Grey Matter Issue 70 | Winter 2016
Building on 33 years of software know how Silicon brainpower Artificial intelligence - the new frontier for software development
Ready for business How well do Apple devices stack up?
Stay safe Protect yourself against the latest security threats
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Editorial Editor:...... Matt Nicholson Technical editors:... Sean Wilson, Paul Edwards Editorial advisor:...... Julia Hopkins News editor:...... Paul Stephens Publisher:...... Andrew King Contributors:...... Tim Anderson, Simon Bisson, Mary Branscombe, Kay Ewbank, Jon Silicon brainpower Microsoft Cognitive Services Honeyball, Graham Keitch, Paul Stephens 10 20 Design and layout:...... Jason Stanley Artificial intelligence is the new frontier Microsoft bundles its AI know-how into Illustration:...... Sholto Walker for software development. a new set of APIs. Web Design:...... Jason Stanley
Advertising & Circulation Software News Marketing:...... Leanne Bevan Editor’s Intro 4 Barracuda, Flexera, Microsoft, Sophos, In February 2009, in an effort to demonstrate exactly how far we VMware and more. Tel: 01364 654100 are willing to obey a seductive voice emanating from a plastic box, Email: [email protected] the driver of a 50-foot articulated lorry wedged his vehicle so News in brief HardCopy is edited for Grey Matter three thoroughly into a hair-pin bend in the tiny Cotswold village of Syde 6 and latest competition winner. times a year by Matt Publishing. It is printed that it took five days to extricate. In the light of this and other such by Pepper Communications in Plymouth. examples, I am heartened by the news that Google, Amazon, Copyright © 2016 Grey Matter Ltd. All rights Facebook, Microsoft and IBM have announced the Partnership on Competition reserved. No part of this publication may be Artificial Intelligence to Benefit People and Society in order to look 8 Win a Linx tablet! reproduced in any form without prior consent of the copyright holder. into the ethical and societal implications of such technologies. All trademarks acknowledged. Many of these implications stem from the lack of human HardCopy is a trademark and Grey Matter a involvement in the decisions that such technologies are Ready for business registered trademark owned by Grey Matter 15 increasingly making. Driverless cars are almost upon us, and by How well do Apple devices stack up in Limited. While all reasonable attempts are a Windows environment? made to ensure accuracy, Grey Matter and most accounts orders of magnitude safer than human drivers, Matt Publishing disclaim any liability particularly in cities where they can communicate with each other whatsoever for any use of information to better understand the dangers ahead. However, on 7 May this Stay safe herein. Prices exclude VAT unless specified. 24 year a Model S Tesla in driverless mode smashed at high speed into How you can protect yourself against the latest security threats. Cover Images: Jason Stanley an 18-wheel truck and trailer, killing the ‘driver’ instantly. It looks as feelplus/Shutterstock though the car was unable to distinguish the white truck and Djem/Shutterstock Inside Data echo3005/Shutterstock trailer against the bright Florida sky behind, something that most 29 How Oracle Mobile Cloud Service can human drivers would be able to do ‘without thinking’. It is this that help you integrate mobile devices. Advertisers Index makes such accidents seem ‘inhuman’. Or there’s the customer who rings up wondering why the 2 Embarcadero Straight talking insurance premium you quoted him is twice that of his neighbour, 7 Microsoft Azure 30 Tim Anderson on why Windows Server 9 Grey Matter Cloud Services whose circumstances appear pretty much identical. You have no 2016 is significant for developers. 12 Intel Parallel Studio XE idea because you have no way of understanding how the algorithm that your company uses arrived at that decision, and 14 Parallels RAS And Another Thing 17 ISV Cloud Assure neither does anyone else. Does the customer have a right to be 32 Jon Honeyball expands on the full 18 Adobe told? In other words, does the software have to provide some sort implications of AI. 22 Bing Event of audit trail? Maybe, but in the meatime, companies are understandably reluctant to divulge their use of such things. 27 SonicWALL Short Cuts 28 Microsoft Office 365 AI is already with us and, as our cover features make clear, 34 Views from the edge. 33 GFI already capable of extraordinary feats. However it’s only too easy to 35 Intel Media Studio anthropomorphise. It is conceivable that, some time in the not too 36 Windows Server 2016 distant future, some sort of conscious awareness may prove to be the most logical way for such machines to manage and comprehend the world in which they find themselves. However that is a long way from the establishment of a conscience, Register Now! Grey Matter Limited whatever that may be, and even then it seems unlikely that an HardCopy magazine is published three times a year. Prigg Meadow, intelligence made of silicon and metal will have any understanding Don’t miss out by registering or updating your Ashburton, of emotions or feelings, or anything resembling empathy for the details at www.greymatter.com/hc/subscribe Devon, TQ13 7DF, UK strange organic creatures whose lives they will, by then, dominate. [email protected] While there is an obvious agenda to promote their shiny new services, the coming together of these companies at such an early Read HardCopy online grey matter stage does at least suggest they accept a degree of responsibility. To view read articles on the web go to HardCopy software know how Matt Nicholson, Editor, HardCopy online at www.greymatter.com/hc/hardcopy
