Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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Cloud Musings

DECEMBER 20, 2016

Photo credit: Shutterstock Over the past few years, the use of artificial intelligence has expanded more rapidly than many of us could have imagined. It simplifies solution development through the use of a collaborative, flexible integrated environment within which all tools, components and services are centrally accessible.

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CIO Business Intelligence

OCTOBER 1, 2024

This necessitates continuous adaptation and innovation across various verticals, from data management and cybersecurity to software development and user experience design. This reimposed the need for cybersecurity leveraging artificial intelligence to generate stronger weapons for defending the ever-under-attack walls of digital systems.

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CTOvision

AUGUST 5, 2016

Deep learning may be the next great frontier in computer development, essentially taking the concept of artificial intelligence and turning it into a reality. While AI has been around for years, many developers believe taking it to the next level is only a matter of time. Rick Delgado.

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CIO Business Intelligence

JUNE 13, 2024

To be known as NIPRGPT, it will be part of the Dark Saber software ecosystem developed at the Air Force Research Laboratory (AFRL) Information Directorate in Rome, New York. Technology is learned by doing,” said Chandra Donelson, DAF’s acting chief data and artificial intelligence officer. “As

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CIO Business Intelligence

MAY 22, 2023

In an open letter, representatives of the Large Scale Artificial Intelligence Open Network (LAION eV) called on EU politicians to moderate AI regulation to proceed. LAION demands that open-source AI models in particular shouldn’t be over-regulated. Artificial Intelligence, Regulation

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CIO Business Intelligence

OCTOBER 2, 2024

But with today’s IT world being completely rewritten by generative artificial intelligence (genAI), the deal illustrates a new IT reality. Mostly it’s because the enterprise IT landscape is now dependent on genAI development to an extent that blocks out almost everything else. Llama is an open source offering from Meta.

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CIO Business Intelligence

NOVEMBER 27, 2023

Intelligent assistants are already changing how we search, analyze information, and do everything from creating code to securing networks and writing articles. Developing and deploying successful AI can be an expensive process with a high risk of failure. The possibilities are endless, but so are the pitfalls. Not at all.

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GeekWire

APRIL 4, 2024

It’s a big year for artificial intelligence, telecom advances, and tools designed to make these emerging technologies safe and transparent, judging from the finalists in the category of Innovation of the Year. Allen Institute for AI is a finalist for its Open Language Model, or OLMo.

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Dataconomy

MAY 15, 2024

Google revealed the sixth iteration of its Tensor Processing Unit (TPU), named Trillium, for data centers at the I/O 2024 Developer Conference. This architecture combines performance-optimized infrastructure, including Trillium TPUs, with open-source software frameworks and adaptable consumption models.

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CIO Business Intelligence

NOVEMBER 4, 2024

The virtuous circle of network effects driving the success of enterprises like Alphabet, Meta, and Amazon aren’t available to organizations selling traditional products and services. Open-source data can be a useful supplement, too, but, by definition, is available to everyone, so not a differentiating factor on its own.

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CIO Business Intelligence

JANUARY 24, 2024

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Great for: Extracting meaning from unstructured data like network traffic, video & speech. Model sizes: ~Millions to billions of parameters.

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Tech Republic Data Center

MAY 31, 2024

Eight tech giants, including Google, Microsoft and Meta, are combining their expertise to create an open standard for an AI chip technology called Ultra Accelerator Link.

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TM Forum

JUNE 9, 2022

“And as we look to the future, traffic is growing year by year, as is the complexity of the network, so we need different kinds of solutions.” Networking people will work with other areas across the business, including marketing and IT to create services for customers. In-house automation.

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GeekWire

FEBRUARY 9, 2022

Last fall, Amazon launched a similar science hub at MIT to investigate artificial intelligence and robotics, and a hub at UCLA to explore social issues in artificial intelligence. “The scale of Amazon’s fulfillment network provides a rich set of problems in AI and robotics,” he said in the release.

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Dataconomy

AUGUST 9, 2023

Digital communication forms the backbone of business operations and personal interactions so network traffic analysis plays a critical role in ensuring smooth functioning and robust security. NTA involves the methodical monitoring and examination of network traffic to identify anomalies, security threats, and irregularities.

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Network Analysis Open Source Tools 36

TM Forum

SEPTEMBER 7, 2022

Artificial Intelligence for network Operations (AIOps) combines big data and machine learning (ML) to automate network operations processes, including event correlation, anomaly detection and causality determination. And as the network changes, sources of actionable data will grow. Ativa™ offering.

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GeekWire

JANUARY 17, 2024

Researchers were also talking about the increased use of artificial intelligence and machine learning, at the the 2024 annual meeting of the Society for Integrative and Comparative Biology. According to the presenters, insects inspire researchers developing six-legged walking robots.

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Dataconomy

AUGUST 3, 2023

In a groundbreaking announcement, Meta has taken a significant leap forward in the world of audio and music creation by open-sourcing AudioCraft, a suite of cutting-edge generative AI tools. EnCodec : EnCodec is a neural network-based audio compression codec that facilitates high-quality, artifact-free music production.

