SAS in recent years "hasn't been as visible as it could have been," said Schabenberger. But the company has been making pivots to software as a service, connecting its platform to other analytics tools and targeting industries better. SAS has been focused on "how our offering can bring analytics to areas undiscovered," he added SAS has also been focused on targeting a wide range of companies beyond large enterprises and making its offering more consumable. The company is entering a results as a service model where customers come with business problems and SAS can help solve them with its expertise in analytics, machine learning and data science. Most of the company's customers are on-premises, but migrating to cloud workloads at different paces, said Schabenberger.
A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in order. If you're into science, chances are you know arXiv.org. In other words, it's where cutting edge research often appears first. Some months back, a publication from researchers from Salesforce appeared in arXiv, titled "Multi-Hop Knowledge Graph Reasoning with Reward Shaping."
Nvidia has taken the wraps off its next iteration of workstations for data scientists and users interested in machine learning, with a reference design featuring a pair of Quadro RTX GPUs. Announced at Nvidia GTC on Monday, the dual Quadro RTX 8000 or 6000 GPU design is slated to provide 260 teraflops, and have 96GB of memory available thanks to the use of NVLink. Signed up to provide the new, beefier workstations are Dell, HP, and Lenovo. On the server side, the company unveiled its RTX blade server, which can pack 40 GPUs into an 8U space, and is labelled as a RTX Server Pod when combined with 31 other RTX blade servers. The storage and networking backbone of the blade servers are provided by Mellanox -- which Nvidia purchased just shy of $7 billion last week.
Researchers at Nvidia have created a new generative adversarial network model for producing realistic landscape images from a rough sketch or segmentation map, and while it's not perfect, it is certainly a step towards allowing people to create their own synthetic scenery. The GauGAN model is initially being touted as a tool to help urban planners, game designers, and architects quickly create synthetic images. The model was trained on over a million images, including 41,000 from Flickr, with researchers stating it acts as a "smart paintbrush" as it fills in the details on the sketch. "It's like a colouring book picture that describes where a tree is, where the sun is, where the sky is," Nvidia vice president of applied deep learning research Bryan Catanzaro said. "And then the neural network is able to fill in all of the detail and texture, and the reflections, shadows and colours, based on what it has learned about real images."
Nvidia has gone small to create the latest member of its Jetson series aimed at autonomous and embedded systems, unveiling the Nano on Tuesday. Powered by a 128-core Maxwell GPU capable of 472GFlops at half precision, a 4-core ARM A57 CPU, with 4GB of LPDDR4 memory and 16GB of flash storage, the $130 Jetson Nano has been labelled as a low-powered AI computer. For H.264 and H.265 video, the Nano is capable of processing eight 1080p streams in parallel while running object detection on all eight streams simultaneously at a rate of 30 frames per second. At the start of the month, Google launched its Coral board, which uses Google's Edge TPU. Nvidia senior manager of product for autonomous machines Jesse Clayton said Edge TPU was "fast for a few small classification networks", but that the architecture was not suited for "large, deep neural networks".
Pure Storage said Monday that it has combined its AIRI artificial intelligence platform with Nvidia's DGX-1 and DGX-2 hyperscale systems and rolled out a new FlashStack for AI with Cisco and Nvidia. The effort highlights how storage players are lining up with Nvidia to create hyperscale systems designed for AI and machine learning. Last week, Dell EMC said its system in collaboration with Nvidia was available. There's a good reason storage providers are lining up AI systems with the likes of Nvidia. Many AI production deployments so far have been on premise.
Apple has updated its long-in-the-tooth but popular smallest tablet, the iPad Mini, and the larger iPad Air. Both models have been brought up to parity with the iPhone XS and the iPad Pro with Apple's A12 Bionic processor, which is up to three times faster than that in previous versions, which have chips dating back to 2014. The iPad Mini maintains its 7.9in screen and relatively compact design, which have proved popular with commuters. The iPad Air's screen has been increased from 9.7in to 10.5in on the diagonal, making it larger than the standard, cheaper iPad launched in March 2018. Both new iPads also keep the home button with Touch ID fingerprint reader, eschewing Apple's newer Face ID face recognition system and swipe gestures, and the same basic design with large bezels at the top and bottom of the screen.
If you don't have hundreds of dollars to spend on new bulbs, hubs, and thermostats, you can still make your home a whole lot smarter. And today's a great time to start: B&H Photo is selling the TP-Link HS300 smart Wi-Fi power strip for $55Remove non-product link when applying the 31 percent coupon on the listing,, along with a three-pack of TP-Link's HS200 smart Wi-Fi switches for $57Remove non-product link, nearly 50 percent off its list price of $105. The smart Wi-Fi power strip allows you to plug in up to six devices at once, and control them individually with their individual switches or by using the connected app. There are also three handy USB ports for charging up extra devices. Using TP-Link's Kasa app, you can set schedules and turn devices on and off remotely, as well as monitor energy usage.
Your message has been sent. There was an error emailing this page. Welcome to the Google Home shadow market, a symbiotic ecosystem of third-party products that add a bit more versatility to the Google Home Mini and original Google Home smart speaker. Some grant true portability to Google's otherwise-tethered speakers. Others help you place the speakers in a more convenient position.
Machine learning is coming to the masses, and those hordes of DIY drones and robots are about to get a whole lot smarter. On Monday at Nvidia's GTC conference, the company plans to reveal the $99 Jetson Nano Developer Kit. The kit is an expansion of the company's "Jetson" embedded graphics platform, and it aims to infuse your wildest maker projects with AI that the Raspberry Pi could only dream of. It'll be available immediately online, through distributors, and at GTC itself. The Jetson Nano Developer Kit is a standalone version of the new Jetson Nano AI computer also announced today.