Enabling The Next Generation Of Smarter Self-Navigating Robots Using Hybrid ToF Technology


Previous generations of robot vacuum cleaners have used a random pattern for cleaning that is inefficient and slow. Next-generation robots are much smarter and generate a map of the environment using sensors to localize themselves. This provides users with a floorplan of their home, from which the rooms and areas can be selected for cleaning or restricted from access. The new robots accomplish ... » read more

Ultimate Guide To Machine Learning For Embedded Systems


Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict from data. This is a big diversion from other fields which poses the limitation of programming instructions instead of learning from them. Machine learning in embedded systems specifically target ... » read more

V2X Security Is Multi-faceted, And Not All There


Experts at the Table: Semiconductor Engineering sat down to discuss Vehicle-To-Everything (V2X) technology and potential security issues, with Shawn Carpenter, program director, 5G and space at Ansys; Lang Lin, principal product manager at Ansys; Daniel Dalpiaz, senior manager product marketing, Americas, green industrial power division at Infineon; David Fritz, vice president of virtual and hy... » read more

Rethinking Chip Economics


As process nodes shrink, so does the selection of chips developed at those nodes. Consumers demand more features and functionality, but that carries a high price tag in terms of both complexity and real dollars. In addition, because costs are skyrocketing, there is growing pressure for those chips to remain reliable and up-to-date for longer periods of time. Jayson Bethurem, vice president of m... » read more

Changes And Challenges In Auto MCUs


Microcontrollers have been a key component in automotive for years, starting with single-core devices with limited on-chip memory for very basic functions, and evolving toward multi-core systems with more memory for more complex tasks. But as vehicles become increasingly automated, microcontrollers are changing significantly, and so is the perception of how to utilize them. These new devices ne... » read more

Safeguarding IoT Devices With SESIP And PSA Certified Root Of Trust IP


IoT is everywhere. By the end of 2024, it’s forecasted that there will be a staggering 207 billion IoT devices in the world, that’s 25 each for every human being on Earth. The connectivity of IoT devices brings great value for consumers and businesses alike, but with great connectivity comes greater vulnerability to a wide variety of malicious attacks from cyber criminals. IoT devices ar... » read more

Accelerate Complex Algorithms With Adaptable Signal Processing Solutions


Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms. Each of these algorithms present their own challenges including low-latency and deterministic processing to keep up with incoming data rates and rapid response time. Considering that many of these se... » read more

Increased Automotive Data Use Raises Privacy, Security Concerns


The amount of data being collected, processed, and stored in vehicles is exploding, and so is the value of that data. That raises questions that are still not fully answered about how that data will be used, by whom, and how it will be secured. Automakers are competing based on the latest versions of advanced technologies such as ADAS, 5G, and V2X, but the ECUs, software-defined vehicles, an... » read more

Interoperability And Automation Yield A Scalable And Efficient Safety Workflow


By Ann Keffer, Arun Gogineni, and James Kim Cars deploying ADAS and AV features rely on complex digital and analog systems to perform critical real-time applications. The large number of faults that need to be tested in these modern automotive designs make performing safety verification using a single technology impractical. Yet, developing an optimized safety methodology with specific f... » read more

Securing DRAM Against Evolving Rowhammer Threats


Advanced process nodes and higher silicon densities are heightening DRAM's susceptibility to Rowhammer attacks, as reduced cell spacing significantly decreases the hammer count needed for bit flips. Rowhammer exploits DRAM’s single-capacitor-per-bit design to trigger bit flips in adjacent cells through repeated memory row accesses. This vulnerability allows attackers to manipulate data, re... » read more

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