It is clear that FPGAs are great for prototyping and low-volume production. It's also clear, however, that any relatively complex mid- to high-volume design for which power consumption, component cost ...
Perhaps you are designing an embedded inference engine for edge computing. Or you are taking the next step in automotive vision processing. Or maybe you have an insight that can challenge Nvidia and ...
SDVoE Alliance President, Justin Kennington shares his perspective on how FPGA versus ASIC chips impacts the product supply chain in the AV industry. When you purchase through links on our site, we ...
Electronic News sat down with Jeff Jussel, VP of marketing at Celoxica; Babek Hedayati, senior director of product solutions marketing at Xilinx; and Aiden Kelly, manager of ASIC methodology at IBM ...
Embedded World 2025 officially commenced this week in Nuremberg, Germany, with Sandra Rivera, CEO of FPGA company Altera, delivering the keynote address. In her presentation, Rivera discussed key ...
Intel debuted two infrastructure processing units (IPUs) alongside an updated acceleration development platform during its annual Architecture Day this week. Intel first teased the IPUs — what the ...
US-based FPGA maker Lattice Semiconductor held its annual Developers Conference this week, during which the company announced its latest Nexus 2 platform and expansions to its mid-range Avant platform ...
Heard about Structured ASICs but aren't sure exactly what they are and how to use them. In this edition of REFRESH! EEPN contributing editor, Andrew Leone, gives you a guided tour of these devices and ...
NATICK, Mass.--(BUSINESS WIRE)--MathWorks today announced that HDL Verifier provides support for the Universal Verification Methodology (UVM) starting with Release 2019b, which is currently available.
Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. When it comes to major ...
AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a ...
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