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ХАКЕРЫ ВЗЛОМАЛИ ОБЛАКО TESLA ДЛЯ МАЙНИНГА КРИПТОВАЛЮТ. НОВЫЙ ФОРК LITECOIN CASH. CryptoMost №41
 
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Наш канал в Telegram - https://t.me/cryptomosttv 0:15 - Анонс новостей 0:43 – Форк Litecoin 1:16 – Обзор рынка 2:18 – Telegram ICO 3:00 – Виталик Бутерин против машин 3:44 - ошибка на бирже Zaif 4:30 - криптовалюта Венесуэлы 5:15 – Bitcoin Private 6:17 - обновление Ripple ☝ CryptoMost №40 - https://youtu.be/mm8aOOsJC_M ☝ CryptoMost №39 - https://youtu.be/XcgTQNRKym4 ------------------------------------------------------------------ ХАКЕРЫ ВЗЛОМАЛИ ОБЛАКО TESLA ДЛЯ МАЙНИНГА КРИПТОВАЛЮТ. CryptoMost №41 ------------------------------------------------------------------ Не пропустите дайджест новостей за 22 февраля. Расскажем о старте второго раунда предпродаж криптовалюты Telegram, о продаже биткоинов на $20 трлн, а Виталик Бутерин предотвращает восстание машин ------------------------------------------------------------------ После недавнего форка Litecoin — «LitecoinCash», его разработчики решили выйти в народ и дать ответы на главные вопросы. Мы стараемся придерживаться первоначального кода, чтобы быть в курсе всех происходящих событий и со временем добавить разные интересные штучки, которые уже практикуются в биткоине.. ------------------------------------------------------------------- Значение транзакционных комиссий в сети биткоина 21 февраля достигло шестимесячного минимума и составило $0,79. Сегодня же все крупные цифровые валюты находятся в красной зоне, это произошло в ночное время после мощной распродажи, отскока на европейских торгах и еще одного раунда потерь на американском рынке ------------------------------------------------------------------------------ Некоммерческая организация Machine Intelligence Research Institute (MIRI), изучающая потенциальные опасности при создании искусственного интеллекта, опубликовала данные о собранных в декабре прошлого года пожертвованиях. Как оказалось, 66% средств были получены в криптовалюте. ------------------------------------------------------------------- #bitcoin #ico #cryptocurrency #ethereum #ripple #mining #криптомост #ripple #майнинг #биткоин #poloniex #exmo #binance #bitrex #bitfinex #litecoin #bitcoincash #cardano #stellar #tron #cryptomost #btc #money ✔ Подписывайтесь на наш канал: https://www.youtube.com/c/CryptoMost ✔ Мы в Facebook: https://www.facebook.com/cryptomost/ ✔ Мы в Twitter: https://twitter.com/Crypto_Most ✔ Наш канал в Telegram https://t.me/cryptomosttv
Views: 2807 Crypto Most
Cloud Mining  🔴   PAYMENT MODE AUTOMATIC  daily    Bitcoin, Ethereum, Monero, Dash
 
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Registration on the website https://goo.gl/aZ7oo5 The society for Crypto Mining was established in 2013, nine programmers, who explored cryptomancer, especially Bitcoin and Litecoin. But now there are so many different cryptocurrencies that ti can get through sovremennoy graphics card. The society for Crypto Mining we decided to join other active Crypto-dobytchikov from around the world to create a new General Fund that would be able to get all the new cryptocurrencies. The General Fund combines dobytchikov to finding solutions. In 2016, there were more than 1,000 partners around the world from 37 different countries. They had 900 graphics card: GeForce GTX Titan, NVIDIA Quadro FX, PNY Radeon RX 480, AMD Radeon HD and many previous generations of graphics cards: X11, X13, X15, Crypto - Night, Scrypt-jane, SHA-3 (Keccak), Quark. Today it is possible to become a member of the Crypto-dobytchikov and get profit every day using our web site cryptomining.io. Each participant receives a capacity of 0.1 Mh/s for free for understanding the process of data mining. You will get profit every day, and you can use the feature to get money using a Bitcoin wallet automatically. The anonymity of participants is guaranteed.
Ep. #464- Dubai, City Of The Future: From Imagination To Reality (Ethereal Summit 2017)
 
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Views: 1035 Crypt0
Cloud OnAir: Ninety nine problems but GPU ain't one
 
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Cloud-based hardware accelerators, like GPUs, are a great choice for computationally demanding workloads such as machine learning and high-performance computing (HPC). We strive to provide the widest selection of popular accelerators on Google Cloud to meet customer needs of flexibility and cost. To that end, we’re excited to announce that NVIDIA Tesla V100 GPUs are now publicly available in beta on Google Compute Engine and Kubernetes Engine, and that NVIDIA Tesla P100 GPUs are now generally available. This webinar will provide an overview of the benefits of GPUs on Google Cloud and how you can make the most of GPU infrastructure on Google Cloud.
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Views: 288 crypto
Stock Market Analysis January 27th 2015 BEARS GROWL!!  Apple Google Gold Tesla
 
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Stocktwits - MaximusAnalysis http://stocktwits.com/MaximusAnalysis Where you can see additional stock charts posted!!! Twitter - @MaximusAnalysis These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown
Views: 232 Maximus Analysis
Genesis Mining Upgrade - Crypto Gains are Awesome
 
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Views: 316 David Allen
Tensorflow XLA JIT AOT Compiling Nvidia GPU Half Precision FP16, INT8 TensorRT Spark JSON Parsing
 
