tag: AI

Real-Time Low Light Video Enhancement Using Neural Networks On Mobile
By Ayaan Masood - 17 Oct, 2024 - Comments: 0

Video conferencing is a ubiquitous tool for communication, especially for remote work and social interactions. However, it is not always a straightforward plug and play experience, as adjustments may be needed to ensure a good audio and video setup. Lighting is one such factor that can be tricky to get right. A nicely illuminated video feed looks presentable in a meeting, but on the other hand,... » read more

Mass Customization For AI Inference
By Ann Mutschler - 17 Oct, 2024 - Comments: 0

Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating some novel approaches that include some of both. By all accounts, a general-purpose approach to AI processing is not meeting the grade. General-purpose processors are exactly that. They're not des... » read more

Big Changes In Optical Inspection
By Ed Sperling - 16 Oct, 2024 - Comments: 0

Optical inspection always has been the workhorse technology for finding defects in chips. It's fast, cost-efficient, and generally reliable enough for most chips. But as logic scales into the angstrom range, and as systems become collections of chiplets, optical inspection needs to be combined with other types of inspection such as X-ray and acoustic. Kyle Vander Schaaf, application engineer at... » read more

ML Model Usage For Various Life Stages Of Semiconductor Test
By Shinji Hioki - 15 Oct, 2024 - Comments: 0

By Shinji Hioki and Ken Butler From development through high volume manufacturing (HVM), semiconductor manufacturers’ pain points change based on the life stages. Each stage requires different types of applications to help with business needs. At the early stage, where the design and process are still immature, understanding the root causes of maverick material and implementing fixes is th... » read more

Survey: HW SW Co-Design Approaches Tailored to LLMs
By Technical Paper Link - 11 Oct, 2024 - Comments: 0

A new technical paper titled "A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models" was published by researchers at Duke University and Johns Hopkins University. Abstract "The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language proce... » read more

Chip Industry Week In Review
By The SE Staff - 11 Oct, 2024 - Comments: 0

Imec announced a new automotive chiplet consortium to evaluate which different architectures and packaging technologies are best for automotive applications. Initial members includes Arm, ASE, Cadence, Siemens, Synopsys, Bosch, BMW, Tenstorrent, Valeo, and SiliconAuto. Imec also launched star, a global network bringing together automotive and semiconductor innovators to address technological c... » read more

Paving The Way For Sustainable AI
By Infineon - 10 Oct, 2024 - Comments: 0

Real-time requirements and the need for power-efficiency, security and privacy drives AI-processing at the edge. Key benefits of Edge AI include: -Low latency and real-time response -High power efficiency -Improved security and data privacy -Reduced cost A complementary set of AI-specific products and solutions, an end-to-end ML platform as well as an extensive application kno... » read more

The Cost Of EDA Data Storage And Processing Efficiency
By Adam Kovac - 09 Oct, 2024 - Comments: 0

Engineering teams are turning to the cloud to process and store increasing amounts of EDA data, but while the compute resources in hyperscale data centers are virtually unlimited, the move can add costs, slow access to data, and raise new concerns about sustainability. For complex chip designs, the elasticity of the cloud is a huge bonus. With advanced-node chips and packaging, the amount of... » read more

Chip Industry Week In Review
By The SE Staff - 27 Sep, 2024 - Comments: 0

Global spending on 300mm fab equipment is expected to reach a record US$400 billion from 2025 to 2027, according to SEMI. Key drivers are the regionalization of semiconductor fabs and the increasing demand for AI chips in data centers and edge devices, with China, South Korea, and Taiwan leading the way. The Biden-Harris Administration launched the National Semiconductor Technology Center’... » read more

Using AI To Glue Disparate IC Ecosystem Data
By Ed Sperling and Ann Mutschler - 26 Sep, 2024 - Comments: 0

AI holds the potential to change how companies interact throughout the global semiconductor ecosystem, gluing together different data types and processes that can be shared between companies that in the past had little or no direct connections. Chipmakers always have used abstraction layers to see the bigger picture of how the various components of a chip go together, allowing them to pinpoi... » read more

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