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

AI’s Long-Term Impact


Artificial intelligence technology will have a significant impact on the world’s economy in the months and years ahead, the McKinsey Global Institute forecasts in a new report. Certain companies and some countries will greatly benefit in the new era of AI, leaving others behind, the business and economics research arm of McKinsey & Co. predicts. The key takeaway points of the report: ... » read more

Security Holes In Machine Learning And AI


Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » read more

Toward IIoT Security Standards


Security is a high priority within Industrial IoT projects, but it is advancing like the rest of the industry—inconsistently, with big gaps between the leaders and everyone else. That isn't unique to one or two industrial segments. It applies to all of them, and even to slices within particularly industries. "There is some confusion about security because it's not just the IT issues," s... » read more

Challenges At The Edge


By Kevin Fogarty and Ed Sperling Edge computing is inching toward the mainstream as the tech industry begins grappling with the fact that far too much data will be generated by sensors to send everything back to the cloud for processing. The initial idea behind the IoT/IIoT, as well as other connected devices, was that simple sensors would relay raw data to the cloud for processing throug... » read more

← Older posts