Viso.ai

DECEMBER 3, 2023

The automatic identification of objects, persons, and scenes can provide useful information to automate tasks (counting, inspection, verification, etc.) across the value chains of businesses. However, the main disadvantage of object detectors is that they are computationally very expensive and require significant processing power.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Towards AI

JULY 8, 2024

This guide­ explains IoT home automation parts, bene­fits, and set up. What are­ IoT and Home Automation? IoT links devices to the­ internet and each othe­r for automation. Home automation uses IoT for smart control of lights, climate, se­curity, and appliances. It makes homes more­ convenient, efficie­nt, and automated.

Automation 73

Automation Explainability AI AI 73

Marktechpost

AUGUST 4, 2024

Addressing this issue, researchers have introduced automated techniques to generate a broad spectrum of environments and planning tasks, thus enriching the training datasets for LLM-based agents. These results underscore the effectiveness of AGENTGEN in enhancing the capabilities of LLM-based agents, regardless of the specific model used.

Automation 118

Automation LLM Large Language Models Artificial Intelligence 118

Unite.AI

DECEMBER 20, 2023

5G technology offers several advantages that make it particularly well-suited for use with automation technologies. This is crucial for real-time communication and control in automation applications. This is essential for the Internet of Things (IoT) and the increasing number of interconnected devices in automated systems.

Automation 305

Automation Robotics Artificial Intelligence Artificial Intelligence 305

O'Reilly Media

JANUARY 17, 2023

Figuring out what kinds of problems are amenable to automation through code. Companies build or buy software to automate human labor, allowing them to eliminate existing jobs or help teams to accomplish more. Because if companies use code to automate business rules, they use ML/AI to automate decisions. Building Models.

Automation 133

Automation Robotics Data Scientist Software Development 133

Pickl AI

MARCH 15, 2024

Tableau Data Types: Definition, Usage, and Examples Tableau has become a game-changer in the world of data visualization. Don’t Be Afraid to Get a Manual Even with automation, there can be situations where data types need a manual nudge. Tableau recognizes numbers, dates, text, locations, and more.

Categorization 52

Categorization Python Automation 52

John Snow Labs

OCTOBER 29, 2024

With features like automated data extraction, real-time filtering, and intelligent tabular result views, users can focus more on synthesis and analysis rather than tedious manual searches. The post Automating Literature Reviews: Streamlining Medical Research with AI appeared first on John Snow Labs.

Automation 52

Automation Chatbots Data Extraction AI 52

Pickl AI

MARCH 18, 2024

Definition, Types & How to Create Ever felt overwhelmed by data but unsure how to translate it into actionable insights? Bonus Tip: Automation for Efficiency For reports requiring frequent updates, consider using Excel formulas or macros to automate data refresh and calculations. MIS Report in Excel?

Data Analysis 52

Data Analysis Explainability Categorization Automation 52

AWS Machine Learning Blog

OCTOBER 22, 2024

It accelerates your generative AI journey from prototype to production because you don’t need to learn about specialized workflow frameworks to automate model development or notebook execution at scale. Download the pipeline definition as a JSON file to your local environment by choosing Export at the bottom of the visual editor.

Automation 75

Automation LLM DevOps Python 75

AI News

JUNE 17, 2024

Among the over 50 NVIDIA research projects being presented, two papers have been selected as finalists for CVPR’s Best Paper Awards – one exploring the training dynamics of diffusion models and another on high-definition maps for self-driving cars. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Visual AI 325

Visual AI Robotics Computer Vision Big Data 325

AWS Machine Learning Blog

JUNE 25, 2024

When the automated content processing steps are complete, you can use the output for downstream tasks, such as to invoke different components in a customer service backend application, or to insert the generated tags into metadata of each document for product recommendation.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

Marktechpost

AUGUST 17, 2024

Formal definitions and model-checking algorithms form the basis of current techniques for creating attack graphs. Often, such approaches only utilize static formal definitions of an attack, which cannot be dynamically applied to new attack vectors.

