Atlas 900 stood out with its world-leading AI computing power, ultimate heat dissipation system, and best-in-class cluster network. Atlas 900 accelerates global basic AI research and quickly brings AI applications to industries to advance the AI era with unparalleled AI computing power. Innovative technology has propelled the mobile industry far beyond the wildest expectations of early tech pioneers. GSMA awards the GLOMO Award – Tech of the Future Award to recognize technology that is ahead of its time and reshapes the world. Atlas 900 is the world's fastest AI training cluster.
Wild Sumatran rhinos were once a common sight in northern Borneo, gamboling through the rainforests, but that ended last month when the last of their number died in a cage. Their habitat was eroded and Malaysia's rhinos are officially extinct. The TECH4ALLL programme exists to see how tech and AI can save the homes of creatures like the Sumatran rhinos, and build opportunities for the humans who live alongside them. "We want to protect vulnerable groups and make ordinary people extraordinary," said Ken Hu, Huawei's Deputy Chairman, at Huawei Connect 2019. Huawei created this programme to tie into the United Nations Sustainable Development Goals (SDGs), and is working with partners to protect tropical rainforests, keep food sources sustainable and diagnose visual disorders in children early.
The future depends on connectivity. From artificial intelligence and self-driving cars to telemedicine and mixed reality to as yet undreamt technologies, all the things we hope will make our lives easier, safer, and healthier will require high-speed, always-on internet connections. To keep up with the explosion of new connected gadgets and vehicles, not to mention the deluge of streaming video, the mobile industry is working on something called 5G--so named because it's the fifth generation of wireless networking technology. The promise is that 5G will bring speeds of around 10 gigabits per second to your phone. US carriers promise that 5G will be available nationwide by 2020, but the first 5G networks won't be nearly so fast.
Spark is a powerful, general purpose tool for working with Big Data. Spark transparently handles the distribution of compute tasks across a cluster. This means that operations are fast, but it also allows you to focus on the analysis rather than worry about technical details. In this course you'll learn how to get data into Spark and then delve into the three fundamental Spark Machine Learning algorithms: Linear Regression, Logistic Regression/Classifiers, and creating pipelines. With this background you'll be ready to harness the power of Spark and apply it on your own Machine Learning projects!
Attentional Neural Network is a new framework that integrates top-down cognitive bias and bottom-up feature extraction in one coherent architecture. The top-down influence is especially effective when dealing with high noise or difficult segmentation problems. Our system is modular and extensible. It is also easy to train and cheap to run, and yet can accommodate complex behaviors. We obtain classification accuracy better than or competitive with state of art results on the MNIST variation dataset, and successfully disentangle overlaid digits with high success rates.
Sandvine, the leader in Active Network Intelligence (ANI) solutions, announced ActiveLogic, a cloud-optimized, hyperscale, CUPS-compliant data plane software solution for any network access type, including emerging 5G deployments. ActiveLogic is powered by a unique machine learning-based application classification engine. The ANI Classification Engine (ACE) accurately classifies traffic even when end-to-end encryption techniques are used, rendering almost all of the current "DPI" solutions on the market today obsolete. ActiveLogic is available now for customer testing with cloud, virtual, and COTS hardware options. "ActiveLogic is the final piece in Sandvine's strategy because it once again raises the bar for the critical data that is used to drive automation and cloud adoption," said Lyn Cantor, President and CEO of Sandvine.
Network capacity planning aims to ensure that sufficient bandwidth is provisioned, allowing network SLA targets, such as delay, jitter, loss, and availability, to be reliably met. Until recently, the network data necessary for insightful capacity planning was generally only available via static, historical, after-the-fact reports. This situation is now rapidly changing. "By pairing advanced data science and cognitive technology such as AI and machine learning, IT can drive new and smarter predictive insights to improve network capacity-planning accuracy," says Ashish Verma, a Deloitte Consulting managing director specializing in cognitive analytics. "This helps organizations unleash data to make more agile decisions, improve operational wisdom, avoid downtime and create a better user experience."
Motorola has hit back at claims that its resurrected Razr can only withstand 27,000 folds before showing signs of damage. CNET conducted a durability test with the new foldable phone last week with a FoldBot and after thousands of rapid folds and just three hours, the Razr's hinge was failing and not fully closing the foldable device. However, the US smartphone-maker says the robot'put undue stress on the hinge' and did not allow the foldable phone to'open and close as intended', the firm told Engadget in a statement. Motorola conducted its own tests with a robot it claims folds the phone properly and revealed users should get'years of use.' In a statement to Engadget, Motorola said: 'razr is a unique smartphone, featuring a dynamic clamshell folding system unlike any device on the market.