Architects Firmly In Control


Moore's Law isn't dead, but it certainly isn't what it used to be. While there may be three or four more generations of node shrinks ahead, the power/performance benefits of scaling are falling off. This is evident in new chip architectures that were introduced at this year's Hot Chips conference. Originally started to show off the latest CPUs and co-processors, in past years the focus has b... » read more

Big Changes For Mainstream Chip Architectures


Chipmakers are working on new architectures that significantly increase the amount of data that can be processed per watt and per clock cycle, setting the stage for one of the biggest shifts in chip architectures in decades. All of the major chipmakers and systems vendors are changing direction, setting off an architectural race that includes everything from how data is read and written in m... » read more

The New Deep Learning Memory Architectures You Should Know About


Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, ... » read more

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

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