Built-In Security For Auto Chips


The road to autonomous vehicles depends upon components that are secured against hacking and other outside interference. The cybersecurity precautions necessary for self-driving cars must be embedded in chips and systems from the beginning of the supply chain. Automotive manufacturers and their Tier 1 suppliers are counting on their electronics vendors to provide products that can withst... » read more

Functional Safety Methodologies For Automotive Applications


Safety-critical automotive applications have stringent demands for functional safety and reliability. Traditionally, functional safety requirements have been managed by car manufacturers and system providers. However, with the increasing complexity of electronics involved, the responsibility of addressing functional safety is now propagating through the supply chain to semiconductor companies a... » read more

New Market Drivers


Semiconductor Engineering sat down to discuss changing market dynamics with Steve Mensor, vice president of marketing for [getentity id="22926" e_name="Achronix"]; Apurva Kalia, vice president of R&D in the System and Verification group of [getentity id="22032" e_name="Cadence"]; Mohammed Kassem, CTO for [getentity id="22910" comment="efabless"]; Matthew Balance, product engineer and techno... » read more

The Week in Review: IoT


Investment Microsoft this week said it will spend $5 billion over four years on Internet of Things programs in research, development, and partner enablement. The company previously spent $1.5 billion on developing IoT technology. The move could pay dividends for the Microsoft Azure cloud platform and lead to wider use of Azure Stack, which pairs Microsoft software with hardware from approved p... » read more

Achieving ISO 26262 Certification With High-Performance Processors


Automotive technology has progressed rapidly and the day when fully autonomous vehicles are prevalent on the roadways is not that far in the future. For driverless vehicles to become the norm, however, safety is paramount, and advanced driver assist systems (ADAS) must adhere to the ISO 26262 functional safety standard for electrical and/or electronic systems in automobiles to ensure the safety... » read more

New Market Drivers


Semiconductor Engineering sat down to discuss changing market dynamics with Steve Mensor, vice president of marketing for [getentity id="22926" e_name="Achronix"]; Apurva Kalia, vice president of R&D in the System and Verification group of [getentity id="22032" e_name="Cadence"]; Mohamed Kassem, CTO for [getentity id="22910" comment="efabless"]; Matthew Balance, product engineer and technol... » read more

The Bumpy Road To 5G


5G is coming, but not everywhere, not all at once, and not the fastest version of this technology right away. In fact, the probable scenario is that 5G will be rolled out first in densely populated urban areas, starting in 2020 or 2021, with increasingly widespread adoption over the next decade after that. But 5G is unlikely to ever completely replace 4G LTE, just as a smart phone today roll... » read more

LiDAR Goes Back To The Future


LiDAR is emerging as an increasingly important piece of the enabling technology in autonomous driving, along with advanced computer vision and radar sensor chips. But LiDAR systems also are finding their way into a variety of other applications, such as industrial automation, including robotics, and unmanned aerial vehicles. Advanced mapping is another rapidly growing market for LiDAR, which... » read more

New Issues In Advanced Packaging


Advanced packaging is gaining in popularity as the cost and complexity of integrating everything onto a planar SoC becomes more difficult and costly at each new node, but ensuring that these packaged die function properly and yield sufficiently isn't so simple. There are a number of factors that are tilting more of the the semiconductor industry toward advanced [getkc id="27" kc_name="packag... » read more

Mobile Machine Learning At Arm


Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency. However, machine learning is typically just one processing stage in complex end-to-end applications, which invol... » read more

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