AI for cameras acoustics in purchaser electronics HPC hardware configuration RF filters planning circuits with AI.
Synopsys’ Ron Lowman examines the various neural networks used in digicam apps, the balancing act involving digicam lens selection and neural networks carried out, and how IP and embedded vision processors aid enhance the designs.
Siemens’ Katie Tormala considers the great importance of acoustic effectiveness in customer electronics and why it’s crucial to realize the associations involving thermal, structural, vibration and acoustic performance starting off at the ideation period.
Cadence’s Vinod Khera appears to be at the role edge AI could play in the foreseeable future of healthcare, which includes detecting inbound links concerning genetic codes, working with surgical robots, enhanced analysis, and maximizing hospital effectiveness.
Ansys’ Wim Slagter points to some critical concerns when selecting the correct superior-overall performance computing (HPC) processor and components configuration for engineering simulation workflows to assure exceptional overall performance.
Lam Research’s David Haynes, Daniel Shin, and Lidia Vereen examine how radio frequency filters for Wi-Fi 6 and 5G units permit alerts in the band to be divided and describe a critical move in RF filter producing.
Renesas’ Tsahi Tal considers the advantages of including a committed listening radio in a Wi-Fi Obtain Point, particularly in conditions exactly where there are a number of networks, as in a multi-family dwelling, or spots with a multi-AP mesh network.
SEMI’s Serena Brischetto chats with Antoine Amade of Entegris about bridging the gap involving semiconductor layout and process engineering and collaboration concerning the semiconductor and automotive industries in get to enable progress semiconductor producing for automotive gadgets.
A Rambus author checks out what is new in DDR5 and how a smarter DIMM can help increase knowledge amount and support significant capability DRAM units.
Arm’s Chloe Jian Ma notes some essential tendencies in cloud and company storage and disk drives, this sort of as greater capacities and far more specialized storage tiers, increased general performance interfaces, and extra compute around storage.
Nvidia’s Rajarshi Roy, Jonathan Raiman, and Saad Godil focus on using reinforcement finding out to style arithmetic circuits for the company’s Hopper GPU architecture, significantly concentrating on optimizing the tradeoff amongst circuit region and delay in prefix circuits.
Onsemi’s Majid Dadafshar appears to be inside a CMOS picture sensor to determine some important aspects to be conscious of when planning a ability offer resolution to assist them.
In addition, test out the blogs featured in the newest Low Electricity-Higher Overall performance newsletter:
Fraunhofer IIS EAS’s André Lange shines a gentle on how particular person transistors degrade in the course of normal procedure and how these alterations impact the circuit’s all round conduct.
Synopsys’ Gary Ruggles reveals how new SSD kind components can consider gain of better knowledge costs and much more traces.
Arm’s Remy Pottier examines the driving forces driving the metaverse and which purposes could arise first.
Rambus’ Emma-Jane Crozier clarifies how to reduce latency in head-mounted displays with video compression.
Cadence’s Shyam Sharma seems at why various methods are essential to deal with details errors in the hottest high-velocity reminiscences.
Ansys’ Kelly Morgan warns that thermal fatigue can outcome in warpage, solder weak spot, breaking or cracking, and ultimately in general merchandise failure.
Synopsys’ Ricardo Borges and Anand Thiruvengadam describe why optimizing memory at advanced nodes involves it to be developed in the context of other engineering.
Jesse Allen is the Information Middle administrator and a senior editor at Semiconductor Engineering.