IBM Journey to AI blog

MAY 9, 2023

In today’s digital world, business and IT leaders are turning to automation to improve operational efficiency, increase employee productivity and, ultimately, boost business performance. At IBM, we believe that organizations need AI coupled with automation to help developers reduce time to productivity. Powered by IBM watsonx.ai

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Unite.AI

MARCH 19, 2025

Currently, GenAI in banking is mostly used to automate critical but repetitive tasks or processes, including security, loan origination, fraud detection, and to deliver better automated service experiences. But the power of GenAI is that it produces content based on data and information plus prompts and directions given by humans.

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AI News

FEBRUARY 25, 2025

Well soon introduce advanced agentic tool integration, multi-modal capabilities, and deeper Web3 synergy to enhance ASI-1 Minis automation capabilities while keeping AIs value creation in the hands of its contributors. See also: Endor Labs: AI transparency vs open-washing Want to learn more about AI and big data from industry leaders?

AI Modeling 268

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Unite.AI

NOVEMBER 5, 2024

Smart Robotics offers technology and services designed to automate pick-and-place stations in fulfillment centers. However, in today’s society there is an ever increasing and varying consumer demand, which is why logistics- and production companies are in need of more flexible and innovative pick & place automation.

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Analytics Vidhya

MAY 19, 2024

By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions.

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Unite.AI

DECEMBER 17, 2024

Financial institutions are in fact starting to deploy AI in anti-financial crime (AFC) efforts – to monitor transactions, generate suspicious activity reports, automate fraud detection and more. AI systems, especially deep learning models, can be difficult to interpret.

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Unite.AI

FEBRUARY 25, 2025

the AI company revolutionizing automated logical reasoning, has announced the release of ImandraX, its latest advancement in neurosymbolic AI reasoning. ImandraX pushes the boundaries of AI by integrating powerful automated reasoning with AI agents, verification frameworks, and real-world decision-making models. Imandra Inc. ,

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The MLOps Blog

MARCH 13, 2025

In our paper Bayesian Deep Learning is Needed in the Age of Large-Scale AI , we argue that the case above is not the exception but rather the rule and a direct consequence of the research community’s focus on predictive accuracy as a single metric of interest. we might not know how fast the parade moves).

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Analytics Vidhya

NOVEMBER 12, 2022

Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].

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Unite.AI

JANUARY 24, 2025

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. He also held ML and deep learning roles at Google.

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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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.

Deep Learning 155

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Analytics Vidhya

NOVEMBER 23, 2022

Source: totaljobs.com Introduction TensorFlow is one of the most promising deep learning frameworks for developing cutting-edge deep learning solutions. Given the popularity and extensive usage of TensorFlow in the industry to automate processes and create new tools, it is imperative to have a […].

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Deep Learning Data Science Automation Python 328

Unite.AI

JANUARY 17, 2025

We are inherently lazy, always seeking ways to automate even the most minor tasks. True automation means not having to lift a finger to get things done. These systems use sophisticated algorithms, including machine learning and deep learning, to analyze data, identify patterns, and make informed decisions.

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AI News

MARCH 25, 2025

Combining deep learning-based large language models (LLMs) with reasoning synthesis engines, o3 marked a breakthrough where AI transitioned beyond rote memorisation. Image credit: ARC Prize) See also: DeepSeek V3-0324 tops non-reasoning AI models in open-source first Want to learn more about AI and big data from industry leaders?

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AI News

JUNE 3, 2024

Harnessing the Power of Machine Learning and Deep Learning At TickLab, our innovative approach is deeply rooted in the advanced capabilities of machine learning (ML) and deep learning (DL). Deep learning, a subset of ML, plays a crucial role in our data analysis and decision-making processes.

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Aiiot Talk

AUGUST 10, 2024

Could automation powered by artificial intelligence be the solution they’re searching for? How AI Can Optimize Packaging Line Efficiency Automation is one of AI’s most significant ways to optimize packaging line efficiency. However, this technology doesn’t just automate processes — it understands its actions.

Automation 174

Automation Robotics Natural Language Processing Artificial Intelligence 174

Analytics Vidhya

APRIL 23, 2023

Sometimes it is the app that you use has that task automated (i.e., deep learning), so you can […] The post Unveiling Power of Filters in Medical X-ray Image Processing appeared first on Analytics Vidhya.

