Your Money or Your Life Files

“Fueled largely by the emergence of the anonymous online currency Bitcoin, these shakedowns are blurring the lines between online and o¬ine fraud, and giving novice computer users a crash course in modern-day cybercrime," said Krebs. Symantec reported in their August 2014 Intelligence report that crypto-style ransomware has seen a 700 percent-plus increase. These  le-encrypting versions of ransomware began the year comprising 1.2 percent of all ransomware detections, but made up 31 percent at the end of August. One of the key methods cybercriminals are using is ransomware, most famously the Cryptolocker malware, and its numerous variants, which encrypts the  les on a user’s computer and demands the user pay a ransom, usually in Bitcoins, in order to receive the key to decrypt the  les. But Cryptolocker is just one approach that criminals are taking to demand ransom, and the techniques are evolving on a daily basis.

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OTHER WHITEPAPERS
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Towards the engineering of trustworthy AI applications for critical systems

whitePaper | October 26, 2022

An accident that will leave its mark. Yesterday morning, Mrs. D., an employee of the Pharma4.0 factory in Valenciennes, had her right wrist broken by an InCobot handling robot during an ordinary operation that until now had never caused any problems. In this factory, the operation called “pick and place” of cough syrup bottles is performed jointly by human operators and robotic arms in the same work area, and this on many stations.

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Why Automation and AI Will Define the Future World of Work

whitePaper | June 16, 2022

As companies continue their digital transformation journey, it’s clear that automation and artificial intelligence (AI) are now a competitive imperative. Companies can no longer ignore the gains intelligent automation solutions deliver. Such solutions free up employees from repetitive tasks, making them available for more valuable work. Automation and AI tools also enable companies to harness the value of their own data for competitive advantage while automating its processing.

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Artificial intelligence across industries

whitePaper | September 12, 2022

Artificial intelligence is currently attracting considerable interest and attention from industry, researchers, governments as well as investors, who are pouring record amounts of money into the development of new machine learning technologies and applications.

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Enabling Agility and Flexibility in Modern Application Development with MongoDB on Google Cloud

whitePaper | August 30, 2022

Traditional database management systems have become more essential than ever, as data volume, velocity, and variety all increase at breakneck speed. But the harsh truth is that legacy database management systems were never designed for a digital-first business climate shaped by such factors as cloud computing, pervasive mobility, microservices, new data sources, and cloud-native application development.

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Machine Learning on Arm Cortex-M Microcontrollers

whitePaper | January 20, 2022

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing neural network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. To enable that, we present CMSIS-NN, an open-source library of optimized software kernels that maximize the NN performance on Cortex-M cores with minimal memory footprint overhead. We further present methods for NN architecture exploration, using image classification on CIFAR-10 dataset as an example, to develop models that fit on such constrained devices.

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AI Act: Risk Classification of AI Systems from a Practical Perspective

whitePaper | March 22, 2023

Artificial intelligence is increasingly becoming a part of our everyday lives, whether at home, in industry or in the public sector. The technology poses risks, but also opens up new opportunities. This presents the institutions in Brussels with the challenge of finding a balance between innovation and regulation for AI in the EU.

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