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The 22-Year Old Marcus Hutchins Who “Killed” WannaCry Ransomware Is Donating $10,000 To Charity

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Marcus Hutchins, the young cybersecurity expert, who managed to halt the spread of the WannaCry ransomware’s first wave last week says he plans to donate  monetary reward offered to him to charity. Hutchins, was responsible for halting the inexorable march of WannaCry on Friday, when he followed clues from the malware’s code and registered a domain name the attackers were using as a kill switch.

Ever since, his identity has been outed by British media and has been inundated with communications from the media, the cybersecurity world and more. He’s now even been offered a $10,000 by HackerOne, a platform for cybersecurity professionals to report potential security flaws in exchange for bounty rewards. However, Hutchins says he doesn’t want to take the money, and no instead plans to donate the amount to charity. “I plan on holding a vote to decide which charities will get the majority of the money,” he wrote on Twitter.

Google Moves From Mobile-First To AI-First Strategy

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Search giant, Google, has announced a broad strategy which is going to be driven by machine learning  in its developer conference. Simply, the company is moving from  a “mobile-first” to an “AI-first” strategy, said chief executive Sundar Pichai in a keynote at Google IO. “In an AI-first world, we are rethinking all our products,” he said, announcing a new group, Google.ai, which will develop tools and applications to make machine learning more widely available.

Pichai also announced Google’s second-generation TensorFlow Processing Unit (TPU) as key to its future data center architecture. “We are rethinking our computing architecture again…We want Google Cloud to be the best cloud for machine learning,” he said, echoing hopes of rivals such as Amazon, Facebook and Baidu.

Demos of new features in Google’s translation and photo services were among the most impressive efforts using machine learning. “All Google came from understanding text and Web pages, so the fact we can understand speech and images [with neural networks] has profound implications for us,” he said.

Separately, Google previewed the next version of Android as well as a new variant, Android Go, for entry-level smartphones with as little as 512 Mbytes storage. It also hinted at plans for an OEM program for Google Home that will spawn third-party products by the end of the year that compete with rival Amazon’s Echo and Dot.

The move comes at a time when all big data centers are reinventing themselves for a world in which neural networks are delivering new capabilities to recognize speech, images and more.

Apple was out early with Siri, but Amazon has the most traction with Alexa. Google seems to be stepping on the gas with its Assistant and Home. Microsoft’s Cortana is among other competitors along with options emerging from China’s big three data centers.

Google Makes A Really Fast Microprocessor, RIP Core Competency Concept

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Nonsense to the concept of core competency. Anyone can do anything because the cost of doing everything is lower. That is one of the problems of companies that have no platforms. That is why IBM is struggling because it has no platform. Everything it does can be easily done by its clients with marginal pains. As technology costs drop, there is no need to outsource. You can simply build in-house.

Google, Facebook and host of many companies are doing so. Facebook makes some of its servers, using largely open source solutions. Google has entered into the chip business.

Google has designed and deployed a second generation of its TensorFlow Processor Unit (TPU) and is giving access to the machine-learning ASIC as a cloud service for commercial customers and researchers. A server with four of the so-called Cloud TPUs delivers 180 TFlops that will be used both for training and inference tasks.

The effort aims to harness rising interest in machine learning to drive use of Google’s cloud services. It also aims to rally more users around its open-source TensorFlow framework, the only software interface that the new chip supports.

The Cloud TPU supports floating-point math, which Google encourages for both training and inference jobs to simplify deployment. The first-gen ASIC used quantized integer math and was focused solely on inference jobs.

What is it that Google cannot do?

Top 30 Africa’s Facebook Messenger Chatbots

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Facebook Messenger is an instant messaging service and software application. It is integrated with Facebook’s web-based chat feature. Facebook Messenger lets Facebook users send messages to each other. It was launched as a standalone app on the Android and iOS operating systems in August 2011 and the functionality was then removed from the main Facebook app in April 2014. Facebook has also launched Facebook Messenger Lite, a basic app with a limited feature set for areas with low-speed Internet or old mobile devices.

The following 30 bots are the top ones from Sub-Saharan Africa.

Win $100,000 From Cisco On Digitization and the Internet of Things (IoT)

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Things like wells, cars, watches, refrigerators, and more will be connected to the Internet for the first time so that they can transmit and receive information.

Digitization is about connecting people and things to the Internet so that the information those connections provide can be used to improve processes and decision making.

With digitization and the Internet of Things (IoT), good ideas can make a difference more quickly than ever before by driving economic development and helping people solve some of our most pressing social and environmental challenges.

Who Should Enter?

This challenge is open to students or recent alumni from any college or university. Areas of impact could include, but are not limited to:

  • local industry/economic development
  • critical human needs (food, water, shelter, and disaster relief)
  • healthcare
  • economic empowerment/financial inclusion
  • education
  • environment
  • connectivity

Apply – Applications Close May 30 at 5 PM PT