Voicebox Australia demos Voice Artificial Intelligence breakthrough

Voicebox, an established provider in the growing conversational voice market, demonstrated ground-breaking advances made by Voicebox Australia, its AI Center of Excellence partnership with Macquarie University, at the Macquarie Park Innovation District (MPID) Global Innovation Summit.

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IoT botnets present ‘Unmanageable’ cyber security risk, warns Juniper Research

New data from Juniper Research has found that the consumer IoT (Internet of Things) installed base will reach over 15 billion units by 2021, an increase of 120% over 2016.

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Why Machine learning, Data Analytics and Internet of Things are BFF

Internet of Things is often associated with making common objects smart and connected. But it’s not enough to ‘give senses’ to inanimate objects. What we need to do next is to let IoT think and learn. Here is why.

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CES 2017 highlights 360-degree cameras, smart speakers, wearables and virtual/augmented reality themes

As the biggest consumer electronics companies in the world unveil their latest new products, Martin Garner, SVP, Internet at CCS Insight examines some key themes at the show.

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Securing our connected future

In a society where connectivity is everything, our expectations of technology are constantly increasing and changing. It is estimated that there will be 20 billion connected devices by 2020, the data gathered in this IoT era is helping businesses stay relevant, understand their customers more fluently and improve various parts of their lives.

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How important is predictive maintenance to your business?

What is Machine Learning? Machine Learning can be described as the study and construction of algorithms that can learn from and make predictions on data, rather than follow programmed instructions. IoT and Machine Learning are said to go hand in hand.

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Machine learning is cybersecurity’s latest pipe dream – Part 2

What is normal? It’s important to remember there is no silver bullet in security, and there is no evidence at all that tools such as ML and AI can solve the problem. ML is good at finding similarities between things (such as spam emails), but it is not so good at locating anomalies.

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Machine learning is cybersecurity’s latest pipe dream – Part 1

A recurring claim at security conferences is that “security is a big data / machine learning (ML) / artificial intelligence (AI) problem”. This is unfortunately wildly optimistic, and wrong in general. While certain security problems can be addressed by ML/AI algorithms, in general the problem of detecting a malicious actor amidst the vast trove of

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Google leads tech, testing and software development for autonomous driving, says IHS

Southfield, Mich., USA. November 12, 2015 – Autonomous driving continues to be one of the most widespread R&D activities within the global automotive industry. Car makers and tech companies are striving to deploy advances for on-road testing and approvals.

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