Research Bits: July 6


Neural net predicts semiconductor properties Researchers from the Institute of Science Tokyo, Yokohama City University, and National Sun Yat-sen University devised a tandem neural network capable of quickly inferring key physical parameters of semiconductor materials from simple transistor measurements. The approach uses two machine learning models linked in series. The first model tries to... » read more

Securing Camera Data: Introducing The MIPI CSE 2.0 Security Solution


By Dana Neustadter and Mehak Kalra High‑performance imaging has become a cornerstone of modern electronic systems. From mobile phones to advanced driver‑assistance systems (ADAS) and autonomous driving to robotics, extended reality (xR), medical devices, and industrial automation, cameras and imaging sensors are proliferating rapidly. These systems increasingly rely on MIPI Camera Serial... » read more

Research Bits: June 23


Redesigning high-NA EUV A researcher from the Okinawa Institute of Science and Technology (OIST) proposes redesigning the illumination systems and projectors used in high-NA EUV lithography to reduce optical effects and enhance resolution. In the proposed projector design, the collector mirrors in the illumination system have a simpler design to bring short wavelengths of light from the EUV... » read more

Scaling ADAS To 10+ Cameras


By WonBae Bang, KiDong Sim, Weilung Lu, and Adrian Arcedera Introduction Advanced Driver Assistance Systems (ADAS) are increasingly adopted by automotive manufacturers to enhance driving safety. These systems help drivers in the driving process, thereby increasing car and road safety. ADAS technologies include features such as adaptive cruise control, lane departure warning and automatic emer... » read more

Silicon Photonics: Integrated Grating-Based Antennas for Optical Phased Arrays (MIT)


A new technical paper, "Reduced-crosstalk antennas for grating-lobe-free and wide-field-of-view integrated optical phased arrays," was published by researchers at MIT. Abstract "Integrated optical phased arrays (OPAs) have emerged as a promising technology for many applications due to their ability to dynamically control free-space optical beams in a compact and non-mechanical manner. How... » read more

The Specialty Device Surge Part 3: Solving The Process Control Challenges Of MEMS, Photonics, Co-Packaged Optics, And More


Every day, consumers rely on an invisible network of specialty semiconductor devices without realizing it. The smartphone in your pocket is a good place to start. It knows when you rotate the screen thanks to MEMS sensors, and its camera delivers crisp images through advanced CMOS image sensors. Meanwhile, fast charging technology, wireless connectivity, facial recognition, and high-frequency c... » read more

Humanoid Touch And Voice Are Improving Rapidly


Key Takeaways Humanoid robots are rapidly expanding beyond factories and logistics toward broader, general-purpose roles (including in-home assistance), driven by advances in AI and sensing. Compared with vision and language, touch (haptics) and hearing/voice in real environments remain the hardest — and most commercially important — sensing challenges, requiring fast sensor fusio... » read more

Why Hardware Monitoring Needs Infrastructure, Not Just Sensors


Chipmakers need comprehensive hardware monitoring, with monitors (Agents) and sensors distributed throughout their devices, to manage the growing complexity and scale of modern SoCs. As designs now incorporate billions of transistors, multiple power and clock domains, and advanced process technologies, traditional characterization, test, and guard-banding approaches no longer provide sufficient... » read more

The Specialty Device Surge Part 2: The Process Control Challenges Of MEMS, Co-Packaged Optics, And More


In a world where high-bandwidth memory, GPUs, and advanced AI packages are all the rage, it is easy to forget the important role specialty devices play. These unsung heroes of modern life perform critical functions across a wide range of industries, including automotive, telecommunications, data centers, emerging AI hardware ecosystems, and consumer electronics, just like the smartphone in your... » read more

Enabling Physical AI and Robotics: Platform for the Intelligent Edge


Physical AI has emerged as an essential technology driving the future of robotics — it closes the loop between perception, reasoning, and action in the real world using powerfully trained AI models. But for robots and autonomous machines, that loop only works well if it runs where the world is actually sensed: at the Edge. Instead of streaming raw sensor data to a data center for interpretati... » read more

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