Will The Fitbit Charge 5 Outshine The Fitbit Luxe?


We don’t know, and we do not comment on whether one device is better than its previous generation. What we do is look at and compare generations of devices. And while we wait for our pre-order of our Fitbit Charge 5 to arrive, we will take a look at what Fitbit Luxe has inside of it. Fig. 1: Fitbit Luxe. Fig. 2: Fitbit Inspire 2. The Luxe has other changes from the Inspire 2, inc... » read more

Why TinyML Is Such A Big Deal


While machine-learning (ML) development activity most visibly focuses on high-power solutions in the cloud or medium-powered solutions at the edge, there is another collection of activity aimed at implementing machine learning on severely resource-constrained systems. Known as TinyML, it’s both a concept and an organization — and it has acquired significant momentum over the last year or... » read more

What’s Ahead For DRAM, NAND?


For the last year, the semiconductor industry has been in the midst of a boom cycle. But if you look close enough, there are mixed signals in the market, especially in memory. Still, it’s a banner year for semiconductors. In total, the semiconductor market is expected to grow by 18.1% in 2021, according to Semico Research. That compares to 6.6% growth in 2020, according to Semico. Today... » read more

The “Natively Flexible” Processor Has Arrived: Here’s What We Need To Make It Mainstream


The microprocessor is one of history’s pivotal inventions, ranking in influence with breakthroughs such as the wheel, the transistor, and the printing press. There is no escaping their popularity or usefulness either: with tens of billions of processors produced each year they have revolutionized industries such as health care, media, retail, transportation, and of course information manageme... » 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

Changes In Auto Architectures


Automotive architectures are changing from a driver-centric model to one where technology supplements and in some cases replaces the driver. Hans Adlkofer, senior vice president and head of the Automotive Systems Group at Infineon, looks at the different levels of automation in a vehicle, what’s involved in the shift from domain to zonal architectures, why a mix of processors will be required... » read more

Chip Shortages Grow For Mature Nodes


The current wave of chip shortages is expected to last for the foreseeable future, particularly for a growing list of critical devices produced in mature process nodes. Chips manufactured at mature nodes typically fall under the radar, but they are used in nearly every electronic device, including appliances, cars, computers, displays, industrial equipment, smartphones, and TVs. Many of thes... » read more

Latest IC Forecast: Big Demand, Shortages


Over the last year, the semiconductor industry has seen its share of highs, lows and uncertainties. In early 2020, the business looked bright, but the IC market dropped amid the Covid-19 pandemic outbreak. Throughout 2020 different countries implemented a number of measures to mitigate the outbreak, such as stay-at-home orders and business closures. Economic turmoil and job losses soon follo... » 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

Compiling And Optimizing Neural Nets


Edge inference engines often run a slimmed-down real-time engine that interprets a neural-network model, invoking kernels as it goes. But higher performance can be achieved by pre-compiling the model and running it directly, with no interpretation — as long as the use case permits it. At compile time, optimizations are possible that wouldn’t be available if interpreting. By quantizing au... » read more

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