In recent weeks, a new danger that is highly infectious and evades protection has been unleashed on the world. Its severity is highly critical, and the sheer number of cases threatens to overwhelm the ability to treat it effectively. The danger we are discussing here is not Omicron but Log4j.
4IR is not only a valuable tool for corporations, it also maintains a lot of the critical infrastructure that allows complex modern societies to function at all. Power production and water distribution are examples. In the future, driverless cars, drones, and others will become part of this ecosystem, with critical safety features integrated into them. Increasingly, 4IR is driving warfare and competition between states through the use of soft power, dissemination of propaganda, theft of IP, and over the horizon attacks. It is now easier to steal a high-end car by sniffing the rf code on an electronic key than with a crowbar and a credit card.
With COP26 Glasgow taking place today, here are some thoughts on confidential computing and environmental concerns. With cloud computing being in high demand, companies are competing on resources of electricity, space, and ventilation. This is happening as the demand for better performance is constantly on the rise, heavy processing is taking place, and algorithmic needs are ever-changing. On an environmental level - this all translates to high levels of energy consumption, which causes carbon emission.
There are roughly two categories of artificial intelligence. One is weak, the other is strong. Both are transformational technologies. Weak AI mimics human cognition to automate mundane, repetitive tasks, eliminating human error and labor costs. In order to make computing indistinguishable from human intelligence, strong AI must include learning, recognizing external objects, and being self-aware. Strong AI is still an aspiration, and some would argue that it is unattainable. Those companies whose business models are inextricably linked with 4IR, are on the path to strong AI.
A Gartner report from 2020 described Edge Computing as “part of a distributed computing topology in which information processing is located close to the edge — where things and people produce or consume that information.” The International Data Corporation predicts that more than half of new enterprise infrastructure will be at the edge by 2023, and worldwide spending on edge computing will reach $250 billion by 2024. According to Gartner Inc.’s research, data generated at the edge will increase from 10% today to 75% by 2025.
We had the pleasure to interview Mr. Bharath Ramesh, Head of HPE Edge AI Software & Solutions. In this interview we discussed IoT, cloud and edge technologies, security and future opportunities.
Artificial Intelligence, machine learning, and the algorithms that underpin them are everywhere. Think about all you did yesterday, and with not too much struggle, it should be possible to identify some aspect of every activity that uses them. Let's start with the first cup of coffee in order to pinpoint both 4IR's omnipresence and its invisibility. To make a cup of coffee in many modern homes, you need four elements: a cup, a capsule of coffee or loose beans, an espresso machine or equivalent, and water. If you prefer a cappuccino, milk is the fifth element. Invisibility is simple. You place the cup in the machine, press a button, and drink.
TEL AVIV, Israel – October 26, 2021 – HUB Security (“HUB” or the “Company”), a provider of advanced cybersecurity hardware solutions and professional services, announced today a new comprehensive security solution for hardware control interfaces
The Fourth Industrial Revolution (4IR) is already here. 4IR is an amalgamation of advanced capabilities mixing artificial intelligence (AI), robotics, the Internet of Things (IoT), quantum computing, genetic engineering, and other technologies. These articles seek to explain how widespread 4IR already is, the potential they hold for humankind, the multiple risks, and how to mitigate them.
As a sneak preview of our upcoming “Edge Computing and IoT” event, we sat down with Mr. Blaine Mathieu, CEO at Pratexo, to discuss edge computing and the power of IoT and A
In recent weeks, a new danger that is highly infectious and evades protection has been unleashed on the world. Its severity is highly critical, and the sheer number of cases threatens to overwhelm the ability to treat it effectively. The danger we are discussing here is not Omicron but Log4j.
4IR is not only a valuable tool for corporations, it also maintains a lot of the critical infrastructure that allows complex modern societies to function at all. Power production and water distribution are examples. In the future, driverless cars, drones, and others will become part of this ecosystem, with critical safety features integrated into them. Increasingly, 4IR is driving warfare and competition between states through the use of soft power, dissemination of propaganda, theft of IP, and over the horizon attacks. It is now easier to steal a high-end car by sniffing the rf code on an electronic key than with a crowbar and a credit card.
With COP26 Glasgow taking place today, here are some thoughts on confidential computing and environmental concerns.
With cloud computing being in high demand, companies are competing on resources of electricity, space, and ventilation. This is happening as the demand for better performance is constantly on the rise, heavy processing is taking place, and algorithmic needs are ever-changing.
On an environmental level – this all translates to high levels of energy consumption, which causes carbon emission.
There are roughly two categories of artificial intelligence. One is weak, the other is strong. Both are transformational technologies. Weak AI mimics human cognition to automate mundane, repetitive tasks, eliminating human error and labor costs. In order to make computing indistinguishable from human intelligence, strong AI must include learning, recognizing external objects, and being self-aware. Strong AI is still an aspiration, and some would argue that it is unattainable. Those companies whose business models are inextricably linked with 4IR, are on the path to strong AI.
A Gartner report from 2020 described Edge Computing as “part of a distributed computing topology in which information processing is located close to the edge — where things and people produce or consume that information.”
The International Data Corporation predicts that more than half of new enterprise infrastructure will be at the edge by 2023, and worldwide spending on edge computing will reach $250 billion by 2024. According to Gartner Inc.’s research, data generated at the edge will increase from 10% today to 75% by 2025.
We had the pleasure to interview Mr. Bharath Ramesh, Head of HPE Edge AI Software & Solutions. In this interview we discussed IoT, cloud and edge technologies, security and future opportunities.
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