AI

The second part of this feature looks at how Wave Computing's objectives with its dataflow processing unit for AI mapped to the use of emulation in its development.

An increasing number of AI players are building their own silicon and finding that emulation is key to overcoming the major challenges.

Lauro Rizzatti gets a reality check on AI for both design tools and designs themselves from the formal verification specialist.

Artificial intelligence and machine learning require the performance and flexibility offered by embedded FPGA (eFPGA) technology.

In an exclusive interview, Lauro Rizzatti discusses the increasing verification challenges for drone SoCs with Bo Shen, founder of fabless specialist Artosyn.

Using specialised processors to implement key AI computation tasks such as CNNs.

An alphabet soup of AI, HPC, 5G and the IoT has finally seeded creation of a design infrastructure for silicon photonics.

Our new columnist introduces himself and traces the progress of formal verification over the last two decades. Join the discussion.

This second part looks at Mentor's views on flow neutrality, how DRS360 was born, machine learning and the threat from embedded Trojans.