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

Computing Where Data Resides


Computational storage is starting to gain traction as system architects come to grips with the rising performance, energy and latency impacts of moving large amounts of data between processors and hierarchical memory and storage. According to IDC, the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025. But that data is essentially useless unless it is analyzed or some amou... » read more

Waiting For Chiplet Standards


The need and desire for chiplets is increasing, but for most companies that shift will happen slowly until proven standards are in place. Interoperability and compatibility depend on many layers and segments of the supply chain coming to agreement. Unfortunately, fragmented industry requirements may lead to a plethora of solutions. Standards always have enabled increasing specialization. ... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Infineon announced it has a Trusted Platform Module (TPM 2.0), called OPTIGA TPM 2.0, used to secure remote software updates, disc encryption, and user authentication on Linux-based systems. OPTIGA is an open software stack for securing comprehensive TSS* host software implementing the latest FAPI standard. Infineon developed the open-source software with Intel Corporation and Fraunho... » read more

Firmware Skills Shortage


Good hardware without good software is a waste of silicon, but with so many new processors and accelerator architectures being created, and so many new skills required, companies are finding it hard to hire enough engineers with low-level software expertise to satisfy the demand. Writing compilers, mappers and optimization software does not have the same level of pizazz as developing new AI ... » read more

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