A startup based on Princeton research is rethinking the computer chip with a design that increases performance, efficiency and capability to match the computational needs of technologies that use artificial intelligence (AI). Using a technique called in-memory computing, the new design can store data and run computation all in the same place on the chip, drastically reducing cost, time and energy consumption in AI computations.
Using Artificial Intelligence (AI) to replace optical and mechanical components, researchers have designed a tiny spectrometer that breaks all current resolution records.
In this article, we look at how Super Low power Wi-Fi and Bluetooth LE enable smart locks to be more agile and reliable by demonstrating these features with a case study from Renesas.
Led by Saptarshi Das, Penn State associate professor of engineering science and mechanics, researchers developed a smart hardware platform, or chip, to mitigate energy consumption while adding a layer of security.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
If off-the-shelf silicon isn’t providing what you need, it’s never been easier to design and build your own.
In this episode, we talk about how performance limitations of current microchips are being addressed by utilizing novel materials like graphene and bioinspired designs to address the needs of next generation computing and electronics.
Choosing Cellular or WiFi Article #2: Learn how you can determine the best choice for your IoT deployment.
Choosing Cellular or WiFi Article #1:Cellular and WiFi connectivity have their own distinct benefits for IoT. Learn about the strengths and weaknesses and application examples of each one.
The ins and outs of microcontrollers, and an overview of the difference between MCU and microprocessors (MPU).
Georgia Tech expert predicts that America will need to make major changes to the manufacturing and supply chain
Emerging 5G wireless systems are designed to support high-bandwidth and low-latency networks connecting everything from autonomous robots to self-driving cars. But these large and complex communication networks could also pose new security concerns.
For most of our nRF52 Series, we have a chip-scale package and a Quad-Flat No-leads (QFN) option. With our nRF52840, we introduced the aQFN package to our product portfolio.
Research scientists demonstrated ultrafast optical circuit switching using a chip-based soliton comb laser and a completely passive diffraction grating device. This particular architecture could enable an energy-efficient optical datacenter to meet enormous data bandwidth requirements in future.