AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. 1.41%) (BRK.B

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Unite.AI

MARCH 2, 2025

These models can process vast amounts of data, generate human-like text, assist in decision-making, and enhance automation across industries. For years, deep learning has relied on traditional dense layers, where every neuron in one layer is connected to every neuron in the next.

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Unite.AI

JANUARY 18, 2025

Key Features of NPUs Parallel Processing : By dividing computational tasks into many smaller ones, NPUs can handle extensive matrix operations far faster than CPUs, which typically execute instructions in a more linear or serial manner. sensors, drones, autonomous vehicles, and more.

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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

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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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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Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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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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Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. S191: Introduction to Deep Learning MIT’s 6.S191

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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. AIs role in fast food is not limited to ordering.

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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

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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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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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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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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NVIDIA

OCTOBER 8, 2024

NVIDIA’s Joint Center with Carnegie Mellon University (CMU) for Robotics, Autonomy and AI will equip higher-education faculty, students and researchers with the latest technologies and boost innovation in the fields of AI and robotics. News & World Report — has pioneered work in autonomous vehicles and natural language processing.

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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.

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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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Unite.AI

JANUARY 9, 2024

Apple prioritizes computer vision , natural language processing , voice recognition, and healthcare to enhance its products. Google focuses on expanding AI in search, advertising, cloud, healthcare, and education, with a particular emphasis on deep learning.

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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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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Powers advancements in NLP, robotics, healthcare, finance, and entertainment industries. Processing vast datasets in record time facilitates weather prediction and drug discovery breakthroughs.

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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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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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Pickl AI

DECEMBER 29, 2024

Some key types include: Gaussian distribution : Often used in Machine Learning algorithms like Gaussian Naive Bayes and as a fundamental assumption in many models. Poisson distribution : Applied when predicting count-based outcomes, such as in natural language processing.

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Pickl AI

APRIL 9, 2025

Summary: Artificial Intelligence (AI) and Deep Learning (DL) are often confused. AI vs Deep Learning is a common topic of discussion, as AI encompasses broader intelligent systems, while DL is a subset focused on neural networks. Is Deep Learning just another name for AI? Is all AI Deep Learning?

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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.

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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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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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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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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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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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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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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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