a loss of information, which complicates the production of high-quality audio samples.

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Deep Learning AI Modeling Automation AI Research 103

AI Weekly

APRIL 11, 2024

Generative AI is igniting a new era of innovation within the back office. And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses.

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AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. samples/2003.10304/page_0.png'

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Metadata Convolutional Neural Networks Generative AI Data Scientist 112

Marktechpost

JULY 20, 2023

To assist with this problem, researchers develop a U3DTT technology, which stands for ‘underwater three-dimensional tactile tensegrity’ The U3DTT works on deep learning algorithms like Neural networks, Autoencoders, and Boltzmann machines. It also has diverse applications related to deep learning technologies.

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Deep Learning Robotics Neural Network Artificial Intelligence 98

Marktechpost

SEPTEMBER 1, 2023

Smartphones now hold immense amounts of sensitive information, making security a pressing concern. Researchers have been exploring behavioral and physiological biometrics for enhancing mobile device security. Incorporating machine learning and deep learning algorithms has shown promise in bolstering security.

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Deep Learning Machine Learning Algorithm Convolutional Neural Networks 103

Marktechpost

SEPTEMBER 10, 2023

Researchers think that high-speed testing using Deep Learning models can help us understand these effects better and speed up catalyst development. The way a catalyst’s surface is shaped matters for certain chemical reactions due to various properties of the catalyst, which we study in Surface Chemistry.

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Marktechpost

NOVEMBER 24, 2023

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 limitations of existing models, TDNODE allows unbiased predictions from truncated data. If you like our work, you will love our newsletter.

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Deep Learning Neural Network ML Machine Learning 111