Deep Learning 301

Deep Learning Automation Algorithm Python 301

Unite.AI

FEBRUARY 6, 2025

Their extensive experience in deep learning models and large-scale infrastructure management led to the development of a state-of-the-art platform as a service (PaaS), built to eliminate AI deployment bottlenecks and streamline machine learning workflows.

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Unite.AI

MARCH 12, 2025

Deep learning models further enhance security by detecting new cyberattacks based on subtle system anomalies. By employing deep learning algorithms, including Long Short-Term Memory (LSTM) networks, Amex significantly enhances its fraud detection capabilities.

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Marktechpost

MARCH 8, 2025

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. A primary issue in deep learning computation is optimizing data movement within GPU architectures.

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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 270

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Unite.AI

APRIL 6, 2025

This transformation is the beginning of a new era for fast food, where automation and technology play a larger role in everyday operations. Wendys drive-thru sales account for nearly 70% of its total revenue, making it a prime area for automation and optimization. The integration of AI in fast food provides several key benefits.

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IBM Journey to AI blog

JUNE 14, 2023

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. That sounds like a joke, but we’re quite serious.

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AI Weekly

JULY 6, 2023

Predictive Analytics By leveraging machine learning algorithms, medical workflow software can analyze patient data to identify patterns. Amazon's Sparrow robot can pick up products that previously required human hands. plos.org Sponsor Enterprise Devs love us.

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Marktechpost

NOVEMBER 16, 2024

Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology. Computer Vision The Computer Vision Nanodegree Program offers advanced training in computer vision, deep learning, and robotics.

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Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion.

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Analytics Vidhya

NOVEMBER 22, 2024

Language models have transformed how we interact with data, enabling applications like chatbots, sentiment analysis, and even automated content generation. However, most discussions revolve around large-scale models like GPT-3 or GPT-4, which require significant computational resources and vast datasets.

Chatbots 208

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Flipboard

NOVEMBER 20, 2024

Here we present RhoFold+, an RNA language model-based deep learning method that accurately predicts 3D structures of single-chain RNAs from sequences. million RNA sequences and leveraging techniques to address data scarcity, RhoFold+ offers a fully automated end-to-end pipeline for RNA 3D structure prediction.

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Analytics Vidhya

DECEMBER 11, 2022

Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. The post Machine Learning with Limited Data appeared first on Analytics Vidhya.

Machine Learning 361

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Marktechpost

NOVEMBER 17, 2024

While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort.

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Marktechpost

MARCH 23, 2024

HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. This approach simplifies the quantization process for users and reduces the manual effort required.

Deep Learning 144

Deep Learning Python Large Language Models Automation 144

NVIDIA

JANUARY 24, 2025

Using NVIDIA GPUs, the researchers trained a deep learning model to analyze years of Cassini data in seconds. Read the full paper, Rapid Automated Mapping of Clouds on Titan With Instance Segmentation. How It Works At the projects core is Mask R-CNN a deep learning model that doesnt just detect objects.

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Unite.AI

NOVEMBER 12, 2024

Adobe Firefly is an AI-driven video editing tool that exploits the power of deep learning algorithms to transform video creation and enhance creative workflows. Firefly's features are designed to automate time-consuming tasks while providing users comprehensive control over the final output.

Automation 157

Automation AI AI Deep Learning 157

Unite.AI

FEBRUARY 12, 2025

AGI, still under development, seeks to create machines that can think, learn, and comprehend a variety of functions like human abilities. Advancements in technologies like neural networks, which are vital for deep learning due to their design inspired by the human brain, are playing an essential role in the development of ASI.

Neural Network 254

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NVIDIA

MARCH 19, 2025

Everybody at NVIDIA is incentivized to figure out how to work together because the accelerated computing work that NVIDIA does requires full-stack optimization, said Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. You have to work together as one team to achieve acceleration.

Deep Learning 106

Deep Learning Neural Network Robotics Large Language Models 106

Unite.AI

FEBRUARY 27, 2025

Unlike traditional AI tools that rely on predefined rules, Muse uses deep learning techniques to generate game assets based on context and user input. By automating tedious tasks, indie developers can focus on creativity and innovation. Understanding Muse Muse is Microsofts generative AI model developed specifically for gaming.

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