Countering low-cost attacks; code clarity; HPC growth; analyzing RF.
Rambus’ Scott Best digs into low-cost attacks against security chips that are often used to gauge how resistant and well-designed they are and defensive countermeasures that can be taken.
Mentor’s Colin Walls urges embedded developers to put a priority on writing clear, maintainable code and considers when using a higher level language like C++ may be helpful.
Synopsys’ Scott Knowlton finds the pandemic accelerating demand for high-performance computing as people shift to online services and spend more time at home and online.
Cadence’s Paul McLellan takes a look at what goes into analyzing on-chip RF passive components with electromagnetic simulation.
Arm’s Emre Ozer contends that flexible electronics will be needed to add intelligence to everyday objects and introduces work on a microprocessor with thin-film transistors on a flexible substrate.
Ansys’ Kaitlin Tyler argues that there’s a role for art in STEM education by getting students to think creatively, a skill employers have put in high demand.
In a blog for SEMI, Walt Custer of Custer Consulting peers into the looking glass to see what the second half of the year might hold, with semiconductor capital equipment and foundry sales both growing, albeit more slowly.
For a change from reading, check out one of our latest videos:
Learn how memory choices affect power and performance in Memory Access In AI Systems.
eFPGAs Vs. FPGA Chiplets explores which approach works best where.
Ins And Outs Of In-Circuit Monitoring introduces techniques to predict failures and improve reliability.
All AI chips are not the same, but the commonalities are discussed in 3 Types Of AI Hardware.
 |
 |
 |
 |
 |
 |
 |
 |
 |  |
Leave a Reply