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The Future of Machine Learning in Cybersecurity

CIO

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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Industrial IoT startup Litmus Automation bags new cash to grow its product

TechCrunch

In recent years, a cottage industry has sprung up around the industrial internet of things (IoT) landscape — and the data generated by it. Despite the crowdedness in the industrial IoT sector, Vatsal Shah argues that there’s room for one more competitor. This is something Litmus specializes in.” billion in 2020.

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The role of IoT in shaping smart cities

CIO

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Popular examples include NB-IoT and LoRaWAN.

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The Shape of Things to Come: What’s the Future of Computer Programming?

The Crazy Programmer

But more devices attached to the internet means more security vulnerabilities — which means a big surge in cyberattacks on IoT devices. Artificial Intelligence and Machine Learning. Machine learning is already an integral part of software development and use. Cloud Development. Big Data is Everything.

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Intelligent IoT: Bringing the power of AI to the Internet of Things

CTOvision

The IoT is getting smarter. Companies are incorporating artificial intelligence—in particular, machine learning—into their Internet of Things applications and seeing capabilities grow, including improving operational efficiency and helping avoid unplanned […].

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5 ways AI can help mitigate the global shipping crisis

TechCrunch

If you don’t have the data about what is on a ship transporting your materials, then use this crisis as an opportunity to justify prioritizing supply chain digital transformation with data, IoT and advanced analytics (e.g., machine learning and simulation).

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Applications and innovations in the Internet of Things (IoT)

Hacker Earth Developers Blog

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IoT ecosystems consist of internet-enabled smart devices that have integrated sensors, processors, and communication hardware to capture, analyze, and send data from their immediate environments.

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