Marktechpost

FEBRUARY 23, 2025

Furthermore, these frameworks often lack flexibility in assessing diverse research outputs, such as novel algorithms, model architectures, or predictions. This system, the first Gym environment for ML tasks, facilitates the study of RL techniques for training AI agents. Check out the Paper and GitHub Page.

AI Researcher 93

AI Researcher AI Research Software Engineer AI 93

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Unite.AI

AUGUST 2, 2023

To tackle the issue of single modality, Meta AI released the data2vec, the first of a kind, self supervised high-performance algorithm to learn patterns information from three different modalities: image, text, and speech. Why Does the AI Industry Need the Data2Vec Algorithm?

Computer Vision 246

Computer Vision Natural Language Processing Algorithm Convolutional Neural Networks 246

IBM Journey to AI blog

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. When someone asks a question via speech or text, ML searches for the answer or recalls similar questions the person has asked before.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

Viso.ai

DECEMBER 20, 2023

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. We will also discuss which approach is best for specific applications.

Computer Vision 98

Computer Vision Machine Learning Neural Network Algorithm 98

AWS Machine Learning Blog

DECEMBER 14, 2023

To overcome this business challenge, ICL decided to develop in-house capabilities to use machine learning (ML) for computer vision (CV) to automatically monitor their mining machines. As a traditional mining company, the availability of internal resources with data science, CV, or ML skills was limited.

Computer Vision 118

Computer Vision Convolutional Neural Networks Machine Learning ML 118

Viso.ai

FEBRUARY 25, 2024

Image reconstruction is an AI-powered process central to computer vision. In this article, we’ll provide a deep dive into using computer vision for image reconstruction. About Us: Viso Suite is the end-to-end computer vision platform helping enterprises solve challenges across industry lines.

Computer Vision 98

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 98

Flipboard

JANUARY 6, 2025

The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan. The demand for modernization is growing, and Precise can help government agencies adopt AI/ML technologies.

ML 65

ML Machine Learning Automation Natural Language Processing 65

Marktechpost

AUGUST 1, 2024

MoNE integrates a nested architecture within Vision Transformers, where experts with varying computational capacities are arranged hierarchically. Each token is dynamically routed to an appropriate expert using the Expert Preferred Routing (EPR) algorithm. If you like our work, you will love our newsletter.

Computer Vision 130

Computer Vision Algorithm AI Researcher AI Research 130

Marktechpost

DECEMBER 14, 2023

Many branches of biology, including ecology, evolutionary biology, and biodiversity, are increasingly turning to digital imagery and computer vision as research tools. The researchers have identified two main obstacles to creating a vision foundation model in biology. If you like our work, you will love our newsletter.

Computer Vision 113

Computer Vision ML AI AI 113

Unite.AI

FEBRUARY 12, 2025

The software leverages machine learning algorithms to analyze historical sales, seasonality, and other variables, producing more accurate forecasts than manual spreadsheet methods. The AI/ML engine built into MachineMetrics analyzes this machine data to detect anomalies and patterns that might indicate emerging problems. Visit Fiix 7.

AI Tools 260

AI Tools Machine Learning Auto-complete AI 260

Unite.AI

AUGUST 29, 2023

In the past few years, Artificial Intelligence (AI) and Machine Learning (ML) have witnessed a meteoric rise in popularity and applications, not only in the industry but also in academia. It’s the major reason why its difficult to build a standard ML architecture for IoT networks.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

Unite.AI

SEPTEMBER 15, 2023

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing various domains such as natural language processing , computer vision , speech recognition , recommendation systems, and self-driving cars.

Natural Language Processing 278

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 278

Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? Traditional machine learning is a broad term that covers a wide variety of algorithms primarily driven by statistics. The two main types of traditional ML algorithms are supervised and unsupervised.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. ByteTrack is an algorithm for tracking multiple moving objects in videos, such as people walking through a store.

Python 109

Python Algorithm Computer Vision Deep Learning 109

AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi AlphaGO was.

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

Marktechpost

DECEMBER 12, 2024

As artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) become central to innovation across industries, they also bring challenges that cannot be ignored. These workloads demand powerful computing resources, efficient memory management, and well-optimized software to make the most of the hardware.

ML 104

ML Computer Vision Algorithm Artificial Intelligence 104

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

ML 165

ML Python Machine Learning Algorithm 165

Towards AI

JANUARY 31, 2025

Explainability leverages user interfaces, charts, business intelligence tools, some explanation metrics, and other methodologies to discover how the algorithms reach their conclusions.

