Dataconomy

MARCH 19, 2025

Tensor Processing Units (TPUs) represent a significant leap in hardware specifically designed for machine learning tasks. They are essential for processing large amounts of data efficiently, particularly in deep learning applications. TPUs are specialized hardware designed to accelerate and optimize machine learning workloads.

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Dataconomy

MARCH 20, 2025

TensorFlow has revolutionized the field of machine learning and deep learning since its inception. TensorFlow is an open-source framework designed for machine learning and deep learning applications. What is TensorFlow?

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Smart Data Collective

FEBRUARY 23, 2023

Although there are plenty of tech jobs out there at the moment thanks to the tech talent gap and the Great Resignation, for people who want to secure competitive packages and accelerate their software development career with sought-after java jobs , a knowledge of deep learning or AI could help you to stand out from the rest.

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Towards AI

AUGUST 8, 2024

Last Updated on August 8, 2024 by Editorial Team Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Marius Masalar on Unsplash Deep learning. A subset of machine learning utilizing multilayered neural networks, otherwise known as deep neural networks. Let’s answer that question. In TensorFlow 2.0,

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Dataconomy

FEBRUARY 26, 2024

Groq’s online presence introduces its LPUs, or ‘language processing units,’ as “ a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component to them, such as AI language applications (LLMs).

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Hacker News

OCTOBER 11, 2024

The release of NVIDIA’s GeForce 256 twenty-five years ago today, overlooked by all but hardcore PC gamers and tech enthusiasts at the time, would go on to lay the foundation for today’s generative AI. From Gaming to AI: The GPU’s Next Frontier As gaming worlds grew in complexity, so too did the computational demands.

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Towards AI

SEPTEMBER 1, 2023

Last Updated on September 2, 2023 by Editorial Team Author(s): Patrick Meyer Originally published on Towards AI. SpaCy is a language processing library written in Python and Cython that has been well-established since 2016. Join thousands of data leaders on the AI newsletter. Published via Towards AI

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

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Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society.

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NYU Center for Data Science

JULY 18, 2023

From Minds, Brains, and Machines to MaD these cohorts of data science researchers strive to forward models and research in the growing field of AI. Their work specializes in signal processing and inverse problems, machine learning and deep learning, and high-dimensional statistics and probability.

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. ★ Roboflow : [Again !!!!]

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AWS Machine Learning Blog

MAY 10, 2023

Introducing two generative AI extensions for Jupyter Generative AI can significantly boost the productivity of data scientists and developers as they write code. Today, we are announcing two Jupyter extensions that bring generative AI to Jupyter users through a chat UI, IPython magic commands, and autocompletion.

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Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Chittal Patel Originally published on Towards AI. Deep learning algorithms can be applied to solving many challenging problems in image classification. 1030–1033, 2016. irregular illuminated conditions, shading, and blemishes. Adhikari, O. Moselhi, and A.

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Dataconomy

JUNE 15, 2023

From its humble beginnings to the present day, AI has captivated the minds of scientists and sparked endless possibilities. In recent years, AI has become an integral part of our lives. Ever since the 1940s, artificial intelligence (AI) has been a part of our lives.

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Pickl AI

FEBRUARY 14, 2023

Artificial Intelligence (AI) has emerged as one of the most efficient technologies for business organizations within the last few years. Accordingly, AI has become one of the leading technologies for Startups in India to cater to the end customers in the market. As one of the top brands in the list of AI startups in India, Beethoven.ai

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Towards AI

FEBRUARY 27, 2024

Last Updated on February 27, 2024 by Editorial Team Author(s): IVAN ILIN Originally published on Towards AI. The whole machine learning industry since the early days was growing on open source solutions like scikit learn (2007) and then deep learning frameworks — TensorFlow (2015) and PyTorch (2016).

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Pickl AI

APRIL 8, 2024

Summary: AI’s immense potential is undeniable, but its journey riddle with roadblocks. This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. 13 AI Mistakes That Are Worth Your Attention 1.