Large Language Models 59

Large Language Models Automation Algorithm AI 59

IBM Journey to AI blog

SEPTEMBER 19, 2023

For a long time, there wasn’t a good standard definition of observability that encompassed organizational needs while keeping the spirit of IT monitoring intact. Eventually, the concept of “Observability = Metrics + Traces + Logs” became the de facto definition.

Automation 240

Automation DevOps Artificial Intelligence Artificial Intelligence 240

LevelAI

FEBRUARY 5, 2024

Automating the QA process is a solution that can address these shortcomings, but there are many pitfalls to avoid when automation contact center QA. Not all QA automation tools are made equal and vary wildly in scope and quality. Let’s delve into the potential pitfalls to avoid when automating call center QA.

Automation 52

Automation Text Analytics Natural Language Processing Generative AI 52

The MLOps Blog

JUNE 4, 2024

GitHub Actions and Neptune are an ideal combination for automating machine-learning model training and experimentation. Once we’ve committed the workflow definition to our repository and pushed it to GitHub, we’ll see our new workflow in the “Actions” tab. If not, we’ll provide an example at the end of this section.)

ML 59

ML Automation Metadata Machine Learning 59

IBM Journey to AI blog

SEPTEMBER 5, 2024

Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality. Establishing standardized definitions and control measures builds a solid foundation that evolves as the framework matures.

Metadata 189

Metadata Data Quality Auto-classification DevOps 189

IBM Journey to AI blog

JULY 1, 2024

Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to understanding and maintaining a trustworthy system of data pipelines.

ETL 100

ETL Automation Metadata Business Intelligence 100

IBM Journey to AI blog

JANUARY 8, 2024

Event triggers are used to automate workflows or decisions, allowing businesses to generate notifications so appropriate actions can be taken as swiftly as situations are detected. Flexible and customizable Kafka configurations can be automated by using a simple user interface. Ready to take the next step?

Automation 277

Automation Data Quality Explainability 277

AI Impacts

JANUARY 4, 2024

As always, our questions about ‘high level machine intelligence’ (HLMI) and ‘full automation of labor’ (FAOL) got very different answers, and individuals disagreed a lot (shown as thin lines below), but the aggregate forecasts for both sets of questions dropped sharply. (Fig

Large Language Models 351

Large Language Models AI Research AI Researcher AI 351

Marktechpost

JANUARY 15, 2024

Even with the advances in automated subtitling facilitated by Machine Translation (MT) and Automatic Speech Recognition (ASR), automated dubbing is still a laborious and expensive procedure that frequently requires human involvement. It also offers strong metadata support for a range of difficult video operations.

Automation 64

Automation Metadata AI AI 64

DataRobot Blog

MAY 10, 2022

In this post, we will dive deeper into the first component of managing model risk, and look at opportunities at how automation provided by DataRobot brings about efficiencies in the development and implementation of models. . With this definition of model risk, how do we ensure the models we build are technically correct? Download Now.

Automation 64

Automation Machine Learning Data Quality Algorithm 64

Flipboard

NOVEMBER 5, 2024

BSN performs one classification task and five survival tasks: predicting lymph node invasion (LNI), biochemical recurrence-free survival (BCR-FS), metastasis-free survival, definitive androgen deprivation therapy-free survival, castration-resistant PCa-free survival, and PCa-specific survival& (PCSS).

Automation 65

Automation Machine Learning 65

IBM Journey to AI blog

MARCH 20, 2024

Integration helps connect, automate and digitally transform businesses. With IBM Cloud Pak® for Integration, organizations are able to unleash their business potential, deliver new experiences, improve customer outcomes and enable automations that can scale across the enterprise.

Automation 220

Automation DevOps AI AI 220

AWS Machine Learning Blog

MAY 1, 2024

The AWS CDK allows modeling of the entire stack, including frontend React code, backend functions and workflows, and cloud infrastructure definitions packaged together. App deployment The app is effortless to deploy using the AWS CDK.

Automation 116

Automation Software Development Artificial Intelligence Artificial Intelligence 116

IBM Journey to AI blog

FEBRUARY 26, 2024

Will it be automated or manual? What they might or might not have in place is the automated mechanism that redirects traffic to those redundant systems when a core service goes down. Or will you failover to another provider, maintaining a seamless user experience? On the back-end, how will that failover process work?

