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Training a ML model On An Intelligent Edge Device Using Less Than 256KB Memory


A new technical paper titled "On-Device Training Under 256KB Memory" was published by researchers at MIT and MIT-IBM Watson AI Lab. “Our study enables IoT devices to not only perform inference but also continuously update the AI models to newly collected data, paving the way for lifelong on-device learning. The low resource utilization makes deep learning more accessible and can have a bro... » read more

Integrate FPGAs For A Customizable MCU


MCUs come in a broad range of flavors, meaning you can pick the best one for the application with the right performance, feature set, peripherals, memory, and software programmability. So, then, why do many systems also use FPGAs next to the MCUs? Usually, it’s because there’s not a “perfect” MCU for their application. MCUs by definition are built to be generic for a wide variety of app... » read more

MPU Vs. MCU


There was a time when microprocessors and microcontrollers were distinct devices. There was never a question as to which one you were dealing with. But changes in the memory architecture have muddied the distinction in modern devices. There are a number of ways in which microprocessors and microcontrollers could possibly be differentiated. But there is no universal agreement as to how that s... » read more

What Happened To Execute-in-Place?


Executing code directly from non-volatile memory, where it is stored, greatly simplifies compute architectures — especially for simple embedded devices like microcontrollers (MCUs). However, the divergence of memory and logic processes has made that nearly impossible today. The term “execute-in-place,” or ”XIP,” originated with the embedded NOR memory in MCUs that made XIP viable. ... » read more

Week In Review: Design, Low Power


Processors Arm rolled out a micro neural processing unit that, when combined with its newest microcontroller, can increase machine learning performance by up to 480 times. The company is aiming the MCU and co-processor across a wide swath of applications. Worth noting is that Arm calls its Cortex-M55 an AI-capable processor, rather than a microcontroller, as the lines between the various proce... » read more

Week In Review: Design, Low Power


Everspin and Seagate inked a patent cross-licensing agreement, including the assignment and licensing of MRAM patents from Seagate to Everspin as well as licensing of specific Tunneling Magnetoresistance (TMR) patents from Everspin to Seagate, which will be used in HDD read/write head technology. Subaru utilized ANSYS' SCADE suite for critical control systems to design and validate embedded ... » read more

Week in Review: IoT, Security, Auto


Products/Services Arm rolled out its Flexible Access program, which offers system-on-a-chip design teams the capability to try out the company’s semiconductor intellectual property, along with IP from Arm partners, before they commit to licensing IP and to pay only for what they use in production. The new engagement model is expected to prove useful for Internet of Things design projects and... » read more

Crossover To Memory Expansion With Adesto EcoXiP and NXP’s i.MX RT Crossover Processors


The ‘Crossover Processor’ integrates attributes of a microprocessor such as higher CPU speeds, multimedia interfaces and expandable memory into a microcontroller form factor built for cost effectiveness and fastest development time. This new crossover processor class of device provides embedded developers the ability to solve many problems in today’s fast-moving technology markets. To ... » read more

The Week in Review: IoT


Cybersecurity The U.S. and U.K. governments collaborated on an unprecedented message on Monday, together warning that Russian cyberattacks may extend beyond government and private organizations to individual homes and offices. The attacks may focus on Internet of Things devices, said Rob Joyce, the cybersecurity coordinator for the National Security Council, who soon after resigned from the Wh... » read more

The Week in Review: IoT


Finance Vectra raised $36 million in Series D funding led by Atlantic Bridge Capital. The Ireland Strategic Investment Fund and Nissho Electronics also participated in this funding round along with returning investors Khosla Ventures, Accel Partners, IA Ventures, AME Cloud Ventures, DAG Ventures, and Wipro Ventures, bringing Vectra’s total funding to date to $123 million. Vectra will use the... » read more

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