Unite.AI

MARCH 10, 2024

In an era increasingly defined by automation and efficiency, robotics has become a cornerstone of warehouse operations across various sectors, ranging from e-commerce to automotive production. However, this robotic revolution brings its own set of challenges.

Robotics 173

Robotics Neural Network Deep Learning AI 173

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 voxeurop.eu

Neural Network 197

Neural Network Convolutional Neural Networks Robotics Deep Learning 197

AI Weekly

NOVEMBER 23, 2023

forbes.com Applied use cases From Data To Diagnosis: A Deep Learning Approach To Glaucoma Detection When the algorithm is implemented in clinical practice, clinicians collect data such as optic disc photographs, visual fields, and intraocular pressure readings from patients and preprocess the data before applying the algorithm to diagnose glaucoma.

Convolutional Neural Networks 184

Convolutional Neural Networks OpenAI Neural Network Robotics 184

AI Weekly

AUGUST 10, 2023

dezeen.com New deep learning model can predict passwords from keystroke sound with 95% accuracy A team of researchers in the United Kingdom developed a deep learning model that can accurately predict what you are typing based on the sounds from keyboard keystrokes, Bleeping Computer reported on August 5. 1.41%) (BRK.B

Neural Network 208

Neural Network Natural Language Processing Robotics Deep Learning 208

Unite.AI

OCTOBER 5, 2023

This is your third AI book, the first two being: “Practical Deep Learning: A Python-Base Introduction,” and “Math for Deep Learning: What You Need to Know to Understand Neural Networks” What was your initial intention when you set out to write this book? Different target audience.

Neural Network 298

Neural Network Deep Learning Machine Learning AI 298

Unite.AI

JUNE 25, 2023

The study, published in Nature Machine Intelligence , proposes a groundbreaking hybrid methodology aimed at refining how AI-based machinery senses, interacts, and reacts to its environment in real-time—critical for autonomous vehicles and precision-action robots.

Computer Vision 361

Computer Vision Robotics Neural Network Hybrid AI 361

Pickl AI

JUNE 5, 2023

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future. The growth in Deep Learning applications in the real world will boost its market.

Deep Learning 52

Deep Learning Neural Network Robotics NLP 52

Unite.AI

JANUARY 26, 2024

This entirely AI-powered newsletter leverages a deep neural network to highlight major breakthroughs in AI and its allied fields. LLMs have leveraged developments in Deep Reinforcement Learning (DRL), a crucial framework in AI evolution.

Robotics 264

Robotics Neural Network Machine Learning Large Language Models 264

Heartbeat

OCTOBER 11, 2023

This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. Overfitting: When a machine learning model excels on the training data but fails to generalize to new data, overfitting has taken place. What is Deep Learning?

Deep Learning 52

Deep Learning Machine Learning Neural Network Natural Language Processing 52

AI Weekly

MARCH 21, 2024

Robotics Disney showcasing latest robots at Robotics Summit & Expo If you’ve ever been to a Disney park, you’ve probably interacted with work from Disney’s Imagineering team. Founded in 1952, the team is tasked with bringing our favorite characters from the screen into the real world using cutting-edge robotics technology.

Convolutional Neural Networks 193

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 193

Heartbeat

MARCH 14, 2023

As robots need to be able to pick up on their surroundings and adapt accordingly, this is a crucial skill for the field. In this article, I would like to take a look at the current challenges in the field of robotics and discuss the relevance and applications of computer vision in this area.

Computer Vision 97

Computer Vision Robotics Deep Learning Algorithm 97

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.

Deep Learning 96

Deep Learning Robotics Neural Network Artificial Intelligence 96

Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

Computer Vision 52

Computer Vision Deep Learning Neural Network Algorithm 52

AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation. Get it today!]

Neural Network 204

Neural Network Robotics Natural Language Processing Convolutional Neural Networks 204

AI Weekly

JANUARY 25, 2024

ft.com OpenAI starts investing in robotics companies The company has secured a whopping $100 million in funding, with OpenAI’s startup fund contributing $23.5 Rapid AI innovation has fueled future predictions, as well, including everything from friendly home robots to artificial general intelligence (AGI) within a decade. decrypt.co

Robotics 222

Robotics Artificial Intelligence Artificial Intelligence Neural Network 222

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. The basic idea of MoEs is to construct a network from a number of expert sub-networks, where each input is processed by a suitable subset of experts.

Deep Learning 118

Deep Learning Algorithm Neural Network ML 118

Marktechpost

APRIL 24, 2024

Deep reinforcement learning (Deep RL) combines reinforcement learning (RL) and deep learning. Deep RL has achieved human-level or superhuman performance for many two-player or multi-player games. 2013 DeepMind showed impressive learning results using deep RL to play Atari video games.

