Using Silicon Photonics To Reduce Latency On Edge Devices


A new technical paper titled "Delocalized photonic deep learning on the internet’s edge" was published by researchers at MIT and Nokia Corporation. “Every time you want to run a neural network, you have to run the program, and how fast you can run the program depends on how fast you can pipe the program in from memory. Our pipe is massive — it corresponds to sending a full feature-leng... » read more

Always On, Always At Risk


Always-on devices are everywhere, and each of them is a potential target for hackers. While many people associate always-on devices with smart speakers such as an Amazon Alexa or Google Home, or a connected security camera, that's only one component in a system. There's a broader infrastructure behind those devices. So even if you power down a digital assistant/smart speaker, everything it's... » read more

Week in Review: IoT, Security, Auto


Internet of Things Combining artificial intelligence with unmanned aerial vehicles could provide a quicker and safer alternative to inspecting roadways for cracks, potholes, and other damage, according to a paper posted on arvix.org. “[M]anual visual inspection [is] not only tedious, time-consuming, and costly, but also dangerous for the personnel. Furthermore, the detection results are alwa... » read more