AI Weekly

APRIL 11, 2024

No legacy process is safe. 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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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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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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Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

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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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Marktechpost

JUNE 3, 2024

Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. It covers AI fundamentals, including supervised learning and deep learning basics, without complex math.

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Aiiot Talk

AUGUST 10, 2024

Unless facilities adapt, they risk experiencing more and longer delays as their workers, robots and conveyors struggle to keep up with the sheer volume of orders.” Combining deep learning, natural language processing, surveillance systems and computer vision would enable rapid decision-making.

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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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Towards AI

SEPTEMBER 30, 2024

Presently across many sectors, new advancements in fields such as AI, NLP (natural language processing), robotics, and computer vision are being utilized to boost operational efficiency.

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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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IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. Examples include self-driving cars and machines navigating warehouses and other environments.

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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.

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Marktechpost

MARCH 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

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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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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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IBM Journey to AI blog

JANUARY 10, 2024

Algorithms: Algorithms are the sets of rules AI systems use to process data and make decisions. The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. AI-powered robots can even assemble cars and minimize radiation from wildfires.

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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

JUNE 13, 2024

These structured processes are necessary for developing robust and effective AI systems. Across fields such as Natural Language Processing (NLP) , computer vision , and recommendation systems , AI workflows power important applications like chatbots, sentiment analysis , image recognition, and personalized content delivery.

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Marktechpost

JUNE 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

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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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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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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. With repetition, the agent learns the best strategies.

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Marktechpost

FEBRUARY 4, 2024

Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance in numerous tasks, making them invaluable in the field of natural language processing and computer vision.

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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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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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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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Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

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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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Pickl AI

FEBRUARY 1, 2023

Transfer Learning in Deep Learning: A Brief Overview Collecting large volumes of data, filtering it and then interpreting is a challenging task. Yes, Transfer Learning is the answer to it. What is Transfer Learning? Eventually, making it a powerful and efficient tool in Machine Learning.

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Marktechpost

NOVEMBER 16, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

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Unite.AI

SEPTEMBER 11, 2024

From there, I began programming liquid-handling robots and helping data scientists understand the parameters for anomaly detection, which made me more interested in programming. There’s also no need to tune a statistical model, which requires deep expertise in time series statistics.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Marktechpost

JULY 11, 2023

Large Language Models (LLMs) are known for their human-like capabilities to generate content, answer questions, and that too with linguistic accuracy and consistency. LLMs are able to produce coherent text quickly while understanding and responding to prompts and even learn from a small number of instances.

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Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Vaswani et al.

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Dlabs.ai

JUNE 19, 2020

If you Google ‘ what’s needed for deep learning ,’ you’ll find plenty of advice that says vast swathes of labeled data (say, millions of images with annotated sections) are an absolute must. You may well come away thinking, deep learning is for ‘superhumans only’ — superhumans with supercomputers. Sounds interesting?

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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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