Interesting chart by McKinsey & Company regarding the omnichannel experience.
The five dimensions to deliver an elevated omnichannel experience
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Category Archives: Digital
Top 100 A.I. companies
Tally meets Decathlon US
IoT Security happens on four levels
Very useful diagram that show IoT Security lifecycle.
How to remove background from images without Photoshop using this free online AI tool
If you need to quickly remove the background of an image you know how it can be boring, even with access to software like Photoshop. Remove.bg is a single-purpose website that uses AI to do the job for you. Just upload any image and the site will automatically identify any people in it, cut around the foreground, and let you download a PNG of your subject with a transparent background.
It’s the latest example of how machine learning techniques that were once cutting-edge are being turned into simple consumer tools. In the case of removing an image’s background, there are already a few open-source algorithms that can handle this particular task.
Other similar tools include Deepart.io which applies the style of one image (like a painting) to another, and LetsEnhance.io, which uses AI to automatically upscale pictures.
Pepper @ Praga Airport
AWS launches Robomaker, a platform to test and deploy robotic applications
AWS (Amazon Web Services) has launched AWS RoboMaker, a new cloud service for developers to develop, test, and deploy robotics applications, as well as build intelligent robotics functions using its cloud services.
For this services, AWS has chosen Robot Operating System (ROS) and integrated the same with its cloud environment as an AWS cloud service named RoboMaker. AWS integration of Robot Operating System (ROS) will help developers leverage other AWS’s cloud services such as machine learning, monitoring, and analytics services to enable a robot to stream data, navigate, communicate, comprehend and learn.
RoboMaker essentially serves as a platform to help speed up the time-consuming robotics development process. Among the tools offered by the service are Amazon’s machine learning technologies and analytics that help create a simulation for real-world robotics development. The system can also be used to help manage fleet deployment for warehouse-style robotics designed to work in tandem. “AWS RoboMaker automatically provisions the underlying infrastructure and it downloads, compiles, and configures the operating system, development software, and ROS,” the company writes. “AWS RoboMaker’s robotics simulation makes it easy to set up large-scale and parallel simulations with pre-built worlds, such as indoor rooms, retail stores, and racing tracks, so developers can test their applications on-demand and run multiple simulations in parallel.
Robot delivery startups backers top list
Following the data of at least eight companies in the robot delivery space with headquarters or operations in North America that have secured seed or early-stage funding in the past couple of years.
They range from heavily funded startups to lean seed-stage operations. Silicon Valley-based Nuro, an autonomous delivery startup founded by former engineers at Alphabet’s Waymo, is the most heavily funded, having raised $92 million to date. Others startups have raised a few million.
In the chart, we look at key players, ranked by funding to date, along with their locations and key investors.
Apex.ai: reliable, safe, and certified software for autonomous mobility
Apex.AI’s software stack is designed to easily integrate into existing systems and serve as the enterprise version of the Robot Operating System, an open-source software middleware for robotics.
n order to never fail, Apex.AI has built redundancies into the system to ensure single failures don’t result in system-wide failures.
“We go through every line of code and guarantee that safety-critical processes get the amount of compute time needed to execute,” Becker said.
Apex.AI is application agnostic, meaning this can be used in all autonomous systems — ranging from cars to drones to flying taxis.
Happy Hacking Keyboard Professional 2
HHKB is a mechanical keyboard for minimalists – it contains only a small set of 60 keys or so.
HHKB PRO 2 KEY COMBINATIONS
The Ctr (Control) Key is above Shift Key.
- F1 to F10 are mapped via Fn (Function Key) with 1 to 9, and 0.
- F11 and F12 are pressed via Fn + (-) and (+) respectively.
- Insert = Fn + |
- Delete can also be pressed via Fn + ~
- Backspace = Fn + Delete
- Arrow keys: Fn + { (UP), Fn + ? (DOWN), Fn + ; (LEFT) and Fn + ” (RIGHT)
- Home: Fn + K
- End: Fn + <
- Page Up: Fn + L
- Page Down: Fn + >
And, you would need to set your keyboard to region USA otherwise, some keys are not possible e.g. \ key will be # instead in UK. As you probably can figure out, the keyboard is for heavy Linux/Unix users with the love for Vi/Vim.