Marktechpost

DECEMBER 10, 2024

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Artificial Neural Networks are computational systems inspired by the human brain’s structure and functionality. How Do Artificial Neural Networks Work?

Neural Network 107

Neural Network Convolutional Neural Networks Natural Language Processing Algorithm 107

Unite.AI

OCTOBER 4, 2024

Robotic perception has long been challenged by the complexity of real-world environments, often requiring fixed settings and predefined objects. Most robots are designed to operate in fixed environments with predefined objects, which limits their ability to adapt to unpredictable or cluttered settings.

Robotics 147

Robotics Neural Network Computer Vision Natural Language Processing 147

Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. The AIs intent recognition models detect modifications and update the order accordingly, reducing the need for manual corrections.

Automation 157

Automation AI AI Neural Network 157

AI Weekly

JANUARY 18, 2024

medium.com Robotics From Warehouses to Hospitals: Yujin Robot’s Cutting-Edge Robotic Solutions It transforms traditional factories into smart, interconnected systems, optimizing processes through real-time data, predictive maintenance, and increased customization.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

AI Weekly

DECEMBER 14, 2023

theconversation.com Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain. Who's a good boy?

AI Chatbots 264

AI Chatbots Chatbots Robotics Large Language Models 264

Unite.AI

MARCH 2, 2025

From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology. These models can process vast amounts of data, generate human-like text, assist in decision-making, and enhance automation across industries.

Deep Learning 159

Deep Learning Neural Network Automation AI 159

IBM Journey to AI blog

AUGUST 13, 2024

Where it all started During the second half of the 20 th century, IBM researchers used popular games such as checkers and backgammon to train some of the earliest neural networks, developing technologies that would become the basis for 21 st -century AI.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

Marktechpost

JANUARY 30, 2025

Image Source Agentic AI is born out of a need for software and robotic systems that can operate with independence and responsiveness. Industrial Robotics Robot arms on factory floors coordinate with sensor networks to assemble products more efficiently, diagnosing faults and adjusting their operation in real time.

Robotics 113

Robotics Convolutional Neural Networks Large Language Models AI 113

Pickl AI

JANUARY 29, 2025

Whether you’re interested in image recognition, natural language processing, or even creating a dating app algorithm, theres a project here for everyone. Natural Language Processing: Powers applications such as language translation, sentiment analysis, and chatbots.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

NVIDIA

OCTOBER 18, 2023

That reach now includes areas that touch edge, robotics and logistics systems: defect detection, real-time asset tracking, autonomous planning and navigation, human-robot interactions and more. Transforming the AI Landscape Generative AI dramatically improves ease of use by understanding human language prompts to make model changes.

Robotics 127

Robotics Generative AI Convolutional Neural Networks Neural Network 127

Pickl AI

DECEMBER 29, 2024

Linear algebra helps in data manipulation and neural network training. Operations like addition, multiplication, and transposition of matrices are widely used for data transformation and neural network computations. Boolean algebra helps AI systems process logical statements and derive conclusions based on input data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Pickl AI

AUGUST 14, 2024

Summary: Neural networks are a key technique in Machine Learning, inspired by the human brain. Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Marktechpost

JUNE 3, 2024

This article lists top Intel AI courses, including those on deep learning, NLP, time-series analysis, anomaly detection, robotics, and edge AI deployment, providing a comprehensive learning path for leveraging Intel’s AI technologies. Deep Learning for Robotics This course teaches applying machine learning to robotics.

Convolutional Neural Networks 119

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 119

IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. Reinforcement learning algorithms are common in video game development and are frequently used to teach robots how to replicate human tasks.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Marktechpost

MARCH 20, 2025

Let’s create a small dataset of abstracts from various fields: Copy Code Copied Use a different Browser abstracts = [ { "id": 1, "title": "Deep Learning for Natural Language Processing", "abstract": "This paper explores recent advances in deep learning models for natural language processing tasks.

Natural Language Processing 57

Natural Language Processing Convolutional Neural Networks Neural Network Computer Vision 57

Unite.AI

FEBRUARY 19, 2024

Existing scholarly works predominantly present the theoretical foundations of Robotic Process Automation (RPA) or its industry-specific implications within specific domains, notably finance, manufacturing, or healthcare. So why is this recently expounded phenomenon surprising industries?

