Results


Samsung Galaxy 8 Event: Analyst Quick Take

Forbes

Infinity Display and design: Ten years ago, designers did mockups of what phones would look in the distant future as one slab of glass. The S8 is the closest phone yet that represents that vision. The 5.8" and 6.2" are not only large display, but have incredibly-high resolutions of 2960x1440 (Quad HD) with 570 and 529 PPI (pixels per inch). The Infinity Display is stunning and I'm looking forward to seeing how this performs with the GearVR where PPI is paramount to the experience. DeX docking: There have been many attempts at smartphone-to-PC modularity and each one gets better.


Samsung Unpacked Is Tomorrow And The Galaxy S8 Will Bring Something Special

Forbes

Samsung's Unpacked 2017 event in New York City is set to kick off tomorrow and it's no mystery at this point that the big unveil will be Samsung's "next Galaxy," the Galaxy S8 and potentially the Galaxy S8 Plus. So much has leaked about the device(s) that much may be already known about Samsung's next flagship Android handset that is poised to take on the iPhone for smartphone domination. We've heard about display sizes, with the Galaxy S8 standard device measuring in at 5.7-inches (or maybe 5.8) and the Galaxy S8 offering gargantuan phablet proportions at 6.2-inches. However, those displays also come with very minimal bezel, as Samsung reportedly is going to take a page from Dell with something called an "Infinity Display" that will surely keep the two new Galaxy's footprints down significantly, similar to what LG delivered with the wonderfully-designed G6. Regardless, even with all these design updates -- and Samsung's new Bixby AI virtual assistant that claims to learn the human, rather than requiring the human to learn it – there's still one more unconfirmed major advancement I expect with Samsung's new pocket super computers and it lies under the hood.


NVIDIA's Jetson TX2 Takes Machine Learning To The Edge

Forbes

The Jetson boards are siblings to NVIDIA's Drive PX boards for autonomous driving and the TX2 shares the same Tegra "Parker" silicon as the Drive PX2. There are many synergies between the two families as both can be used to add local machine learning to transportation. One of my favorite products on display using the Jetson board is a portable handheld 3D scanner from Artec. Key advantages of the Jetson TX2 over the original TX1 are that it adds two additional, higher performing Denver CPU cores to the four Cortex-A57 cores in the TX1, NVIDIA's latest Pascal GPU, and it offers twice the memory capacity and bandwidth.


NVIDIA Introduces Jetson TX2 For Edge Machine Learning With High Quality Customers

Forbes

Expanding on their Jetson TX1 and TK1 products for embedded computing, NVIDIA announced last week their Jetson TX2 platform--a hardware and software platform the size of a credit card designed to deliver AI computing at the edge. NVIDIA touts Jetson TX2 as delivering "unprecedented deep learning capabilities," and based on the form factor, they may be right as it paves the way for a number of cutting-edge uses--from highly intelligent factory robots and commercial drones, to cameras with AI for smart cities. Operating at its maximum performance mode, NVIDIA says it will deliver twice the performance of Jetson TX1, using less than 15 watts of power. Running at maximum energy efficiency mode, NVIDIA says it can achieve twice the energy efficiency of TX1, while using less than 7.5 watts of power.


NVIDIA's New GTX 1080 Ti GPU Gets A Jump On AMD

Forbes

This year's Game Developers Conference (GDC) set the battleground for another skirmish between long-time Graphics Processing Unit (GPU) foes AMD and NVIDIA. Because this event was held during the Game Developers Conference (GDC), developer tools were an appropriate topic. The "Ti" brand is a traditional NVIDIA mid-life "kicker" product, but with the company's 35% nominal performance increase, this version is the company's most aggressive Ti product yet. The big push for higher performance could be because NVIDIA is anticipating AMD's higher GPU performance with the Vega architecture and wanted to preemptively counter it.


IBMVoice: Four Catalysts To Spark The Next Wave Of Innovation In Artificial Intelligence

Forbes

In the near-future, however, AI advances will give rise to increasingly powerful applications like personal assistants with more robust utility in the workplace and in our personal lives. These assistants could provide personalized information, help us make more informed decisions, and perhaps even provide physical assistance. One such technique is transfer learning, which allows AI engineers to apply a trained model to completely new types of problems with little additional training. The computational power to train and run these systems will greatly benefit from hardware innovation, including neuromorphic chips or even quantum computers powerful enough to process diverse information types simultaneously.


NVIDIA's Accelerated Computing Platform To Power Japan's Fastest AI Supercomputer

Forbes

Tokyo Tech is in the process of building its next-generation TSUBAME supercomputer, featuring NVIDIA GPU technology and the company's Accelerated Computing Platform. TSUBAME 3.0, as the system will be known, will ultimately be used in tandem with the existing TSUBAME 2.5 system, to deliver an estimated 64.3 (in aggregate) PFLOPS of AI compute horsepower. On its own, TSUBAME 3.0, is expected to offer roughly two times the performance of its predecessor. TSUBAME 3.0 will be built around NVIDIA's Pascal-based Tesla P100 GPUs, which are not only more efficient, but higher-performing than previous-generation Maxwell GPUs in terms of performance per watt and performance per die area. It is estimated that TSUBAME 3.0 will deliver roughly 12.2 petaflops of double precision compute performance, which would place it among the world's 10 fastest systems according to the most recent TOP500 list.


Dynatrace Drives Digital Innovation With AI Virtual Assistant

Forbes

Innovation in the white-hot digital performance management (DPM) market continues to accelerate, and it was clear from this week's Perform conference in Las Vegas that Dynatrace is setting the pace. In fact, Coop's mobile application is state-of-the-art, featuring digital payments, couponing, and e-receipts, with in-store location tracking and streaming video content on the way. "We're using davis for everything we can," says Jeppe Lindberg, Application Performance Manager at Coop Denmark. "Coop is working with Dynatrace to deliver relevant data to relevant people inside Slack," Lindberg explains.


The Future Of Performance Management: How AI And Big Data Combat Workplace Bias

Forbes

Today, there's somewhat of a crisis of confidence in the way that industry evaluates employee performance. One piece of recent research showed that only 6% of organizations think their performance management processes are worthwhile. Many companies have undergone a move away from traditional, metric-based performance assessment in recent years. Sometimes this is because they have been found limiting. Sometimes because it was found that employers and managers are too easily inclined to simply ignore them, if their findings don't line up with their personal "gut feeling" on who they like or dislike.


Storage In Consumer Electronics

Forbes

The 2017 CES show featured the latest in consumer products and services. The CES show featured Virtual and Augments Reality, 3D printing, Artificial intelligence with voice recognition and automated vehicles, high resolution and high dynamic range displays, health products, robots, toys and just about every other consumer product that you can think of. However one thing that all of these electronic devices have in common is their need for digital storage and memory. Seagate and DJI (the leading Chinese drone manufacturer) announced a strategic partnership to work jointly to solve the data demands of UAV users. As drone cameras gain resolution and drone flight times grow longer, DJI and Seagate are focusing their efforts to securely and efficiently store, manage, download and share the hundreds of gigabytes of data that can be generated from a single drone mission.