Grey Matter • 01364 654100 • HardCopy 3 News | Read more online at www.greymatter.com/hc/news Software News Microsoft launches Windows Server 2016 as ‘cloud-ready OS’ Microsoft • www.greymatter.com/microsoft/
Microsoft has officially released application platform as its major themes. New Machines protect tenanted VMs in hosting and Windows Server 2016 with shipping features include an ultra-lighweight Nano cloud environments. In the software-defined scheduled for mid-October, alongside System Server installation option, application datacentre, new Storage Spaces Direct allows Center 2016 and Technical Preview 2 of its containers, major updates to Active Directory high availability storage pools to be created on Azure Stack private cloud platform. Microsoft and new Storage Replica and QoS capabilities. low-cost local drives, while Storage Replica describes WS2016 as a ‘cloud-ready OS’, citing Nano Servers are remotely-administered provides block-level synchronous and advanced multi-layer security, software-defined WS2016 installations without GUI or 32-bit app asynchronous replication between servers and datacentre capabilities and a cloud-ready support, but with 93 percent lower VHD (Virtual clusters, and Storage QoS allows you to apply Hard Disk) size and, crucially, 92 percent fewer Quality of Service policies to Hyper-V virtual critical security advisories than a ‘full fat’ system. disk drives. Suggested uses include running Internet WS2016 brings Azure-style flexibility to the Information Server (now in version 10 with on-premises datacentre via software-defined HTTP/2 support) and Hyper-V. WS2016 networking. Features include dynamically application containers come in either Windows configurable Virtual LANs, distributed and Server (shared kernel) or Hyper-V format, and virtualised firewalls, and automatic load there’s also a free copy of Docker for those who balancing. Like its predecessor, Windows Server prefer a third-party route. PowerShell 5.0 now 2016 will be sold in Essentials, Standard and supports user-defined classes. Datacenter editions, plus specialised academic Security upgrades include ‘Just Enough’ and OEM versions. The release sees a switch Administration, which allows specific from processor- to core-based licensing with a PowerShell tasks to be delegated to non-admin minimum of eight cores per installation, users, and Credential Guard, which isolates although Microsoft says there will be no impact Windows Server 2016 features improved, cloud-friendly secret information to prevent ‘Pass-the-Hash’ on price when compared to Windows Server application support, storage and security. attacks. Guarded fabric and Shielded Virtual 2012 R2.
Barracuda heads for the cloud with F-Series firewalls Barracuda Networks • www.greymatter.com/barracuda-networks-inc/
It’s been a busy year for Californian integration, especially with Microsoft Azure and Other new features include IPv6 VPN security vendor Barracuda Networks as Amazon’s AWS. support, high availability clusters in AWS and a the company pursues its mission to transform Barracuda F Series 7.0 is aimed at Rest API for application integration. Also the firewall from a relatively simple, port-based “customers operating dispersed network supported are a NAT information view, and SSL blocking device to a ‘distributed security environments and leveraging public cloud and VPN tunnelled web and native apps, connected solution’ that includes web and email filtering, Infrastructure-as-a-Service platforms.” It’s via Barracuda’s CudaLaunch 2.0 secure remote application profiling and network performance offered for native deployment by Azure and access provider for mobiles. optimisation. AWS, with unlimited deployments within an In late 2015 the company rebranded its Azure tenant and configuration cluster, and SMB-targeted Barracuda Firewall product line control from a single dashboard. The new as the NextGen Firewall X Series, while its version uses Barracuda’s global threat distributed-enterprise Barracuda NG line intelligence framework and new ‘DNS Sinkhole’ became the NextGen Firewall F Series, with four technology to prevent data exfiltration from new low-cost appliances in the range. March botnets, spyware and macro-enabled saw the launch of the S Series, aimed at IoT documents. It also supports connection of networks with high-volume endpoints. Now on-premises and cloud networks via multiple Barracuda has updated the F Series to version uplinks with dynamic failover, traffic balancing 7.0, with the emphasis placed on cloud and WAN optimisation.
