tag: deep learning

Deep Learning (DL) Applications In Photomask To Wafer Semiconductor Manufacturing
By eBeam Initiative - 17 Mar, 2021 - Comments: 0

The Survey: 2021 Deep Learning Applications List by eBeam Initiative members is a list of current deep learning efforts that are being used in photomask to wafer semiconductor manufacturing. Examples come from ASML, D2S, Fraunhofer IPMS, Hitachi High-Tech Corporation, imec, Siemens Industries Software, Inc., Siemens EDA, STMicroelectronics, and TASMIT. Published by the eBeam Initiative Membe... » read more

Single Chip Auto-Valet Parking System with TDA4VMID SoC
By Technical Paper Link - 15 Feb, 2021 - Comments: 0

Abstract "Auto-Valet parking is a key emerging function for Advanced Driver Assistance Systems (ADAS) enhancing traditional surround view system providing more autonomy during parking scenario. Auto-Valet parking system is typically built using multiple HW components e.g. ISP, micro-controllers, FPGAs, GPU, Ethernet/PCIe switch etc. Texas Instrument’s new Jacinto7 platform is one of industry... » read more

Hidden Costs In Faster, Low-Power AI Systems
By Ed Sperling - 20 Jan, 2021 - Comments: 1

Chipmakers are building orders of magnitude better performance and energy efficiency into smart devices, but to achieve those goals they also are making tradeoffs that will have far-reaching, long-lasting, and in some cases unknown impacts. Much of this activity is a direct result of pushing intelligence out to the edge, where it is needed to process, sort, and manage massive increases in da... » read more

PowerPlanningDL: Reliability-Aware Framework for On-Chip Power Grid Design using Deep Learning
By Technical Paper Link - 31 Dec, 2020 - Comments: 0

Academic research paper from Dept. of CSE, IIT Guwahatim, India. Abstract: "With the increase in the complexity of chip designs, VLSI physical design has become a time-consuming task, which is an iterative design process. Power planning is that part of the floorplanning in VLSI physical design where power grid networks are designed in order to provide adequate power to all the underlying ... » read more

AI And High-NA EUV At 3/2/1nm
By Mark LaPedus - 16 Dec, 2020 - Comments: 1

Semiconductor Engineering sat down to discuss lithography and photomask issues with Bryan Kasprowicz, director of technology and strategy and a distinguished member of the technical staff at Photronics; Harry Levinson, principal at HJL Lithography; Noriaki Nakayamada, senior technologist at NuFlare; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. To vie... » read more

What’s Next In AI, Chips And Masks
By Mark LaPedus - 19 Nov, 2020 - Comments: 0

Aki Fujimura, chief executive of D2S, sat down with Semiconductor Engineering to talk about AI and Moore’s Law, lithography, and photomask technologies. What follows are excerpts of that conversation. SE: In the eBeam Initiative’s recent Luminary Survey, the participants had some interesting observations about the outlook for the photomask market. What were those observations? Fujimur... » read more

Deploying Accurate Always-On Face Unlock
By Arm - 11 Nov, 2020 - Comments: 0

Accurate face verification has long been considered a challenge due to the number of variables, ranging from lighting to pose and facial expression. This white paper looks at a new approach — combining classic and modern machine learning (deep learning) techniques — that achieves 98.36% accuracy, running efficiently on Arm ML-optimized platforms, and addressing key security issues such a... » read more

3 Types Of AI Hardware
By Ed Sperling - 20 Jul, 2020 - Comments: 1

As AI chips become more pervasive, three primary approaches are moving to the forefront. Bradley Geden, director of product marketing at Synopsys, looks at how to take advantage of repeatability, what the different flavors look like, the difference between flat and hierarchical design, and what impact black-box arrays have on programmability. » read more

It’s Eternal Spring For AI
By Rama Chellappa - 14 Jul, 2020 - Comments: 0

The field of Artificial Intelligence (AI) has had many ups and downs largely due to unrealistic expectations created by everyone involved including researchers, sponsors, developers, and even consumers. The “reemergence” of AI has lot to do with recent developments in supporting technologies and fields such as sensors, computing at macro and micro scales, communication networks and progre... » read more

Winners And Losers At The Edge
By Ed Sperling - 01 Jul, 2020 - Comments: 0

The edge is a vast collection of niches tied to narrow vertical markets, and it is likely to stay that way for years to come. This is both good and bad for semiconductor companies, depending upon where they sit in the ecosystem and their ability to adapt to a constantly shifting landscape. Some segments will see continued or new growth, including EDA, manufacturing equipment, IP, security an... » read more

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