The Weebit Nano Blog details the latest happenings around the company’s ReRAM/RRAM technology milestones and commercial developments
When designing an embedded system, the location where code is stored is only part of the memory equation. Designers also need to consider how that code gets to the processor when it is time to execute it. In many embedded...
Artificial intelligence is moving beyond chatbots and data analytics into the physical world. A new generation of systems, often referred to as ‘physical AI,’ combines AI-driven decision making with real-world sensing and actuation. Robots, autonomous mobile systems, industrial automation...
In AI inference, trained models apply their knowledge to make predictions and decisions. To achieve lower latency and better security, the world is transitioning steadily towards performing AI inference at the edge – without sending data back and forth...
When DB HiTek licensed Weebit ReRAM, we mentioned that the ReRAM (RRAM) will be implemented in their 130nm Bipolar-CMOS-DMOS (BCD) process. We also mentioned that a BCD process is ideal for mixed-signal and high-voltage designs in applications such as consumer,...
You might have seen the news that Weebit’s second Weebit ReRAM IP module is now available for the S130 CMOS process from SkyWater Technology. The IP is now fully qualified per JEDEC standards and is ready for mass production. We...
As Weebit ReRAM continues towards production, we’ve decided now would be a good time to dig into some of the applications where we think our technology will first have an impact. One of these is power management integrated circuits (PMICs)....
As embedded memories move below 28nm process geometries, it is becoming more and more complex and expensive to scale standard memories that are charge-based (those that store data as an electrical charge like flash) and integrate them with advanced CMOS...
