Étiquette : cloud (Page 1 of 2)

Google AI Blog: Good News About the Carbon Footprint of Machine Learning Training

“We identified four best practices that reduce energy and carbon emissions significantly — we call these the “4Ms” — all of which are being used at Google today and are available to anyone using Google Cloud services.

  • Model. Selecting efficient ML model architectures, such as sparse models, can advance ML quality while reducing computation by 3x–10x.
  • Machine. Using processors and systems optimized for ML training, versus general-purpose processors, can improve performance and energy efficiency by 2x–5x. Mechanization. Computing in the Cloud rather than on premise reduces energy usage and therefore emissions by 1.4x–2x. Cloud-based data centers are new, custom-designed warehouses equipped for energy efficiency for 50,000 servers, resulting in very good power usage effectiveness (PUE). On-premise data centers are often older and smaller and thus cannot amortize the cost of new energy-efficient cooling and power distribution systems.
  • Mechanization. Computing in the Cloud rather than on premise reduces energy usage and therefore emissions by 1.4x–2x. Cloud-based data centers are new, custom-designed warehouses equipped for energy efficiency for 50,000 servers, resulting in very good power usage effectiveness (PUE). On-premise data centers are often older and smaller and thus cannot amortize the cost of new energy-efficient cooling and power distribution systems.
  • Map Optimization. Moreover, the cloud lets customers pick the location with the cleanest energy, further reducing the gross carbon footprint by 5x–10x. While one might worry that map optimization could lead to the greenest locations quickly reaching maximum capacity, user demand for efficient data centers will result in continued advancement in green data center design and deployment.

These four practices together can reduce energy by 100x and emissions by 1000x.”

Source : Google AI Blog: Good News About the Carbon Footprint of Machine Learning Training

“The Mandiant brand is synonymous with unmatched insights for organizations seeking to keep themselves secure in a constantly changing environment,” said Thomas Kurian, CEO, Google Cloud. “This is an opportunity to deliver an end-to-end security operations suite and extend one of the best consulting organizations in the world. Together we can make a profound impact in securing the cloud, accelerating the adoption of cloud computing, and ultimately make the world safer.”

Source : Google to Acquire Mandiant | Mandiant

Image

“Google this evening began alerting Takeout users about the “technical issue.” From November 21-25, 2019, those that requested backups could have had videos in Google Photos “incorrectly exported to unrelated users’ archives.” In requesting a backup, some of your videos — but not pictures — might be visible to random users that were also downloading their data through Google Takeout.”

Source : Google Photos video backups sent to strangers last year – 9to5Google

“Python code to submit rotated images to the Cloud Vision API + R code for visualizing it. This repository was used to create this animation.”

Source : GitHub – minimaxir/optillusion-animation: Python code to submit rotated images to the Cloud Vision API + R code for visualizing it

“Le groupe vient de signer, discrètement, un accord avec Huawei qui s’occupera désormais du cloud des clients français de l’opérateur. Les services secrets, qui notaient la proximité entre la firme et Pékin, s’étranglent : les données des clients iront directement sur les serveurs chinois. L’opérateur nuance : cela ne concerne pas les entreprises, et, toujours selon le Canard, c’est à cause de Free, « si on veut rester compétitifs sans licencier, il faut bien qu’on noue des alliances avec les acteurs les moins chers du marché » se plaignait un cadre de l’opérateur.”

Source : Orange et Huawei : une amitié à géographie variable – Cyberguerre

Red Hat & IBM

“Research shows that 80 percent of business workloads have yet to move to the cloud, held back by the proprietary nature of today’s cloud market. This prevents portability of data and applications across multiple clouds, data security in a multi-cloud environment and consistent cloud management. IBM and Red Hat will be strongly positioned to address this issue and accelerate hybrid multi-cloud adoption. Together, they will help clients create cloud-native business applications faster, drive greater portability and security of data and applications across multiple public and private clouds, all with consistent cloud management.”

Source : IBM to Acquire Red Hat, Completely Changing The Cloud Landscape and Becoming World’s #1 Hybrid Cloud Provider

Potential Data Sources

“Car makers are collecting massive amounts of data from the latest cars on the road. Now, they’re figuring out how to make money off it. With millions of cars rolling off dealer lots with built-in connectivity, auto companies are gaining access to unprecedented amounts of real-time data that allow them to track everything from where a car is located to how hard it is braking and whether or not the windshield wipers are on.
The data is generated by the car’s onboard sensors and computers, and then stored by the auto maker in cloud-based servers. Some new cars have as many as 100 built-in processors that generate data”.

Source : What Your Car Knows About You – WSJ

“Built by creative agency Redpepper, There’s Waldo zeroes in and finds Waldo with a sniper-like accuracy. The metal robotic arm is a Raspberry Pi-controlled uArm Swift Pro which is equipped with a Vision Camera Kit that allows for facial recognition. The camera takes a photo of the page, which then uses OpenCV to find the possible Waldo faces in the photo. The faces are then sent to be analyzed by Google’s AutoML Vision service, which has been trained on photos of Waldo. If the robot determines a match with 95 percent confidence or higher, it’ll point to all the Waldos it can find on the page”.

Source : This robot uses AI to find Waldo, thereby ruining Where’s Waldo – The Verge

Microsoft ouvre ses data centers en France pour renforcer son offre Cloud sur le territoire

«Microsoft officialise aujourd’hui l’ouverture de ses data centers en France, trois en région parisienne et un dans la région marseillaise, en présence notamment de la Centrale d’Achat de l’Informatique Hospitalière – CAIH ainsi que du Conseil Départemental du Val d’Oise qui figurent parmi les premiers clients de ces data centers. Microsoft réaffirme ainsi son engagement vis-à-vis de l’écosystème numérique français en proposant aux entreprises comme aux organisations qui le souhaitent de bénéficier des services Azure et Office 365 depuis la France

Source : Microsoft ouvre ses data centers en France pour renforcer son offre Cloud sur le territoire – Hub Presse

Que signifie « assumer pleinement la responsabilité » d’une telle erreur ?

« Plus de 25 terabytes de données sensibles (adresse, orientation politique…) concernant 198 millions de citoyens américains étaient accessibles sur un serveur en ligne non sécurisé. En cause : une société d’analyse de données recrutée par le Parti républicain pendant la campagne présidentielle pour mieux cibler les électeurs potentiels de Donald Trump. […] Deep Root a reconnu son erreur et sécurisé les fichiers :   “Nous assumons pleinement la responsabilité de cette situation”. »

Source : Les États-Unis subissent la plus grosse fuite de données d’électeurs de l’histoire

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