Chiplets: A Solution For The Shortage Of Chips


These days, there are new reports on the shortage of chips almost every day. Currently, this issue is affecting mainly car manufacturers such as Audi, Ford, and more. But other system manufacturers, such as in the machine construction industry, are also facing this challenge. Even manufacturers of mass-produced articles such as game consoles are reporting the same problems. The problem is sure ... » read more

11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

AnastASICA — Towards Structured and Automated Analog/Mixed-Signal IC Design For Automotive Electronics


In our world based on electronics, the design of analog/mixed-signal (AMS) ICs is still mainly done manually. While digital design benefits from complete synthesis flows, analog lags far behind in terms of development time, cost, and risk. Analog design flows are hardly standardized and necessitate the four eye principle as important quality tool. Thus, highly experienced designers who incorpor... » read more

Steep Spike For Chip Complexity And Unknowns


Cramming more and different kinds of processors and memories onto a die or into a package is causing the number of unknowns and the complexity of those designs to skyrocket. There are good reasons for combining all of these different devices into an SoC or advanced package. They increase functionality and can offer big improvements in performance and power that are no longer available just b... » read more

Putting Limits On What AI Systems Can Do


New techniques and approaches are starting to be applied to AI and machine learning to ensure they function within acceptable parameters, only doing what they're supposed to do. Getting AI/ML/DL systems to work has been one of the biggest leaps in technology in recent years, but understanding how to control and optimize them as they adapt isn't nearly as far along. These systems are generall... » read more

Interconnects In A Domain-Specific World


Moving data around is probably the least interesting aspect of system design, but it is one of three legs that defines the key performance indicators (KPI) for a system. Computation, memory, and interconnect all need to be balanced. Otherwise, resources are wasted and performance is lost. The problem is that the interconnect is rarely seen as a contributor to system functionality. It is seen... » read more

Improving Industrial Processes


Industrial image processing is one of the most important drivers of manufacturing automation today. The requirements on the cameras differ considerably depending on the application. Different measurement methods (2D, 2.5D, 3D), spatial and temporal resolution and scan rates can be employed. The resolution and dynamic range of the sensor are critical for optical inspection on manufacturing lines... » read more

Automated Traceability Of Requirements In The Design And Verification Process Of Safety-Critical Mixed-Signal Systems


System-level design and verification of safety-critical hardware requires a consistent methodology which complies with industrial safety-standards, for example ISO 26262 for automotive applications. For certification of safety-critical systems, the development process has to implement and enforce a strict traceability of requirements, linking the requirement specification, the design implementa... » read more

AI In Inspection, Metrology, And Test


AI/ML is creeping into multiple processes within the fab and packaging houses, although not necessarily for the purpose it was originally intended. The chip industry is just beginning to learn where AI makes sense and where it doesn't. In general, AI works best as a tool in the hands of someone with deep domain expertise. AI can do certain things well, particularly when it comes to pattern m... » read more

New Uses For AI


AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, b... » read more

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