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https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/223666658/ http://www.slideshare.net/cfregly/advanced-spark-and-tensorflow-meetup-20170506-reduced-precision-fp16-int8-inference-on-convolutional-neural-networks-with-tensorrt-and-nvidia-pascal-from-chris-gottbrath-nvidia Talk 0: Meetup and Technology Updates (Chris Fregly from PipelineIO) Meetup Metrics • 6,400 Meetup Members!! Thank You to Our New Sponsor, GoDaddy!! PipelineIO Community Edition • Hits 1,300+ GitHub Stars! • 7,500+ DockerHub Downloads!! • Global Reach in 50+ Countries on (Almost) Every Continent • PipelineIO CLI • Scikit-Learn Model Serving (joins Spark, TensorFlow, PMML) • Latest Spark and TensorFlow Versions (All Optimizations) • Full GPU Support on both AWS and Google Cloud AWS: https://github.com/fluxcapacitor/pipeline/wiki/AWS-GPU-Tensorflow-Docker GCP: https://github.com/fluxcapacitor/pipeline/wiki/GCP-GPU-Tensorflow-Docker New PipelineIO **Premium Edition** Now Available!! Contact: [email protected] • 24x7 Global, On-Site Support • Premium Training Included • Spark + Tensorflow on GPUs • Cloud + On-Premise Hosting • Hybrid-Cloud High Availability • Hybrid-Cloud Cost Optimizer • Autoscaling + Spot Pricing • Continuous Model Training • Continuous Model Deploys • Canary + Blue/Green Deploys • Model A/B + Bandit Testing • Model Server Circuit Breakers • End-to-End Pipeline Monitoring • Real-time Metrics Dashboards Upcoming PipelineIO Workshop (20% Off) RSVP Here: https://pipelineio-distributed-tensorflow-ai-gpu-workshop.eventbrite.com?discount=ADVANCEDSPARK20 • All GPU-based!!! • Distributed TensorFlow AI Model Training and Serving • Lots of Tensorboard Visualizations • Heavy Emphasis on Post-Training Graph Optimizations • A Bit of Spark and Scikit-Learn ML Model Training and Serving • A Bit of CUDA Programming -- Why Not, Right?! O'Reilly Online Training was a Huge Success: High Performance Tensorflow in Production: Develop hands-on experience optimizing and deploying TensorFlow Models Talk 1: Deep Dive into Spark SQL's JsonPath Evaluator, Jackson Streaming, Scala Parser Combinators (Nathan Howell, Architect @ GoDaddy's Global Platform Team, Spark Contributor, Tensorflow Contributor) We’ll explore how JsonPath expressions are parsed and evaluated one token at a time with Spark’s smallest interpreter. Learn about parser combinators in Scala, Jackson Streaming, and how compatibility with Hive's adhoc implementation was retained. Speaker Bio Nathan Howell is an architect in GoDaddy’s Global Platform team. He’s been contributing to Spark since 2014 and is an avid Tensorflow-user. Prior to joining GoDaddy he spent 15 years toiling away on large distributed machine learning systems at Microsoft, eBay and a few failed startups. Talk 2: Reduced Precision (FP16, INT8) Inference on Convolutional Neural Networks with TensorRT and NVIDIA Pascal (Chris Gottbrath, Nvidia) NVIDIA’s Pascal GPUs provide developers a platform for both training and deploying neural networks. In deployment GPUs allow lower latencies or servicing large inference workloads with a smaller set of accelerated nodes. One advanced technique to optimize throughput is to leverage the Pascal GPU family’s reduced precision instructions. I’ll show how you can start with a network trained in FP32 and deploy that same network with 16 bit or even 8 bit weights and activations using TensorRT. I’ll talk in some detail about the mechanics of converting a neural network and what kinds of performance and accuracy we are seeing on image net style networks. I’ll end with a quick overview of how developers can deploy these DL networks as micro services using the GPU REST Engine. Talk 3: High-Performance Tensorflow Serving across Hybrid Cloud and On-Premise + Request Batching + Model Post-Processing Optimizations (Chris Fregly from PipelineIO) In this completely demo-based talk, Chris will demonstrate various techniques to post-process and optimize trained Tensorflow AI models to reduce deployment size and increase prediction performance. First, we'll use various techniques such as 8-bit quantization, weight-rounding, and batch-normalization folding, we will simplify the path of forward propagation and prediction. Last, we'll dive deep into Google's Tensorflow Graph Transform Tool to build custom model optimization functions. Speaker Bio Chris Fregly is a Research Engineer at PipelineIO - a Machine Learning and Artificial Intelligence Startup in San Francisco. Chris is an Apache Spark Contributor, Netflix Open Source Committer, Founder of the Global Advanced Spark and TensorFlow Meetup, and Author of the O'Reilly Training and Video Series, "High Performance TensorFlow in Production" Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member of the IBM Spark Technology Center in San Francisco.
Views: 1159 PipelineAI
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How Much Do We Earn Mining Litecoin Now! Antminer L3+ (Bitmain LTC Miner)
 
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In this video we show Litecoin Mining Profitability, as of recording the video price was 280USD as of writing the description of the video, the price went up to 340$. Crazy Cryptosphere :). Complete review and testing of the new Antimer L3+ using Script algorithem Antminer L3+ on Amazon - EVGA 1000W power supply on Amazon - EVGA 1600W. How much money can you make with Litecoin miner: Antminer L3 Get the best deals on coin miners at minersdeals.com AvalonMiner741 8TH/s Antminer S9 14 TH/s Antminer L3+ 504MH/s Antminer. 03.10.2017 Ho To mine Litecoin | Review L3+ miner | Litecoin mining tutorial!!! **Our online store - mineshop.eu BITMAIN antminer L3+ available now - Please watch: "ProfitTrailer - New Crypto Trading Bot - Best Auto Tr
Views: 47 jack bonk