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Pickl AI

JULY 24, 2024

This journey reflects the evolving understanding of intelligence and the transformative impact AI has on various industries and society as a whole. Introduction Artificial Intelligence (AI) has evolved from theoretical concepts to a transformative force in technology and society.

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AWS Machine Learning Blog

JANUARY 17, 2024

The underlying Deep Learning Container (DLC) of the deployment is the Large Model Inference (LMI) NeuronX DLC. This limitation highlights the need to fine-tune these generative AI models with domain-specific data to enhance their performance in these specialized areas. He retired from EPFL in December 2016.nnIn

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ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. An experience that weighs learning heavily. While an oversimplification, the generalisability of current deep learning approaches is impressive.

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions.

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ODSC - Open Data Science

OCTOBER 4, 2024

In the rapidly developing fields of AI and data science, innovation is constant, and constantly advances by leaps and bounds. He has also worked at research organizations like the Machine Intelligence Research Institute and startups focusing on AI and automation. She also advises companies on building AI platforms.

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Mlearning.ai

JUNE 16, 2023

The most common transfer learning recipe is suboptimal. The current practice of building AI applications in the Medical Imaging space often sticks to a suboptimal approach. However, current literature has repeatedly shown that this transfer learning approach has limits and is suboptimal for the medical domain. pre-training).

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Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

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Dataconomy

FEBRUARY 22, 2023

The recent victory of a human player over a Go-playing AI system highlights a crucial issue in the field of machine learning prediction: the vulnerability of these systems to adversarial attacks. Sedol attributed his retirement from Go three years later to the rise of AI, saying that it was “an entity that cannot be defeated.”

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Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. Highlights included: Developed new deep learning models for text classification, parsing, tagging, and NER with near state-of-the-art accuracy. Demystifying “AI” by making it easier to use and understand is a big part of that.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration.

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ODSC - Open Data Science

SEPTEMBER 22, 2023

Recently, we formally announced that the Ai X Business and Innovation Summit  — co-located with ODSC West this October 31st & November 1st — will be changing up the formula from what we normally do. Alex Watson | Co-Founder | Gretel AI Alex has been a trailblazer in the technology sector, focusing on data security and innovation.

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ML Review

JUNE 4, 2018

However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance. In the past we’ve noted the huge effect of new datasets on research fields in AI. COCO enabled data-intensive deep neural networks to learn the mapping from images to sentences.

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AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. GPT-J 6B large language model GPT-J 6B is an open-source, 6-billion-parameter model released by Eleuther AI.

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AWS Machine Learning Blog

JULY 13, 2023

Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening new possibilities with generative AI: large language models (LLMs) that synthesize natural language, text-to-image generators, and more. International Conference on Machine Learning.

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ML Review

FEBRUARY 26, 2018

The most significant innovation in AI these recent years, smart chatbots, personal assistants, are only a glimpse of what the future holds. Tasks such as “I’d like to book a one-way flight from New York to Paris for tomorrow” can be solved by the intention commitment + slot filing matching or deep reinforcement learning (DRL) model.

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Mlearning.ai

APRIL 10, 2023

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. 1207–1221, May 2016, doi: 10.1109/JSAC.2016.2545384. 2016.2545384.

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BAIR

APRIL 6, 2023

These robots use recent advances in deep learning to operate autonomously in unstructured environments. By pooling data from all robots in the fleet, the entire fleet can efficiently learn from the experience of each individual robot. training of large models) to the cloud via the Internet.

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Heartbeat

FEBRUARY 2, 2024

As AI strives to emulate human-like understanding, VQA plays a pivotal role by demanding systems to recognize objects and scenes in images and comprehend and respond to human-generated questions about those images. It's remarkable diversity and scale position it as a cornerstone for evaluating and benchmarking VQA algorithms.

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AWS Machine Learning Blog

MARCH 29, 2023

Conclusion HAYAT HOLDING was evaluating an advanced analytics platform as part of their digital transformation strategy and wanted to bring AI to the organization for quality prediction in production. Digital Transformation, OT Security and Data & AI projects. Hayat” means “life” in Turkish.

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