How AI/ML Improves Fab Operations


Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doub... » read more

Chip Industry Heads Toward $1T


The chip industry is on track to hit $1 trillion sometime over the next decade, and while the exact timing depends on a variety of factors, the trend line appears to be stable. The digitization of data, the digitalization of technology, and the expansion into new and existing markets, collectively are expected to drive chip industry growth for years to come. Exactly when the IC world will to... » read more

The Good And Bad Of Auto IC Updates


Keeping automobiles updated enough to avoid problems is becoming increasingly difficult as more complex electronics are added into vehicles, and as the lifetimes of those devices are extended to a decade or more. Modern vehicles are full of electronics. In fact, the value of electronic devices used in modern vehicles is expected to double in the next 10 years, growing to $469 billion by 2030... » read more

Big Growth Areas: Connectivity, AI, Reliability


Connectivity and artificial intelligence (AI) will be the biggest drivers for 2020, with an emphasis on improved reliability across all areas. New standards, new applications, and new pressures being placed on old technology will created boundless opportunities for those ready to fill the need. Of course, there will also be a lot of carnage along the way, and we can expect to see a lot of that ... » read more

Using Machine Learning In Fabs


Amid the shift towards more complex chips at advanced nodes, many chipmakers are exploring or turning to advanced forms of machine learning to help solve some big challenges in IC production. A subset of artificial intelligence (AI), machine learning, uses advanced algorithms in systems to recognize patterns in data as well as to learn and make predictions about the information. In the fab, ... » read more

Week in Review: IoT, Security, Autos


Products/Services Siemens announced that Mazda Motor adopted the Capital electrical design software suite from Mentor, a Siemens Business, for the design of next-generation automotive electrical systems. Mazda is said to use Capital for model-based generative design for the electrical and electronic systems of the entire vehicle platform. Synopsys will host the 11th annual Codenomi-con USA ... » read more

Week in Review: IoT, Security, Auto


Products/Services Arteris IP reports that Bitmain licensed the Arteris Ncore Cache Coherent Interconnect intellectual property for use in its next-generation Sophon Tensor Processing Unit system-on-a-chip devices for the scalable hardware acceleration of artificial intelligence and machine learning algorithms. “Our choice of interconnect IP became more important as we continued to increase t... » read more

Micro-Mobility Market Potential Widens


The mobility market is beginning to splinter into more segments as advanced technology gets applied to devices such as e-bikes, e-scooters, and even tiny e-vehicles with three or four wheels. This doesn't mean that existing pieces of the mobility market are falling off. The automotive electronics market is booming as carmakers race to build more assisted and ultimately autonomous features in... » read more

Week in Review: IoT, Security, Auto


Internet of Things McKinsey & Company identified 10 top trends in the Internet of Things. They include: IoT is a business opportunity, not just a tech opportunity; disciplined execution across multiple use cases is the path to value; and IoT is gradually enabling more subscription business models, but consumers are resistant. Louis Columbus of IQMS provides some IoT data points and id... » read more

IoT Merging Into Data-Driven Design


The Internet of Things is becoming more difficult to define and utilize for an effective business strategy. While an increasing number devices send data to the cloud or some local server, so much data is being generated and moved around that new strategies are being developed to rethink what needs to be processed where. Back in 2013, when the IoT concept really began taking off, connectivity... » read more

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