Using AI In Chip Manufacturing


David Fried, CTO at Coventor, a Lam Research Company, sat down with Semiconductor Engineering to talk about how AI and Big Data techniques will be used to improve yield and quality in chip manufacturing. What follows are excerpts of that conversation. SE: We used to think about manufacturing data in terms of outliers, but as tolerances become tighter at each new node that data may need to b... » read more

Week in Review: IoT, Security, Auto


Cybersecurity Check Point Software Technologies reports that facsimile machines (yes, people still use them!) can be subject to hacking through vulnerabilities in their communication protocols. The HP Officejet Pro All-in-One fax printers and other fax machines can be compromised with a hacker only knowing a fax number, according to the company. Check Point Research says a design flaw in Andro... » read more

Optimizing 5G With AI At The Edge


AI touches our lives in many different ways, and while some AI-enabled applications are highly visible, like the increasingly popular Amazon Echo and Google Home voice-controlled intelligent digital assistants, others are less obvious. But by no means are they less important. For example, AI techniques are essential to the successful rollout of 5G wireless communications. 5G is the develop... » read more

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

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