Just when you thought you knew all the possible foundations for computing, along comes another one. Forget von Neumann, this approach models Ising machines, systems built on solving a statistical ensemble model of ferromagnetism. The concept is quite simple. Imagine a lattice of magnetic dipoles/spins, each of which can only… Read More
Tag: bernard murphy
End-to-End Secure IoT Solutions from ARM
ARM announced today a comprehensive suite of solutions for IoT support, from IP optimized for applications in this space all the way to cloud-based support to manage edge devices in the field. Their motivation is to provide a faster path to secure IoT, from the chip to the cloud. One especially interesting component of this solution… Read More
Disarming Trolls
An unintended consequence of the ubiquity of the Internet, particularly in social media, is the rise of the troll. Trolls post comments of unbelievable vitriol in some cases, comments that if issued in person and in public might lead to arrest and psych evaluations. Then vitriol turns into viral vitriol and the helpless target … Read More
Phish Finding
I wrote recently on the biggest hole in security – us. While sophisticated hacks on hardware and software make for good technology reading, fooling users into opening the front door remains one of the easiest and lowest cost ways for evil-doers to break into our systems. And one of the more popular ways to fool us is phishing in all … Read More
eSilicon Just Made It Easier to Explore Memory Tradeoffs
If you are building an advanced SoC, you know that you’re going to need a lot of embedded memory. Unless this is your first rodeo, you also know that which memories you choose can have a huge impact on Power, Performance and Area (PPA) and, for some applications, Energy (power integrated over time), Temperature and Reliability. Which… Read More
Machine Learning – Turning Up the Sizzle in EDA
There’s always a lot of activity in EDA to innovate and refine specialized algorithms in functional modeling, implementation, verification and many other aspects of design automation. But when Google, Facebook, Amazon, IBM and Microsoft are pushing AI, deep learning, Big Data and cloud technologies, it can be hard not to see… Read More
AI and the black box problem
Deep learning based on neural nets and many other types of machine learning have amazed us with their ability to mimic or exceed human abilities in recognizing features in images, speech and text. That leads us to imagine revolutions in how we interact with the electronic and physical worlds in home automation, autonomous driving,… Read More
The Unreasonable Effectiveness of Neural Nets
In 1960, the Nobel-winning theoretical physicist Eugene Wigner published an article titled “The unreasonable effectiveness of Mathematics in the Natural Sciences”. His point was that, at least in the physical and chemical worlds, mathematics is able to describe the behavior of nature to an uncannily accurate degree, which… Read More
Microsoft, FPGAs and the Evolution of the Datacenter
When we think of datacenters, we think of serried ranks of high-performance servers. Recent announcements from Google (on the Tensor Processing Unit), Facebook and others have opened our eyes to the role that specialized hardware and/or GPUs can play in support of deep/machine learning and big data analytics. But most of us would… Read More
Power Exploration at RTL Design with Mentor PowerPro
There was a comment recently that design for low power is not an event, it’s a process; that comment is absolutely correct. Power is affected by everything in the electronic ecosystem, from application software all the way down to layout and process choices. Yet power as a metric is much more challenging to model and control than … Read More