Deep Learning 95

Deep Learning Computer Vision Explainability NLP 95

Unite.AI

MARCH 6, 2025

It analyzes over 250 data points per property using proprietary algorithms to forecast which homes are most likely to list within the next 12 months. Top Features: Predictive analytics algorithm that identifies 70%+ of future listings in a territory. to integrate valuations into your website or CRM) Visit HouseCanary 4.

AI 147

AI AI Automation Algorithm 147

Towards AI

JULY 9, 2024

Advances in artificial intelligence and machine learning have led to the development of increasingly complex object detection algorithms, which allow us to efficiently and precisely interpret large volumes of geographical data. According to IBM, Object detection is a computer vision task that looks for items in digital images.

Convolutional Neural Networks 109

Convolutional Neural Networks ML Neural Network Computer Vision 109

Unite.AI

DECEMBER 20, 2023

In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Algorithmic Complexity Complex AI algorithms often have complex architectures and numerous hyperparameters. Moreover, troubleshooting and debugging are facilitated by reproducibility.

AI Researcher 182

AI Researcher AI Research Algorithm Machine Learning 182

Towards AI

NOVEMBER 2, 2024

Model deployment is the process of making a model accessible and usable in production environments, where it can generate predictions and provide real-time insights to end-users and it’s an essential skill for every ML or AI engineer. 🤖 What is Detectron2? Image taken from the official Colab for Detectron2 training.

Neural Network 105

Neural Network Machine Learning Computer Vision AI Engineer 105

Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

Deep Learning 118

Deep Learning Algorithm Neural Network ML 118

Viso.ai

DECEMBER 16, 2024

Computer vision in retail is a growing field. More and more companies operating in the retail and e-commerce sectors are now using computer vision solutions to better meet customer needs and manage inventory. provides the leading end-to-end Computer Vision Platform Viso Suite. About us: Viso.ai

Computer Vision 59

Computer Vision Deep Learning Algorithm Automation 59

Marktechpost

JANUARY 30, 2025

Contrastingly, agentic systems incorporate machine learning (ML) and artificial intelligence (AI) methodologies that allow them to adapt, learn from experience, and navigate uncertain environments. Sensor Fusion: When dealing with multiple sensory inputs, an agent might rely on sensor fusion algorithms.

Robotics 116

Robotics Convolutional Neural Networks Large Language Models AI 116

Marktechpost

JULY 24, 2024

Addressing this challenge, researchers from Eindhoven University of Technology have introduced a novel method that leverages the power of pre-trained Transformer models, a proven success in various domains such as Computer Vision and Natural Language Processing. This issue is crucial in achieving optimal performance in AutoML.

Machine Learning 109

Machine Learning ML Natural Language Processing Computer Vision 109

IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. Computer vision is a factor in the development of self-driving cars.

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Marktechpost

MARCH 8, 2025

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. By visualizing computational steps, this technique enables systematic derivation of GPU-aware optimizations.

Deep Learning 51

Deep Learning Natural Language Processing Computer Vision Algorithm 51

AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. His passion is for solving challenging real-world computer vision problems and exploring new state-of-the-art methods to do so.

Prompt Engineer 99

Prompt Engineer Prompt Engineering Data Scientist Large Language Models 99

IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Marktechpost

MARCH 30, 2024

TensorFlow has a flexible ecosystem of tools, libraries, and community resources that enable researchers to enhance the state-of-the-art in machine learning while allowing developers to create and deploy ML-powered applications effortlessly. OpenCV comprises hundreds of computer vision algorithms, making it highly versatile and robust.

Deep Learning 123

Deep Learning Machine Learning Python Computer Vision 123

IBM Journey to AI blog

DECEMBER 20, 2023

It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development. It will also guide the procurement of the necessary hardware, software and cloud computing resources to ensure effective AI implementation.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. She is passionate about innovation and inclusion.

ML 119

ML Auto-classification Auto-complete Natural Language Processing 119

Marktechpost

FEBRUARY 11, 2024

This process allows these models to achieve state-of-the-art image quality, making them one of the most significant developments in Machine Learning (ML) in the past few years. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Also, don’t forget to follow us on Twitter and Google News.

Algorithm 131

Algorithm Machine Learning ML Computer Vision 131

Unite.AI

JANUARY 15, 2025

Together, we continued the long journey of building advanced systems that combined computer vision, ML, radar, and autonomous technologies to solve this problem. By combining radar, Lidar, optical sensors, and advanced algorithms, we created a unified system that drastically improved detection accuracy.

Robotics 147

Robotics Computer Vision Automation Machine Learning 147

Marktechpost

JANUARY 19, 2025

Test-time compute scaling has proven effective for LLMs through improved search algorithms, verification methods, and compute allocation strategies. Moreover, sample selection and optimization methods have been developed using Random Search algorithms, VQA models, and human preference models.

Algorithm 87

Algorithm AI AI LLM 87