4 Winter 2016 • Issue 70 • HardCopy InstallShield 2016 bridges the gap to Windows 10 Flexera • www.greymatter.com/flexera-software-ltd/
In September Microsoft officially Server 2016. opened the Desktop Bridge (formerly InstallShield 2016 can build both UWP Project Centennial), which allows Win 32 (AppX) and traditional Windows Installer (MSI) applications to be automatically repackaged as packages from existing InstallShield projects, allowing installations to be developed in Windows 10-compatible UWP (Universal providing an instant upgrade to multiple modules, plus new mapped MSI Table Windows Platform) apps and sold in the deployment scenarios. The same applies with relationships, which give developers insight Windows Store. The company provides a free WSA packages, which also use AppX installation into the effects of manual table editing. command-line Desktop App Converter, but a files. Flexera says its compatibility scanner saves Meanwhile custom Windows 10 Tiles make more developer-friendly solution is available in hours of investigative work by automatically applications pop up on the Windows 10 Start the shape of Flexera Software’s new InstallShield identifying compatibility issues between screen with “vibrant tiles for increased user 2016, which does the conversion automatically, applications and the Desktop Bridge/WSA engagement.” InstallShield 2016 is available in along with compatibility testing. The suite can packages. Express, Professional and Premier editions, with also create Windows Server App (WSA) Other new features include the ability to Desktop Bridge features available in packages, used with Nano Servers and Windows combine multiple UWP app packages into one, Professional and Premier.
Sophos’s Intercept X looks out for bad behaviour Sophos • www.greymatter.com/sophos/
Oxford-based anti-malware vendor recovery, Root Cause Analytics and Sophos which replaces infected Windows system files Sophos has launched Intercept X, a new Clean malware cleanser. Threat Detection with safe originals. endpoint security suite for Windows based on currently watches for 24 known malicious Although Sophos bills Intercept X as “a technology acquired through its purchase of behaviours, protecting against malware that’s completely new approach to endpoint security”, Netherlands-based SurfRight in late 2015. The not yet logged in anti-virus databases, while it does bear similarities to SurfRight’s package, which uses behavioural analysis rather CryptoGuard blocks unauthorised encryption signature-less, ‘second opinion’ HitMan Pro than signatures and file scanning, protects activity and makes hidden copies of under- product, which has been on sale since 2008. against zero-day malware, ransomware, threat files, which it can roll back after Unlike HitMan, however, Intercept X integrates unknown exploits and stealth attacks, and is intercepting ransomware attacks. Root Cause with Sophos’s Security Heartbeat system, designed to be installed alongside existing Analysis performs forensic analysis of attack sharing status and event information with other security software. sources and their infection paths, with advice Sophos products, and can be managed via the Sophos Intercept X has four main on how to protect against further attacks, while Sophos Central unified console. The package components: Signatureless Threat Detection, Sophos Clean is both a signatureless ‘second can also run alongside other vendors’ CryptoGuard for ransomware blocking and opinion’ anti-virus scanner, and a deep cleanser anti-malware systems.
VMware lays a Foundation for the hybrid cloud VMware • www.greymatter.com/vmware/
VMware made its fortune creating networking systems into a ‘natively integrated’ migration. VMware lists Amazon’s AWS, virtual environments on physical ones, stack for use on-premises in private clouds or as Microsoft Azure, IBM Cloud, Google Cloud and now it’s following a similar path with the a service from multiple public clouds. VMware Platform and its own vCloud Air among cloud, pursuing a lead role in Hybrid Cloud and says the package, which also has a new SDDC supported public clouds for the new packages, Software-Defined Data Center (SDDC) Manager deployment and lifecycle with IBM the initial partner and Oracle Cloud a technology. At its September VMworld management tool, ‘drastically simplifies’ the conspicuous absentee. Prices have yet to be set conference in Las Vegas it unveiled its Cross path to the hybrid cloud, with a claimed six to for VMware Cloud Foundation as a service, but Cloud Architecture, based on a new VMware eight times reduction in time-to-market and a VMware says they will take customers’ existing Cloud Foundation SDDC platform and 30 to 40 percent reduction in total cost of vSphere, VSAN and VSX licences into account. Cross-Cloud Services management tools, and ownership (TCO). Other announcements at VMworld designed to span private and public clouds. Still in Technical Preview at VMworld, included vCloud Availability, a new suite of VMware Cloud Foundation is a repackaging Cross-Cloud Services is an SaaS offering disaster recovery tools for vCloud Air, and an of the company’s vSphere cloud virtualisation providing tools for discovery and analytics, updated Hybrid Cloud Manager tool for platform, VSAN virtual storage and NSX virtual compliance and security and deployment and zero-downtime migration to vCloud Air.
