Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data.

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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. What is Deep Learning? This is why the technique is known as "deep" learning.

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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.

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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.

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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.

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AI Weekly

DECEMBER 14, 2023

jdsupra.com Robotics I Visited Hyundai's AI-Powered Factory to See the New Ioniq 5 Robotaxi Hyundai Motor Group's new Innovation Center in Singapore is a test bed for highly automated automotive manufacturing and design. Although it walks like the terrifying dog-like robots from Boston Dynamics, it's. Who's a good boy?

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Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

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Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

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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.

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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. It iteratively runs learning and predictions within probability parameters and ultimately derives an output.

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AssemblyAI

MAY 14, 2024

It uses natural language processing to identify and organize discussion points, decisions, and future tasks. Mental Health Monitoring Companies like Ellipsis Health use advanced machine learning to analyze the semantic content of speech (what is said) and the acoustic aspect (how it's said) to detect mental health issues.

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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.

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AI Weekly

FEBRUARY 22, 2024

arstechnica.com Why artificial general intelligence lies beyond deep learning Sam Altman’s recent employment saga and speculation about OpenAI’s groundbreaking Q* model have renewed public interest in the possibilities and risks of artificial general intelligence (AGI). venturebeat.com Ethics China’s Rush to Dominate A.I.

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Pickl AI

APRIL 19, 2024

Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics.

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Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. It is important to note that Machine Learning has several subsets including neural networks, deep learning, and reinforcement learning. What is NLP?

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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.

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Towards AI

FEBRUARY 19, 2023

From NeurIPS to KDD, these conferences bring together leading experts in machine learning, deep learning, natural language processing, and more. The conference covers a wide range of topics, including computer vision, natural language processing, and reinforcement learning.

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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. However, its evolution has been following the same patterns as the famous Moore’s law.

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IBM Journey to AI blog

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research.

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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.

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IBM Journey to AI blog

JULY 11, 2023

AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain. Robotic surgery often means less scarring and shorter recovery times than traditional surgery. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

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NYU Center for Data Science

JULY 18, 2023

Their work specializes in signal processing and inverse problems, machine learning and deep learning, and high-dimensional statistics and probability. The group works on machine learning in a broad range of applications, predominately in computer perception, natural language understanding, robotics, and healthcare.

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Marktechpost

JULY 11, 2023

Deep Learning is everywhere. Deep learning is a subfield of machine learning which enables computers to learn and make predictions from large amounts of data. It has revolutionized lots of fields, and the trend seems to continue in the near future. The disconnect between theory and practice is growing.

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Marktechpost

JULY 19, 2023

By using more advanced algorithms and incorporating multimodality, GPT-4 is poised to take natural language processing to the next level, allowing it to tackle more complex reasoning problems and further improve its ability to generate human-like responses.

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Unite.AI

FEBRUARY 16, 2024

Unsupervised learning involves finding patterns in unlabeled data, while reinforcement learning centers around learning from actions and feedback, optimizing for rewards, or minimizing costs. They often need help with adaptability, especially in novel situations, and more transparency in explaining their reasoning.

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Marktechpost

JULY 27, 2023

In recent years, there have been significant breakthroughs in the field of Deep Learning, particularly in the popular sub-fields of Artificial Intelligence, including Natural Language Processing (NLP), Natural Language Understanding (NLU) and Computer Vision (CV).

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Marktechpost

AUGUST 27, 2023

These techniques of speech and facial recognition fall under a broad category of Natural Language Processing. It is also called a smart brain, which is a direct communication pathway between the brain’s electrical impulses and an external device which is most probably a robot or an AI chatbot.

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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.

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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. Deep learning techniques further enhanced this, enabling sophisticated image and speech recognition.

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Mlearning.ai

JULY 17, 2023

These techniques have proven to be powerful in various domains, from natural language processing to computer vision and beyond. Transfer Learning: Transfer learning involves leveraging pre-trained models on large datasets and fine-tuning them to specific tasks.

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Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. NLP has the ability to revolutionize the legal landscape as we know it by teaching robots the complexities of legal vocabulary, grammar, and semantics.

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Heartbeat

MARCH 22, 2023

A Vision for the Future: How Computer Vision is Transforming Robotics — by Randy Barak a Computer vision is crucial to robotics because it allows robots to see and interpret their environment. Thanks to this capability, robots can perform tasks such as object identification and tracking, navigation, and scene interpretation.

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PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for deep learning program before you go.

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How to Learn Machine Learning

JANUARY 21, 2023

At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. It is used in many areas including robotics, healthcare, finance, marketing and even autonomous vehicles. This has helped to drive innovation in the industry.

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ODSC - Open Data Science

APRIL 21, 2023

The artificial intelligence would analyze students’ behavior, tracing their interaction with the learning platform and then offering suggestions as to where students could improve. On the more advanced end of the spectrum, OpenAI’s technology is also being used to create robots that can interact with the world around them.

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Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

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Heartbeat

MAY 30, 2023

It combines reinforcement learning (RL), a type of learning in which an agent learns through examinations and experimentations by receiving rewards or punishments based on its actions, with deep learning. This machine learning subset uses artificially generated neural networks to model complex data relationships.

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