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Artificial Intelligence
Many of us are now somewhat fluent in IoT-speak, though at times I have to wonder if I’m really up on the latest terminology. Between edge and extreme edge, fog and cloud, not to mention emerging hierarchies in radio access networks – how this all plays out is going to be an interesting game to watch. Ron Lowman, DesignWare IP Product… Read More
After we detect a bug, can we use AI to locate the fault, or at least get close? Paul Cunningham (GM of Verification at Cadence), Jim Hogan and I continue our series on novel research ideas, through a paper in software verification we find equally relevant to hardware. Feel free to comment.
The Innovation
This month’s pick is… Read More
You may have seen a recent announcement from Mentor, a Siemens business, regarding the use of their Tessent DFT software by Ambarella for automotive applications. The announcement is a good example of how Mentor works with their customers to assure design success. On the surface the announcement comes across as a nice block and… Read More
There has been a good deal of publicized chatter about impending cyber attacks at an unprecedented scale and how Artificial Intelligence (AI) could help stop them. Not surprisingly much of the discussion is led by AI vendors in the cybersecurity space. Although they have a vested interest in raising an alarm, they do have a … Read More
Got a great idea for a device with AI at the extreme edge? Self-contained and can run on a coin cell battery, maybe even harvested energy? Needs to fit in a space not much larger than a quarter? Eta Compute has a board for you. This comes with 2 MEMS microphones, a pressure/temperature sensor, a 6-axis MEMS accelerometer/gyroscope,… Read More
Late last year I wrote about Arm’s efforts to play a role in servers, in AWS, and particularly Arm-based supercomputing, in the Sandia Astra roadmap and in partnering with NVIDIA who are in the Oak Ridge Summit supercomputer. These steps came, at least for me, with an implicit “Good for them, playing a role on the edges of these challenging… Read More
There is a famous scene in the 1976 movie Taxi Driver when Robert De Niro’s character Travis is pretending to have a conversation looking in the mirror and repeatedly saying “Are you talking to me?”. I think about this scene every time I use a voice active device – Hey, are you talking to me? Yes, I am, but are you listening?
Voice command,… Read More
A few months ago, I wrote about the announcement of a new digital full flow from Cadence. In that piece, I focused on the machine learning (ML) aspects of the new tool. I had covered a discussion with Cadence’s Paul Cunningham a week before that explored ML in Cadence products, so it was timely to dive into a real-world example of the … Read More
There have been a multitude of announcements recently relative to the incorporation of machine learning (ML) methods into EDA tool algorithms, mostly in the physical implementation flows. For example, deterministic ML-based decision algorithms applied to cell placement and signal interconnect routing promise to expedite… Read More
An Artificial Intelligence (AI) system is only as good as its training. For AI Machine Learning (ML) and Deep Learning (DL) frameworks, the training data sets are a crucial element that defines how the system will operate. Feed it skewed or biased information and it will create a flawed inference engine.
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MediaTek Develops Chip Utilizing TSMC’s 2nm Process, Achieving Milestones in Performance and Power Efficiency