Five steps to successful threat modeling


The Internet of Things (IoT) is changing the way we interact with the world around us. Over the next few years, billions more connected devices will enable us to drive efficiency, boost productivity, and enhance comfort and convenience in our personal and professional lives. And we’re not the only ones to see the potential of this market. IoT devices are the target of increasingly sophisti... » read more

November ’18 Startup Funding: Big Deals Dominate


A dozen tech startups involved in mobility, software, cybersecurity, robotics and smart payment terminals each raised $100 million or more in November. Big deals in automation, transportation sharing That $100 million figure came most often from SoftBank’s Vision Fund, a Japan-based fund that is also backed by big investors such as Apple, Abu Dhabi’s government, and famously the Kingdom... » read more

Week in Review: IoT, Security, Auto


Internet of Things DHL Supply Chain reports that it will spend $300 million to install Internet of Things sensors and collaborative robots in its North American warehouses, bringing 60% of those facilities up to automation capabilities already implemented in 85 of DHL’s 430 warehouses in North America. The company will also employ robotic process automation software and other programs to red... » read more

Dawn Of The Data-Driven Age


Autonomous vehicles, 5G, a security breach at Marriott hotels, and AI. These may seem unrelated, but they're all linked by one common thread—data. Data creation, management and processing always have been a winning business formula. In 2004, IBM sold off its PC business on the assumption that it could still achieve significant growth by managing its customers' data. The rapid buildup by co... » read more

Dirty Data: Is the Sensor Malfunctioning?


Sensors provide an amazing connection to the physical world, but extracting usable data isn't so simple. In fact, many first-time IoT designers are unprepared for how messy a sensor’s data can be. Every day the IoT motion-sensor company MbientLab struggles to tactfully teach its customers that the mountain of data they are seeing is not because the sensors are faulty. Instead, the system d... » read more

Will Cowboys Or Collaborators Shape The Self-Driving Future?


You may have noticed the bloom is ever so slightly off the autonomous vehicle rose. This is likely due to some combination of a generalized malaise and growing cynicism directed at Silicon Valley in general (where of course much work on AVs continues apace) and a growing list of highly publicized self-driving incidents that surely make PR teams groan. Exhibit A from this week was the California... » read more

Dodging The Next Generation Of Car Thieves


The complexity of vehicle electronics is growing and brings with it more opportunities for hackers to penetrate the car’s defenses. More connections bring in multiple network topologies, which may or may not be secure. As they are all intertwined and interconnected, any connection to get into the vehicle’s electronics is a potential point of attack for hackers. For example, jamming RFID sig... » read more

eFPGAs Offer Practical Solution For Embedded Vision Applications


Video applications, such as surveillance, object detection and motion analysis, rely on 360° embedded vision and high-resolution fish-eye cameras lenses with a wide-angle field of view (FOV). These systems have up to six real-time camera streams processing together frame by frame. Each frame is corrected for distortion and other image artifacts, adjusted for exposure and white balance, then st... » read more

High Neural Inferencing Throughput At Batch=1


Microsoft presented the following slide as part of their Brainwave presentation at Hot Chips this summer: In existing inferencing solutions, high throughput (and high % utilization of the hardware) is possible for large batch sizes: this means that instead of processing say one image at a time, the inferencing engine processes say 10 or 50 images in parallel. This minimizes the number of... » read more

Autonomous Vehicle Design Begins To Change Direction


Tools that are commonly used in semiconductor design are starting to be applied at the system level for assisted and autonomous vehicles, setting the stage for more complex simulated scenarios and electronic system design. Simulation is well understood for designing automotive ICs, but now it also is being used to design vehicle architectures and sensors, as well as for sensor miniaturizatio... » read more

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