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CIO Business Intelligence

AUGUST 11, 2023

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. It was primarily developed at the University of Massachusetts Amherst. NLTK is offered under the Apache 2.0

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GeekWire

JANUARY 21, 2022

One of the newest and most innovative of these QA models has recently been developed at the Allen Institute for AI (AI2) in Seattle. Macaw, which loosely stands for “Multi-angle c(q)uestion answering,” was developed as an open-source project and is available to the community via GitHub.

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Dataconomy

OCTOBER 24, 2024

Computer vision is one of the most influential areas of artificial intelligence, changing nearly every aspect of our lives, on par with generative AI. Source: Real Computer Vision by Boris Denisenko on Medium Most machine learning engineers don’t build their models from scratch to bring these features to life.

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CIO Business Intelligence

MARCH 9, 2022

In the past, one option was to use open-source data analytics platforms to analyze data using on-premises infrastructure. The solution is made up of CDP running on Dell PowerEdge servers, PowerSwitch networking and PowerScale storage. A Hybrid Cloud World. Cloudera and Dell Technologies for More Data Insights.

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Dataconomy

JUNE 21, 2023

The advancements in artificial intelligence have made it easier than ever to transform doodles into captivating works of art. This is made possible by Scribble Diffusion, an open-source web application powered by AI. Meet Scribble Diffusion, a new art generator. What is Scribble Diffusion?

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CTOvision

JUNE 28, 2016

Machine learning is a subset of Artificial Intelligence, a field of computer science that started in 1958 when Marvin Minsky founded the Artificial Intelligence lab. Their goal was to build a fully artificial intelligence capable of passing the Turing test in fifteen years. And it’s already happening.

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CTOvision

JANUARY 18, 2016

From their manual that includes: Machine intelligence : Artificial intelligence and machine learning technologies, including both core technologies and industry applications. Networks and communities: Connecting professional networks other than office workers (especially those where most of the work is in mobile contexts).

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CIO Business Intelligence

APRIL 25, 2022

According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. Enterprises are betting big on machine learning (ML). IDC agrees. Dell infrastructure is also part of Intel’s cnvrg.io

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CIO Business Intelligence

JULY 11, 2023

This level of explainability will help build trust between users and the artificial intelligence (AI) system, ultimately leading to better outcomes. However, the deployment can be done within an organization’s own virtual private cloud (VPC), ensuring that no data ever leaves their network. Artificial Intelligence, Privacy

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Network World

JULY 18, 2016

AT&T uses artificial intelligence to tell if things are going wrong in its network. The carrier says it’s been using AI for decades in areas like call-center automation but developed it for each use as they came along. Soon, AI may know it before it happens.

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CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. It’s a fundamentals exam, so you don’t need extensive experience to pass.

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Data Big Data Programming IBM 126

The Verge

SEPTEMBER 3, 2021

Later he created Peach , a pop-up social network that remained beloved by its users far after its brief moment in the spotlight faded. After that happened, Ethereum became like any other platform that had suddenly proven itself capable of generating huge amounts of money: it started to attract developers in droves. not audited.

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GeekWire

NOVEMBER 11, 2022

And that gets in the way of taking full advantage of using artificial intelligence technology. A panel of researchers discussed challenges to adopting AI tools in life sciences at the Intelligent Applications Summit hosted by Madrona Venture Group in Seattle last week.

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Dataconomy

DECEMBER 22, 2023

These platforms will give companies a simple way to gain deep insights into cloud infrastructure and workloads, detect threats, and automatically mitigate risks — all without slowing down development teams or hindering business innovation. These open-source CNAPP platforms are only getting better to compete with proprietary vendors.

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Dataconomy

NOVEMBER 6, 2024

That’s why this issue continues to catch the focus of industry leaders, who are investing significant resources to address the problem, as well as smaller research centers and open-source communities. Instead of duplicating layers within the neural network, the weights of a single layer are reused multiple times.

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CIO Business Intelligence

JANUARY 31, 2024

Concerns that AI contributes to global warming stem from estimates that GPUs used to develop and keep AI models running use four times as much energy as those serving conventional cloud applications, and that AI could be on track to use as much electricity as Ireland. With added regulation from sources such as the European Union and the U.S.

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CIO Business Intelligence

SEPTEMBER 21, 2023

It took years for traditional AI—ML and neural networks—to get to the point where they could be embedded. Given how we think the market will develop, generative AI will get embedded into every application we use,” says Nick Patience, research director specializing in AI at S&P Global Market Intelligence.

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Eric D. Brown

OCTOBER 7, 2024

Embrace Open Source Tools: There’s a world of powerful, free data tools out there: R and Python: These programming languages are the backbone of much data analysis and are completely free. KNIME: An open-source data analytics platform. LinkedIn Groups: Join data-focused groups for networking and learning.

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