Grey Matter • 01364 654100 • HardCopy 5 News | Read more online at www.greymatter.com/hc/news News in brief
Intel adds Python to Parallel Studio 2017 Intel has released Parallel Studio 2017, the latest edition of its Fortran/C++ Competition Winner parallel development suite for Windows, Linux and OSX. New features First prize of an AR Drone 2.0 goes include Intel’s Anaconda-based Distribution for Python 2017, support for to the winner of the issue 69 competition, Xeon E6 v4 (Broadwell) and Xeon Phi (Knights Landing) processors in all Jeremy Langford of Amphenol Thermometrics components, Lustre file system compatibility and improved support for UK. Congratulations also go to our runners-up Rob C11, C++14 and OpenMP standards. The Data Analytics Library gains Martin of RDM Technology, Graeme McAteer of Targetfour neural networks functionality, while the Math Kernel Library includes and Stephen Moon from the British Museum who each receive a LAPACK v3.6 enhancements and Performance Primitives gains image FitBit Charge wristband. processing and computer vision functions. Parallel Studio 2017 is available in Composer, Professional and Cluster editions. system is initially supporting Microsoft’s Azure customer cloud and Office 365 SaaS products, with Dynamics CRM Online due in mid 2017. Early JetBrains sharpens ReSharper with ASP.NET Core 1.0 support customers include the Ministry of Defence, Aston Martin and the UK’s Ever-agile tools developer JetBrains has released version 2016.2 of its largest NHS mental health trust. Microsoft says it’s the first global cloud ReSharper code-polishing Visual Studio extension, with initial support for provider to offer a UK-only cloud service. Microsoft’s cross-platform ASP.NET Core heading the feature list. Also new are TypeScript 2.0 support, assembly dependency diagrams, a Process Facebook pays big bug bounties as breaches reach epidemic levels Explorer, CSS custom properties support and JSON code completion. Want to earn $16,000? That’s what Indian researcher Arun Sureshkumar did Editing assistance is improved with cross-file text searches and structural when he warned Facebook of a vulnerability in its Business Manager tool navigation within statement elements, and there are also more C# typing which allowed hackers to create fake accounts then edit the setup assistants, quick-fixes and context actions. ASP.NET Core support doesn’t parameters to give them control of other peoples’ pages. Arun told stretch to running .NET Core unit tests yet, but JetBrains says that will be securityweek.com that this wasn’t his first payout from Facebook’s bug in the next release. bounty program, either – he also received $10,000 for finding an earlier takeover vulnerability. Facebook has reportedly paid out more than $4.3 Kony adds Objects to MobileFabric back-end million since the program launched in 2011. Texan mobility platform vendors Kony has released MobileFabric 7, a new Meanwhile infosecurity-magazine.com reports that over 4.8 billion version of its combined Mobile Application Development Platform private data records were stolen in the first half of 2016, with the UK (MADP) and Mobile Backend as a Service (MBaaS) offering. According to second in the table behind the USA – just like the Olympics. the company, MobileFabric 7’s new Microservices and Object Services Technology provide modular app assembly capabilities which allow • Chip-maker Intel has bought Movidius, a builder of low-power System developers to achieve “unprecedented speed and cost saving” through on a Chip (SoC) units specialising in computer vision. The move will boost reusability, standardised architecture and the flexibility to move between Intel’s RealSense technology in applications such as drones and driverless internal IT and third-party vendors. Research firm Gartner evidently cars. Movidius previously collaborated on Google’s Project Tango agrees – it named Kony as a ‘Leader’ in its June 2016 MDAP Magic augmented reality venture, and is based in California, Ireland and Romania.
• Microsoft has open-sourced the algorithm that drives its Bing search engine. The BitFunnel full-text search system, described as “a probabilistic algorithm that identifies and ranks documents according to queries involving keywords, phrases and mathematical expressions”, is now on GitHub, along with Bing’s WorkBench text editor and nativeJIT, a C++ routine which transforms C data structures into optimised assembly code.
