Computex has always been a PC show and with good reason--Taiwan designs most of the world's computers and manufactures many of the components that end up in them. But with the PC market still in the doldrums, this year there is a concerted effort to broaden the show to encompass buzzier themes such as the Internet of Things, artificial intelligence and robotics, and virtual reality. That trend was reflected in Intel's opening keynote, which covered a wide range of technology from home gateways to drones to VR gaming to media processing to machine intelligence. That's not say the PC wasn't present. But Intel rushed though the PCs mentioning a handful of innovative PCs (HP Spectre 13, Lenovo Ideacentre 610s and Intel Skull Canyon NUC) and 2-in-1s (Acer Switch 12, Dell Inspiron 11 3000 and Huawei MateBook).
The idea of Google Home is futuristic and pretty great, but still very much cut and dry. In essence, it's meant to be a smart home hub that can power your IoT devices, communicate with just about every gadget you own, act as a speaker, take commands, and use Google's advanced artificial intelligence, machine learning and neural networking technologies to serve you in ways you may not think of. In essence, it's the ultimate form of Google Now, brought into your home and powered by Google's new Assistant. Google Home looks set to take the smart home control hub niche to a whole new level with the help of Google's advanced technologies. There are a few issues, however, and one is that we don't know much about Google Home just yet, and this makes it difficult to gauge consumer interest and how well it may compete in the marketplace.
This wasn't a your average jazz band member, though--this was Shimon, a four-armed robot marimba player built by the Georgia Institute of Technology to be able to listen to music, improvise, and play along with human musicians. Barnes joined Weinberg, his team, and Shimon onstage to play a few songs, and the performance was pretty surreal. His students are also working on making Shimon's creative abilities even stronger, currently working on figuring out what it would sound like if it was fed one style of music and asked to play another, such as feeding it Mozart and asking it to play jazz in the style of Thelonious Monk. But unlike IBM or many other researchers using AI systems for music, Weinberg's team is building working robots that can play real acoustic instruments, rather than programs that output beeps from a speaker.
Using advanced machine learning algorithms, Device Analyzer provides users with greater visibility into the operational state of each of their monitored devices. "Marking the effective integration of machine learning technology and data science, Device Analyzer introduces breakthrough architectural innovations that support process optimization across the PowerRadar software platform," said Yaniv Vardi, CEO of Panoramic Power. The first implementation of Device Analyzer is manifested in PowerRadar Version 2.0, where the system collects device level energy data, automatically learns device patterns and after a short training period automatically identifies the different operational states of each device. Panoramic Power, recently acquired by Direct Energy through its parent company Centrica, enables businesses to optimize their energy consumption and improve system level performance and operations.
He went on to say it's no longer viable for businesses to just automate internal processes, rather the future needs to focus on using automated systems to make intelligent predictions. We're not just automating internal sales process anymore so the sales director has a sales forecast that makes sense. For example, if you're matching a job candidate and profile in the human capital management department, or you're selling a product as a retailer and on social media you're getting a lot of feedback, the machine will learn what that feedback is and make a decision on what the response should be based on what is going on," he said. The company first announced the Digital Boardroom at last year's Sapphire event, which it touted at the time would "contextualise and simplify performance reporting across all areas of business in real-time".
Through the new Centre, GE and IIT Madras will create the Digital Twin of a smelter, a living digital model that will continuously generate new data and insights about the smelter that allows operators to run the smelters more efficiently. "A mere one percent increase in productivity through the application of Industrial Internet solutions can contribute to a 20 percent potential increase in performance for its customers," Azeez Mohammed, president & CEO, GE Power Services, Middle East & Africa. Researchers and students will work closely with the GE Global Research, GE Power Services Engineering and GE Digital teams at GE's John F. Welch Technology Centre in Bengaluru. These solutions will be developed using GE's Predix Industrial Internet operating system and Predix APM (Asset Performance Management), which optimises machines and operations to maximise business performance through three core capabilities - Machine and Equipment Health, Reliability Management, and Maintenance Optimisation.
Humanyze has rolled out Wyze, its flagship product that is designed to measure social interactions and improve teamwork and processes in companies. BOSTON–(BUSINESS WIRE)–Humanyze, the global leader in people analytics technology, announced 4M in Series A financing today from Romulus Capital. The announcement comes as Humanyze rolls out the first of its kind Wyze people analytics platform to its strong Fortune 500 customer base in the US and industry leaders in Japan with the goal of making large corporations more agile and accurate about their most valuable resource (people), and to make these same people more in control of their performance and improvement. "Our customers – which include the largest multinationals and consulting firms – are investing heavily in technology and personnel to make full use of our data-driven people analytics platform. Employees are almost universally opting in as they see the individual benefits.
Based on the new NVIDIA Pascal GP100 GPU and powered by ground-breaking technologies, Tesla P100 delivers the highest absolute performance for HPC, technical computing, deep learning, and many computationally intensive datacenter workloads. Unlike other technical computing applications that require high-precision floating-point computation, deep neural network architectures have a natural resilience to errors due to the backpropagation algorithm used in their training. Kepler significantly increased the throughput of atomic operations to global memory compared to the earlier Fermi architecture; however, both Fermi and Kepler implemented shared memory atomics using an expensive lock/update/unlock pattern. Maxwell improved this by implementing native hardware support for shared memory atomic operations for 32-bit integers, and native shared memory 32-bit and 64-bit compare-and-swap (CAS), which can be used to implement other atomic functions with reduced overhead (compared to the Fermi and Kepler methods which were implemented in software).
In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines. Join @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 7-9, 2016 in New York City, for three days of intense'Internet of Things' discussion and focus, including Big Data's indespensable role in IoT, Smart Grids and Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) IoT's use in Vertical Markets. Intel and Cisco have been named the world's most influential IoT brands, followed by SYS-CON Media's global IoT event, @ThingsExpo as the world's most influential IoT media brand. The company's internationally recognized brands include among others Cloud Expo (@CloudExpo), Big Data Expo (@BigDataExpo), DevOps Summit (@DevOpsSummit), @ThingsExpo (@ThingsExpo), Containers Expo (@ContainersExpo) and Microservices Expo (@MicroservicesE).
At the GPU Technology Conference, Nvidia unveiled the Tesla P100, the latest addition to Nvidia's Tesla Accelerated Computing Platform (TACP). With the image-recognition that will power computer visions, smart grid management, smart city operations, and the massive amounts of sensor data that need to be crunched to realize more efficient business practices, systems like Nvidia's provide a very capable alternative to gigantic arrays of general purpose compute resources in datacenters. The 16nm FinFET Pascal design consists of 15.3bn transistors, and is currently the largest FinFET chip to ever be built – utilizing the 3D transistor design that FinFET provides to achieve more computational power in a given footprint compared to older designs. The P100-powered node uses two Xeons, 512GB of DDR4 RAM, and four P100 units – which equates to a lot less physical space in a datacenter, and a whole lot less power draw (typically the largest cost in a datacenter).