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Security Affairs newsletter Round 455 by Pierluigi Paganini – INTERNATIONAL EDITION

Security Affairs

Every week the best security articles from Security Affairs are free for you in your email box. A new round of the weekly SecurityAffairs newsletter arrived! Enjoy a new round of the weekly SecurityAffairs newsletter, including the international press. Patch it now!

Security 103
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Security Affairs newsletter Round 450 by Pierluigi Paganini – INTERNATIONAL EDITION

Security Affairs

Every week the best security articles from Security Affairs are free for you in your email box. A new round of the weekly SecurityAffairs newsletter arrived! Enjoy a new round of the weekly SecurityAffairs newsletter, including the international press.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Take the next step When comparing FPGAs and GPUs, consider the power of cloud infrastructure for your deep learning projects.

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Using Fuzzing to Mine for Zero-Days

Threatpost

Infosec Insider Derek Manky discusses how new technologies and economic models are facilitating fuzzing in today's security landscape.

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Five open-source AI tools to know

IBM Big Data Hub

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. The readily available nature of open-source AI also raises security concerns; malicious actors could leverage the same tools to manipulate outcomes or create harmful content.

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Research shows extensive use of AI contains data breaches faster and saves significant costs

IBM Big Data Hub

The Cost of a Data Breach 2023 global survey found that extensively using artificial intelligence (AI) and automation benefited organizations by saving nearly USD 1.8 ” Other security challenges that organizations face include the following: A cyber skills gap and capacity restraints from stretched teams and employee turnover.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. What is machine learning?