• Microsoft has released Visual Studio “15” Preview 4. Updates include a new exception helper, preliminary support for C++ 17, TypeScript 2.0 support, XAML diagnostics, improved Apache Cordova compatibility, new Universal Windows Platform (UWP) tools and support for “the majority” of C# 7.0 features. There’s also support for the latest features in Azure SQL Quadrant. Database and SQL Server 2016.
Microsoft opens UK-only cloud • 93 percent of large European businesses have suffered a data breach in Microsoft has opened its UK-only cloud infrastructure, first announced by the past five years, according to a survey commissioned by Lloyds CEO Satya Nadella late last year. The service is hosted at multiple locations insurance market. Of the 346 senior decision makers polled at €250m-plus around the country, and guarantees that all data remains physically in the companies, 57 percent said they knew “little” or “nothing” about the EU UK, enabling users to meet compliance and policy requirements. The General Data Protection Regulation that’s due for implementation in 2018.
6 Winter 2016 • Issue 70 • HardCopy
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8 Winter 2016 • Issue 70 • HardCopy
Business Silicon brainpower Artificial Intelligence is the new frontier for software development. Simon Bisson checks out the state of the art.
If there’s one lesson to be learnt from Windows XP Tablet Edition far more accurately. for different tasks. Some, like machine learning, SIMON the last few years, it’s that we’re in the What changed? The answer was simple: build on familiar rules-based approaches and BISSON early stages of a new industrial revolution, one computers were more powerful, and we had statistical analysis, while others use neural where we’ll finally be able to deliver on many of much more data we could use to train those networks to find patterns in an almost intuitive Simon is a freelance IT writer and technology the promises of artificial intelligence (AI). But algorithms. That was 13 years ago, and today’s fashion. consultant who has this isn’t science fictional AI, where we’re computer systems are even more powerful, The key to much modern AI is the worked on large scale building robots that will end up replacing us; with the resources of the cloud to power a new combination of powerful computer hardware Web architectures, mobile Web projects instead it’s much more mundane, a world generation of machine learning algorithms. with large amounts of data. Today’s deep and XML solutions where highly-focused machines handle Similarly, we’ve been able to take advantage of learning systems take a statistical approach to for clients in both complex and repetitive tasks, or fill in for us the arrays of computing engines in GPUs to working with data, taking advantage of cloud the private and public sector. where they can save time and effort. build massively parallel neural network systems. scale to process and build knowledge maps. It’s Yes, that’s going to mean changes in what We’ve also got access to even more data, along an approach that works well with natural simonb@ jobs are available, but it’s also going to mean with the tools and storage needed to use it to language processing, and is being used to hardcopymag.com more time for creative work, for exploring new train our new AI systems. handle machine translation in near real time. ideas and trying out new things. Some aspects, And then there’s the lessons we’ve learned One intriguing result is that deep learning has like self-driving cars, are going to change the building hyper-scale search engines. The been able to find links between words in way we live, while others, like prediction Googles and Bings of the world aren’t just huge different languages, for example linking ‘man’ engines, will make the world less risky. databases of content and links; they’re massive and ‘woman’ to ‘king’ and ‘queen’ without being Just a few years ago, AI seemed to be one machine learning systems that aim to given direct definitions. of those things, like nuclear fusion, that was understand document relevance so they can Neural networks take a different approach, always thirty years away. In reality, of course, give you the best answers to your search training networks to respond to specific inputs, each new breakthrough rapidly became part of queries, by using your context (what you’re and using the outputs as a basis of a control the day-to-day fabric of computing. Apple’s doing, where you are and so forth) to refine system. Newer techniques, such as deep Newton used machine learning-based their output. feedforward networks, take advantage of handwriting recognition in the mid-1990s. It convolutional neural networks to model wasn’t successful, but just a few years later the Underlying technologies non-linear relationships, and provide much of same underlying tools were powering the Modern AI is not just one technology: it’s a the basis of recent improvements in image handwriting engine used by Microsoft’s range of different approaches that are suitable recognition. They are also being used to
10 Winter 2016 • Issue 70 • HardCopy Business