Neural Network 182

Neural Network Natural Language Processing Automation Robotics 182

Pickl AI

SEPTEMBER 3, 2024

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Topbots

AUGUST 13, 2024

Figure 02 at BMW factory The robotics industry stands on the brink of a significant transformation, with many experts – including NVIDIA CEO Jensen Huang – suggesting that we might be approaching a “ChatGPT moment” for robotics. Below, we explore four key opportunities shaping the future of humanoid robotics.

Robotics 98

Robotics Neural Network Generative AI Natural Language Processing 98

ODSC - Open Data Science

NOVEMBER 28, 2024

NVIDIA’s AI Tools Suite to Aid in Accelerated Humanoid Robotics Development NVIDIA’s AI tools suite may drive developers toward complex machine learning and natural language processing solutions. In all likelihood, AI technology and humanoid robotics will progress hand in hand in the coming years.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network LLM Natural Language Processing 52

NVIDIA

FEBRUARY 11, 2025

They said transformer models , large language models (LLMs), vision language models (VLMs) and other neural networks still being built are part of an important new category they dubbed foundation models. Earlier neural networks were narrowly tuned for specific tasks.

Neural Network 55

Neural Network Large Language Models Robotics BERT 55

IBM Journey to AI blog

JANUARY 10, 2024

AI can also work from deep learning algorithms, a subset of ML that uses multi-layered artificial neural networks (ANNs)—hence the “deep” descriptor—to model high-level abstractions within big data infrastructures. AI-powered robots can even assemble cars and minimize radiation from wildfires.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

IBM Journey to AI blog

FEBRUARY 14, 2024

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

Marktechpost

OCTOBER 23, 2024

From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI. Derivatives are key to optimizing functions like the loss function in neural networks by measuring rates of change.

Neural Network 113

Neural Network Algorithm Robotics Machine Learning 113

Marktechpost

FEBRUARY 22, 2024

In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as delineating object boundaries in datasets like COCO or categorizing images in ImageNet. This approach has demonstrated effectiveness in natural language processing and reinforcement learning.

Computer Vision 128

Computer Vision Natural Language Processing Neural Network Categorization 128

Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

Neural Network 195

Neural Network Machine Learning Algorithm Natural Language Processing 195

Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Combines GPUs, low-latency networking, and optimised storage for peak performance. Powers advancements in NLP, robotics, healthcare, finance, and entertainment industries.

Computer Vision 52

Computer Vision Natural Language Processing Robotics Machine Learning 52

IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

Artificial Intelligence 209

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 209

Marktechpost

MARCH 28, 2024

Artificial Intelligence: A Modern Approach This is a well-acclaimed book that covers the breadth of AI topics, including problem-solving, knowledge representation, machine learning, and natural language processing. It covers topics like robotics and large language models and examines the forces that fuel these innovations.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 142

Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving.

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 143

Towards AI

MARCH 3, 2025

In todays rapidly evolving AI landscape, robotics is breaking new ground with the integration of sophisticated internal simulations known as world models. These models empower robots to predict, plan, and adapt in complex environments making them not only smarter but also more autonomous.

Robotics 77

Robotics Neural Network Natural Language Processing Computer Vision 77

Marktechpost

JUNE 18, 2024

With the rapid advancements in artificial intelligence, LLMs such as GPT-4 and LLaMA have significantly enhanced natural language processing. Recent innovations include integrating MCTS with physics-informed neural networks for dynamic robotics tasks.

Neural Network 138

Neural Network Natural Language Processing Algorithm Artificial Intelligence 138

Towards AI

APRIL 8, 2023

Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. Originally published on Towards AI. Join thousands of data leaders on the AI newsletter.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 98

Towards AI

MARCH 20, 2023

How do neural networks contribute to generative AI? How does natural language processing (NLP) relate to generative AI? What is the role of generative AI models in the field of robotics? How does generative AI differ from other types of AI? What are the most popular generative AI models?

Generative AI 93

Generative AI Neural Network Natural Language Processing AI Modeling 93

Unite.AI

DECEMBER 7, 2023

It's widely used in scenarios like game-playing and robotics, allowing computers to learn optimal decision-making through a process of trial and error. It learns optimal strategies through self-play, guided by a neural network for moves and position evaluation.

Large Language Models 204

Large Language Models OpenAI Neural Network Natural Language Processing 204

Marktechpost

JUNE 28, 2024

Artificial Intelligence: A Modern Approach This is a well-acclaimed book that covers the breadth of AI topics, including problem-solving, knowledge representation, machine learning, and natural language processing. It covers topics like robotics and large language models and examines the forces that fuel these innovations.

Artificial Intelligence 114

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 114

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240