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

Power/Performance Bits: Dec. 11


Internet of Ears for smart buildings Scientists at Case Western Reserve University proposed a new way for smart homes to determine building occupancy: sensors that 'listen' to vibration, sound, and changes in the existing ambient electrical field. "We are trying to make a building that is able to 'listen' to the humans inside," said Ming-Chun Huang, an assistant professor in electrical engi... » 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

Training a Neural Network to Fall


Who knew falling was so complicated? “I don’t want to work on a fall detection system ever again,” said MbientLab CEO Laura Kassovic in front of an ARMTech Con audience. The audience laughed as she flashed a picture of what could now be a better approach—the Apple Watch Series 4, which had recently been announced. “The Apple 4 has the fall detection sensor built in. It’s probably... » read more

Giving a flexible edge to the IoT


As the Internet of Things (IoT) continues to revolutionize our daily lives, the demand for smaller, smarter, and more diverse flexible technology has never been greater. Increasingly complex demands have driven the development of smart sensors to monitor everything from velocity and proximity to pressure, humidity, and more. Future devices will need to interact with the ambient environment by p... » read more

Week in Review: IoT, Security, Auto


Internet of Things Lowe’s, the home improvement retailer, is giving up on the smart home market. The company is putting its Iris Smart Home business up for sale as part of a reorganization. The retailer made a big splash at CES 2015 with its Innovation Lab offerings, which included retail service robots and the Holoroom “home improvement simulator.” The Iris product line includes multipl... » read more

Looking Beyond The CPU


CPUs no longer deliver the same kind of of performance improvements as in the past, raising questions across the industry about what comes next. The growth in processing power delivered by a single CPU core began stalling out at the beginning of the decade, when power-related issues such as heat and noise forced processor companies to add more cores rather than pushing up the clock frequency... » read more

Why 56Gb/s And 112Gb/s SerDes Matter In Our Daily Social-Media-Driven Lives


Hyper-scalers and service providers are moving from 100GbE to 400GbE Ethernet rates and beyond. Wireline and wireless networks are driving new architectures to support the move from 4G LTE to 5G infrastructure. These transitions are driven by the increasing global IP traffic as the world becomes more connected and digital. At the same time, the decentralization of the cloud and data centers are... » read more

AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

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