with the aim of gaining lower cost and lower Low level AI risk convoys of trucks. Using prizes such as the More complex AI problems can be addressed using the deep learning and neural networking DARPA Grand Challenge, self-driving vehicles algorithms that are coming out of research labs at Microsoft, Google, and Facebook. These quickly moved from rough desert roads to tools aren’t for the faint of heart: they’re complex engines that need a lot of compute power, simulated streets and on to the open road. You either in your own high performance computing cluster or in the cloud. don’t need to be in a fully autonomous vehicle Microsoft Research has been working on many approaches to AI. One is the to take advantage of machine learning; many Computational Network Toolkit (CNTK) which is designed to give you a set of tools for building driver-assist systems, like automatic braking, various neural networks using a series of training tools, running on both CPUs and GPUs. You take advantage of neural networks – enough can download a VM or a container ready to run, or work with the source code using Github. A for NVIDIA to deliver GPU-based chipsets series of prebuilt solutions can help you get started, but be warned, this is at heart a research intended for use in car sensor suites. tool and gives you extremely low level access the neural networks you’re building. The results of this set of changes are Google’s Tensor Flow takes a different approach, with a data flow graph connecting significant: it’s become cheaper and cheaper to mathematical operations. Nodes can run on CPU and GPUs, using Python to link existing add AI to applications and devices thanks to operators and C++ to add new data operators. The result is flexible and powerful, and models widely available algorithms, relatively cheap can move from development laptops to hyper-scale cloud systems and GPU arrays without off-the-shelf hardware such as NVIDIA’s needing any code changes. GPU-derived chipsets, and publicly accessible Tools like CNTK and Tensor Flow have quickly become important resources for AI datasets that can help train machine learning researchers, overshadowing more specialised tooling like Facebook’s Lua-based Torch and the systems. academic CAFFE deep learning framework. One area where AI is key is in the development of chatbots: conversational examine complex pattern spaces, an approach low probability of the card being stolen (your interfaces to applications and services. What’s recently used by Google DeepMind’s AlphaGo first transaction after you get off a plane) or most important here is understanding just what to beat a human Go player for the first time. blocking a card when there’s a sudden unusual a user wants; a requirement that means a bot Other neural network approaches have been purchase (such as buying an airline ticket will need some form of natural language used to improve speech recognition. between two suspicious locations). processing coupled with some way of Combining different techniques can result Much of the recent AI hype has been delivering an appropriate response. That’s in major leaps forward. Tying together a neural around self-driving vehicles. Here developers where AI comes in, offering deep-learning network-powered speech recognition system have taken advantage of several advances in powered natural language tooling, followed by with a deep learning-driven translator gives you machine learning, using image recognition to machine learning decision trees to deliver the something like Microsoft’s Skype Translator, locate a car on a map and on a road in relation result. A demo at Microsoft’s BUILD 2016 event which takes speech in one language and gives to the rest of the cars around it. Prediction showed an AI-powered chatbot parsing pizza you near-real time translated subtitles at both algorithms are also used to determine how orders, and being trained to understand slang ends of the conversation. other vehicles are going to behave, while other and colloquialisms in tandem with a human call tools interpret radar signals to give a 3D view of centre operative. Using modern AI the space around a vehicle which can be used The chatbot future is one where low-skilled Much of the AI around at the moment is as a framework for the rest of the car’s sensor call centre tasks are handled by machines, mundane. Predictive text used to be built up suite. It’s a set of complex problems that leaving humans handling exceptions and from Markov chains of likely words, held in a couldn’t be handled without machine learning, escalations. That’s one part of tomorrow’s local database. Now, however, it’s a machine coupled with the years of training and research AI-powered world, where humans aren’t learning service. Microsoft-owned Swiftkey that have gone into building autonomous directly replaced by machines so much as recently switched its Android swipe keyboard to driving control systems. having the machine handle the boring parts of one that uses a neural net to predict the next Like much deep AI work, the sponsors of their jobs. That said it is a future we’re going to word – or even the next phrase – you’re likely to early self-driving car research were the military, have to find our way into carefully, with an use, learning from both your own social media postings, and from a large corpus of data collected from users all over the world. Similarly, machine learning systems sit at the heart of credit card fraud detection systems, aiming to identify patterns of unusual usage. Perhaps a transaction is impossible, based on distance, or perhaps there’s a pattern of small transactions that indicate someone is trying to see if a card has been reported compromised and blocked. Using context from current transactions, and patterns that are linked to stolen accounts, machine learning systems can quickly respond in a predefined manner – sending messages to registered phone numbers to get additional authentication where there’s a The world as seen through the sensors of a Google self-driving car.
Grey Matter • 01364 654100 • HardCopy 11 ACCELERATE CREATE FASTER CODE—FASTER. GET THE NEW DATA ANALYSIS TOOLS. Intel® Parallel Studio XE
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