Packaging And Package Design For AI At The Edge


Industrial applications will acquire significantly more data directly from machines in coming years. To properly handle this increase in data, it must already be prepared at the machine. The data of the individual sensors can be processed, or an initial data merger can take place here at the so-called “edge.” Algorithms and methods from the field of artificial intelligence increasingly a... » read more

Battling Persistent Hacks At The Flash Level


Hardware vendors are beginning to close up security vulnerabilities across a broader range of technology than in the past, a sign that they are taking potential hardware breaches much more seriously. Awareness of security flaws has been growing since the introduction of Meltdown, Spectre and Foreshadow, and more recently, the Cable Haunt attack. The general conclusion among chipmakers is tha... » read more

An Increasingly Complicated Relationship With Memory


The relationship between a processor and its memory used to be quite simple, but in modern SoCs there are multiple heterogeneous processors and accelerators, each needing a different means of accessing memory for maximum efficiency. Compromises are being made in order to preserve the unified programming model of the past, but the pressures are increasing for some fundamental changes. It does... » read more

Where Timing And Voltage Intersect


João Geada, chief technologist at ANSYS, talks about the limitations for power delivery networks and what processors can handle, why the current solutions to these issues are causing failures, and how voltage reduction can affect timing. » read more

Thinking About AI Power In Parallel


Most AI chips being developed today run highly parallel series of multiply/accumulate (MAC) operations. More processors and accelerators equate to better performance. This is why it's not uncommon to see chipmakers stitching together multiple die that are larger than a single reticle. It's also one of the reasons so much attention is being paid to moving to the next process node. It's not ne... » read more

How AI In Edge Computing Drives 5G And The IoT


Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

Changes In AI SoCs


Kurt Shuler, vice president of marketing at ArterisIP, talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling of both hardware and software together. » read more

Going On the Edge


Emmanuel Sabonnadière, chief executive of Leti, sat down with Semiconductor Engineering to talk about artificial intelligence (AI), edge computing and chip technologies. What follows are excerpts of that conversation. SE: Where is AI going in the future? Sabonnadière: I am a strong believer that edge AI will change our lives. Today’s microelectronics are organized with 80% of things i... » read more

Priorities Shift In IC Design


The rush to the edge and new applications around AI are causing a shift in design strategies toward the highest performance per watt, rather than the highest performance or lowest power. This may sound like hair-splitting, but it has set a scramble in motion around how to process more data more quickly without just relying on faster processors and accelerators. Several factors are driving th... » read more

Auto Industry Shifts Gears On Where Data Gets Processed


In-vehicle processing is becoming a major challenge in automotive electronics due to the massive amount of data being generated by sensors — especially cameras — and the rapid response time required to avoid accidents. The initial idea that all data could be sent to the cloud for processing has been shelved, most likely permanently. In its place is a growing recognition that data needs t... » read more

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