Big Shifts In Tech Conferences


By Ed Sperling and Katherine Derbyshire Identifying central themes in technology conferences, or finding enough latitude where the theme is extremely well defined, is becoming challenging throughout the tech industry. Throughout the semiconductor industry, in particular, many are asking how various organizations will differentiate conferences in the future and who will be the target audience... » read more

AI Architectures Must Change


Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

Week in Review: IoT, Security, Auto


Cybersecurity Jens (Atom) Steube, a cybersecurity researcher and creator of the Hashcat password cracking tool, was probing for vulnerabilities in the new WPA3 security standard for Wi-Fi routers. WPA3 presents a robust defense against hacking, yet Steube discovered a security flaw in routers using WPA/WPA2 – one that leaves Wi-Fi passwords enabled with Pairwise Master Key Identifiers vulner... » read more

High-Performance Memory At Low Cost Per Bit


Hardware developers of deep learning neural networks (DNN) have a universal complaint – they need more and more memory capacity with high performance, low cost and low power. As artificial intelligence (AI) techniques gain wider adoption, their complexity and training requirements also increase. Large and complex DNN models do not fit on the small on-chip SRAM caches near the processor. This ... » read more

Impact Of IP On AI SoCs


The combination of mathematics and processing capability has set in motion a new generation of technology advancements with an entire new world of possibilities related to Artificial Intelligence. AI mimics human behavior using deep learning algorithms. Neural networks are what we define as deep learning, which is a subset of machine learning, which is yet a subset of AI, as shown in Figure 1. ... » read more

Pace Quickens As Machine Learning Moves To The Edge


Artificial intelligence applications are rapidly changing the way society engages with technology. It wasn’t too long ago that your smart phone couldn’t recognize your face or your thumbprint. It also wasn’t too long ago that Alexa wasn’t helping you navigate your day so easily. And not too long ago, odds are, you weren’t developing an application or device that had AI/ML as its ce... » read more

Scalable, Cloud-Ready IC Validator Solution For Advanced DRC Nodes


As we move to a data-centric world, semiconductor companies across the globe are working at a furious pace to develop and manufacture Artificial Intelligent [AI] chips. AI is all about an algorithm that mimics a human’s ability to learn and decide. For example, AI can be used to interpret and understand an image that helps a doctor make a better diagnosis for a patient. This requires chips to... » read more

Blog Review: Aug. 8


Cadence's Meera Collier provides a primer on the basics of quantum computing, including how quantum gates work using superpositions and how it could impact chip design. Mentor's Dennis Brophy shares a list of resources to help you get up to speed on the recently-approved Portable Test and Stimulus standard, which enables test scenarios to be run across different execution platforms. Synop... » read more

AI, ML Chip Choices


Flex Logix’s Cheng Wang talks about which types of chips work best for neural networks, AI and machine learning. https://youtu.be/k7OdP7B10o8 » read more

Some Human Musings On Machine Learning


Throughout our semiconductor industry, there are examples of binary balance. By that, I’m not just referring to the 1s and 0s in binary code. This balance also applies to n-well and p-well device features or the deposition and etching of materials on a wafer. This duality is present in our human makeup, too. We use both hard intellect and intangible feeling in recognizing challenges, findi... » read more

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