Neural Network 105

Neural Network Deep Learning Algorithm Robotics 105

AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

Robotics 202

Robotics Deep Learning Artificial Intelligence Artificial Intelligence 202

AI Weekly

JULY 13, 2023

In The News Robots at United Nations Summit in Geneva : we have no plans to steal jobs or rebel against humans Robots have no plans to steal the jobs of humans or rebel against their creators, but would like to make the world their playground, nine of the most advanced humanoid robots have told an artificial intelligence summit in Geneva.

Neural Network 172

Neural Network Robotics Computer Vision ChatGPT 172

AI Weekly

DECEMBER 7, 2023

techxplore.com Millions of new materials discovered with deep learning AI tool GNoME finds 2.2 psychologytoday.com Robotics Petrobras Splashes $4MM On Autonomous Visual Inspection Robots In an effort to automate routine inspection activities and improve asset monitoring capabilities, Petroleo Brasileiro S.A.

Convolutional Neural Networks 202

Convolutional Neural Networks AI Modeling Robotics ChatGPT 202

AI Weekly

AUGUST 31, 2023

forbes.com A subcomponent-guided deep learning method for interpretable cancer drug response prediction SubCDR is based on multiple deep neural networks capable of extracting functional subcomponents from the drug SMILES and cell line transcriptome, and decomposing the response prediction. dailymail.co.uk

Generative AI 193

Generative AI Robotics Artificial Intelligence Artificial Intelligence 193

AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? The answer typically depends on whether the person asking owns a robot vacuum cleaner: yesterday or never.

Robotics 218

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 218

AI Weekly

AUGUST 17, 2023

cmswire.com Why humans can't use NLP to speak with the animals We’ve already got machine-learning systems and natural language processors that can translate human speech into any number of existing languages, and adapting that process to convert animal calls into human-interpretable signals doesn’t seem that big of a stretch.

Convolutional Neural Networks 180

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 180

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 211

AI Chatbots Chatbots Robotics Large Language Models 211

Marktechpost

MARCH 11, 2024

Value functions are a core component of deep reinforcement learning (RL). Value functions, implemented with neural networks, undergo training via mean squared error regression to align with bootstrapped target values.

Neural Network 123

Neural Network Categorization Deep Learning Robotics 123

Marktechpost

MARCH 22, 2024

The advent of deep learning propelled the field forward, offering improved accuracy but at the expense of computational efficiency. This dichotomy is particularly pronounced in scenarios requiring instantaneous visual data processing, such as autonomous vehicles, robotic navigation, and interactive augmented reality systems.

Computer Vision 131

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 131

AI Weekly

JUNE 29, 2023

AI is rightly touted as a massively powerful tool biztoc.com Robotics Meet the robots attending the UN’s ‘AI for Good Global’ summit At a UN summit in Geneva next week, tech luminaries ranging from futurist Ray Kurzweil to DeepMind COO Lila Ibrahim will discuss AI for good. phys.org Quantum Computing Inc.

Algorithm 177

Algorithm ChatGPT Convolutional Neural Networks Robotics 177

Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. Unsupervised algorithms do not require training a dataset but instead require data to “learn” on its own. What is Deep Learning?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Alongside topological structure, nodes often possess textual features providing context.

Large Language Models 135

Large Language Models Machine Learning Neural Network Deep Learning 135

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?

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

Marktechpost

NOVEMBER 24, 2023

Neural network (NN) models are developed to predict catalytic properties based on metal composition. Experimental data from robot-driven experiments and cyclic voltammetry activation curves validated NN model predictions and guided optimization. If you like our work, you will love our newsletter.

Robotics 107

Robotics Neural Network Automation AI 107

Analytics Vidhya

MARCH 30, 2022

Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection. Computer vision and deep learning […].

Computer Vision 237

Computer Vision Deep Learning Robotics Automation 237

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Sebastian Ruder

FEBRUARY 23, 2023

This post gives a brief overview of modularity in deep learning. Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. We give an in-depth overview of modularity in our survey on Modular Deep Learning. Case studies of modular deep learning.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

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

Viso.ai

APRIL 29, 2024

STNs are used to “teach” neural networks how to perform spatial transformations on input data to improve spatial invariance. Commonly Used Technologies and Frameworks For Spatial Transformer Networks When it comes to implementation, the usual suspects, TensorFlow and PyTorch , are the go-to backbone for STNs.

Neural Network 52

Neural Network Computer Vision Robotics Convolutional Neural Networks 52

Pickl AI

APRIL 19, 2024

Ultimately, you will also learn how to become an AI expert and how professional certification courses can help you gain AI skills. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Learning AI requires grasping mathematics, statistics, and programming fundamentals.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52