iTexico

FEBRUARY 4, 2020

Artificial Intelligence and Cyber Security | iTexico. If you were asked about artificial intelligence 20 years ago, there's a high probability that your mind would have wandered to the thought of highly smart and autonomous robots taking over most human tasks. Machine Learning Use Cases: iTexico's HAL.

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TechCrunch

AUGUST 12, 2023

Also featured are stories about WeWork’s perennial struggles, Google’s Messages app fully embracing RCS, and spyware maker LetMeSpy shutting down after a massive data breach. If you haven’t already, sign up here to get WiR in your inbox every Saturday. Now, on with the recap.

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Research Spyware ChatGPT Technical Review 246

O'Reilly Media - Ideas

DECEMBER 6, 2022

Facebook’s AI for playing Diplomacy is an exciting new development. Artificial Intelligence. Facebook has developed an AI system that plays Diplomacy. Shutterstock will be collaborating with OpenAI to build a model based on DALL-E that has been trained only on art that Shutterstock has licensed. Who is using Rust?

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TechCrunch

JULY 6, 2022

million in new capital to leverage its artificial intelligence technology so that a printed circuit board could be redesigned in a matter of minutes, Paul writes. Everyone deserves digital : I wrote about Finli, a startup that raised $6 million in new funds to continue developing its payment management app for service-based businesses.

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Ivanti

JANUARY 19, 2022

Not only has The Everywhere Workplace extended the cyber risk and threat landscape—especially for data privacy and its protection—but a lot of Agile software developers, many of whom lack any DevSecOps process, are publishing untested or poorly tested software that can be exploited as zero-days by criminal gangs. The most common?techniques?

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Altexsoft

JUNE 2, 2020

This is where Artificial Intelligence (AI) comes in. What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior.

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Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

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