Architecture


Symantec unveils AI-based protection for critical infrastructure

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Symantec's Industrial Control System Protection (ICSP) Neural is a neural network-integrated USB storage scanning station aimed at protecting critical national infrastructure (CNI). The platform, which is scheduled to be available from early 2019, is designed to prevent physical consequences of cyber attacks on operational technology (OT) by ensuring that air-gapped systems are not infected by the USB flash drives used to update them. OT is mission-critical in industries such as energy, oil and gas, manufacturing, and transportation. But according to Symantec, legacy systems are often outdated and nearly impossible to secure with traditional endpoint security, with companies typically relying on USB devices to update these systems, thereby increasing the potential for malware infection and targeted attacks. The best-known example of this is the Stuxnet worm, which used USB-borne malware to manipulate centrifuges in Iranian nuclear plants to sabotage a key part of the country's nuclear programme.


Businesses need to understand AI before putting it to work

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Artificial intelligence is a big deal for business – it's the biggest marketing buzzword this side of cryptocurrency and it's set to make a very real difference to the future of work. But what does that really look like? How will AI support employees? And what responsibilities do you have when you start applying AI to customer data? BT's Adastral Park research facility is at the forefront of the development and application of AI technologies in the UK, from using real-time network analysis to detect and protect against cyberattacks as they happen, to enabling customer service agents to anticipate the future needs of their clients based on customer behaviour trends.


Internet of Things Artificial Intelligence: The future IT News Africa – Up to date technology news, IT news, Digital news, Telecom news, Mobile news, Gadgets news, Analysis and Reports

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A world built from accessible assets that drive human convenience and interaction. This is the future that's powered by the Internet of Things (IoT) and artificial intelligence (AI), two of the planet's hottest topic trends right now for a very good reason. They are also the fuel driving digital transformation in 2019. These are the technologies revolutionising performance, process and productivity. They are also transforming industry challenges across agriculture, retail, health and the public sector and are set to continue on this path well into 2019.


Lanner Partners with Zededa to Deliver Industrial-Strength Cloud-Managed Gateway

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The joint partnership announces a secure, cloud-managed gateway solution ready for deployment in critical infrastructures, such as power substations, manufacturing, transportation, intelligent buildings, and smart cities. MISSISSAUGA, ONT. Lanner Electronics, Inc., a global leader in design and manufacturing of network appliances and industrial IoT gateways, will be demonstrating a joint solution with Zededa at the IoT Tech Expo in Santa Clara, Nov. 28-29, 2018. Zededa has developed an innovative cloud-managed software solution which provisions, administers and secures IIoT infrastructures. The joint solution of Lanner's validated white-box gateway integrated with the Zededa real-time software is developed to enable interoperability and connectivity on both hardware and software levels in industrial automation, energy and retail applications. Since 2013, Lanner has introduced a series of industrial gateway products designed for key applications, such as cyber security, edge computing, wireless connectivity and SD-WAN.


Hard Data Point And Shoot: Targeting Customers With AI Accuracy

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Marketing has not escaped the shift to a digital, data-dependent economy. Most critically, marketers can no longer rely on gut feelings (or "I think this will work") to play a dominant role in strategy. Here are just a few eye-opening statistics: Marketers' number one challenge is understanding customer interactions across all touchpoints. A Forbes survey showed that 88% of marketers use data obtained by third parties to better understand each customer; 66% use marketing data to enhance targeting offers, messages, and content; and 33% of top marketers say the right data collection and analysis technologies are most useful in getting to know customers. With more data than ever before, today's marketing teams prove their value to the rest of the company by leveraging this information -- by integrating deep-dive analysis of accurate, real-time data into marketing strategies -- to derive insights that help them finely tailor marketing efforts to customers' pains and expectations.


How a fintech startup is helping small businesses manage finances using AI, machine learning

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A 27-year-old female entrepreneur is helping the small and medium-sized businesses and its employees with modern digital banking platform through her startup called Kite. "The small and medium-size businesses up to 500-750 employees are typically facing a lot of issues such as loss of GST credit, financial mismanagement, leakages. The startup helps the small and midsize businesses with tech-based financial management," said Priyanka Kanwar, Co-Founder and CEO of Kite. The startup is an expense management platform where the businesses can control their employees' spending, track their costs, hand out rewards and others. It uses its technology packaged in smart corporate cards, giving accurate and real-time data on every transaction by any employee.


Pure Storage launches cloud data management suite for AWS in hybrid play

ZDNet

Pure Storage is launching its software on Amazon Web Services with block storage, data protection and deduplication services in the public cloud. The aim for Pure Storage is to better bridge on-premises and cloud infrastructure. The move highlights a few key trends in the enterprise space. First, hybrid architecture is becoming the new norm as companies aim to run applications in the cloud and data center interchangeably. In addition, data and storage players are positioning to handle more real-time workloads such as artificial intelligence, machine learning and analytics with solid-state storage.


New JLR technology means you won't have to stop at traffic lights again

Daily Mail

New Jaguar Land Rover technology being trialled on British roads could mean drivers never see a red light again. Using a Vehicle-to-Infrastructure (V2X) system built into the car, it connects to traffic lights and tells the driver when they're going to turn green and suggests the best speed to approach so they never have to come to a standstill. The technology, called Green Light Optimal Speed Advisory (GLOSA) will help free up traffic flow in cities, improve road safety and potentially help you to live longer, the British car maker claims. The system is already in use and being put to the test on public roads by the vehicle manufacturer. It has fitted the V2X system to one of its Jaguar F-Pace SUVs as part of a £20million collaborative research project to determine the usefulness of the start-of-the-art tech.


Pitt Researcher Uses Video Games to Unlock New Levels of AI

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A University of Pennsylvania computer scientists designs algorithms that learn decision strategies in complex and uncertain environments, and tests them in the simulated environments of Multiplayer Online Battle Arena games. The University of Pittsburgh's Daniel Jiang has developed algorithms that learn decision strategies in complex and uncertain environments, and tests them on a genre of video games called Multiplayer Online Battle Arena (MOBA). MOBAs involve players controlling one of several "hero" characters in order to destroy opponents' bases while protecting their own. A successful algorithm for training a gameplay artificial intelligence system must overcome several challenges, like real-time decision making and long decision horizons. Jiang's team designed the algorithm to evaluate 41 pieces of information and output one of 22 different actions; the most successful player used the Monte Carlo tree search method to generate data, which was fed into a neural network.


Can listening to bees tell us why they are in decline?

BBC News

Can artificial intelligence (AI) and machine learning help save the world's bees? That's the hope of scientists who are scrambling to reverse the dramatic declines in bee populations. Bees are in trouble, but we're not quite sure why. It could be the overuse of insecticides; air pollution; warming temperatures; the varroa destructor mite; or even interference from electromagnetic radiation. Or it could be a combination of all these factors.