Automation 285

Automation 285

Ofemwire

MAY 9, 2023

If you’re looking to stay ahead of the competition in 2023, AI email automation tools are an essential part of your toolbox. AI-driven email automation tools can take your email marketing efforts to the next level, saving you time and boosting your ROI. With the use of AI, email automation becomes even more powerful.

Automation 52

Automation ChatGPT AI AI 52

Towards AI

OCTOBER 4, 2024

this article, we will deploy resources on AWS through Terraform and create a CI/CD pipeline on Gitlab to automate the deployment process. Figure 3: AMIs in action Part III: Terraform structure definition and configuration. Think of it as a pre-packaged set of instructions for building a virtual server.

DevOps 116

DevOps Automation AI AI 116

Unite.AI

JUNE 14, 2023

Coming Disruptions Enabled by GenAI Generative AI has the potential to disrupt the application security ecosystem in several ways: Automated Vulnerability Detection : Traditional vulnerability scanning tools often rely on manual rule definition or limited pattern matching.

LLM 275

LLM Generative AI Machine Learning Automation 275

Aiiot Talk

MAY 3, 2023

It’s an umbrella term for AI that produces content, which is a versatile definition. This tech opens the door for new and diverse outputs, from creating entirely new products and services to automating a wide range of tasks. AI automation cuts costs and improves your company’s bottom line.

Artificial Intelligence 246

Artificial Intelligence Artificial Intelligence Generative AI Automation 246

AWS Machine Learning Blog

SEPTEMBER 4, 2024

Specifically for the model building stage, Amazon SageMaker Pipelines automates the process by managing the infrastructure and resources needed to process data, train models, and run evaluation tests. This configuration takes the form of a Directed Acyclic Graph (DAG) represented as a JSON pipeline definition.

DevOps 96

DevOps ML Engineer Metadata ML 96

Snorkel AI

JUNE 22, 2023

They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. Transparency is a critical ingredient in improving the quality and changing data through automated approaches. Most, most definitely. But the risks are real, and governance is critical to this process.

Data Quality 52

Data Quality Automation Data Scientist ML 52

Snorkel AI

JUNE 22, 2023

They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. Transparency is a critical ingredient in improving the quality and changing data through automated approaches. Most, most definitely. But the risks are real, and governance is critical to this process.

Data Quality 52

Data Quality Automation Data Scientist AI 52

Snorkel AI

JUNE 22, 2023

They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. Transparency is a critical ingredient in improving the quality and changing data through automated approaches. Most, most definitely. But the risks are real, and governance is critical to this process.

Data Quality 52

Data Quality Automation Data Scientist AI 52

Unite.AI

NOVEMBER 20, 2024

Pros and Cons Automates video editing, saving significant time. By automating these tasks, Munch streamlines the content creation process so creators can efficiently repurpose existing videos and extend their reach across various platforms! However, it requires Internet, lacks advanced editing features, and is relatively expensive.

Automation 130

Automation AI AI Natural Language Processing 130

NVIDIA

SEPTEMBER 27, 2024

This allows for diverse and redundant processing of sensor data from the L60’s vision-based sensor suite of high-definition cameras (with maximum forward detection of 687 meters) and 4D radar (with maximum detection range of 370 meters).

Automation 115

Automation AI AI Artificial Intelligence 115

Marktechpost

JUNE 13, 2024

The output of an LLM can be drastically altered by tweaking just a few parameters, such as the definition of a function call or the retrieval parameters. To automate prompt engineering, Hamming AI has introduced Prompt Optimizer, a new function now in beta. It automates the evaluation process by leveraging large language models (LLMs).

Large Language Models 121

Large Language Models Prompt Engineer Prompt Engineering AI 121

Unite.AI

NOVEMBER 6, 2024

In the meantime, business interests remain frustrated by the possibility that the expensive models they wish to exploit could expose them to legal ramifications when definitive legislation and definitions eventually emerge. If we had to give it a definition, in this case it might be called ‘face-washing'.

Generative AI 147

Generative AI Computer Vision AI Modeling Large Language Models 147