We all love coming up with ideas and solutions to problems, but if we do not carefully consider our approach to the development of the solution, what we manufacture may not meet the client’s needs.
There are a host of hardware accelerators for various machine-learning ML models. To wit, Renesas has come up with a ternary SRAM-based system to accelerate convolutional-neural-network (CNN) ...
Creating a successful product involves a series of planned steps, each contributing to a well designed outcome. From initial ideas to final evaluation, every stage builds on the last, ensuring the ...
Have you ever thought about how and why something was designed? Who was considered a “stakeholder” for the design? And what biases are baked within the process of designing something? These are some ...
Video standards and methods of encoding/decoding have made tremendous progress over the last decade with the availability of large system-on-a-chip (SOC) solutions using ASSPs, ASICs, or FPGAs. The ...
Power plants are engineered with precision down to the smallest detail, yet one critical variable is often considered too ...
In any design verification project, many times, there is a need to control certain functional threads in parallel. Such threads can be used to control simultaneous stimuluses, to monitor activities on ...
Identify needs, which may include the learning context and audience. How do you get there? Start with writing goals and learning objectives, then focus on assessments, learning activities, and ...
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