tag: machine learning

Will Fab Tool Boom Cycle Last?
By Mark LaPedus - 18 Dec, 2017 - Comments: 2

Fab equipment spending is on pace for a record year in 2017, and it now appears that momentum could continue into 2018. Fab tool vendors found themselves in the midst of an unexpected boom cycle in 2017, thanks to enormous demand for equipment in [getkc id="208" comment="3D NAND"] and, to a lesser degree, [getkc id="93" kc_name="DRAM"]. In the logic/foundry business, however, equipment deman... » read more

EDA Challenges Machine Learning
By Brian Bailey - 14 Dec, 2017 - Comments: 1

Over the past few years, [getkc id="305" kc_name="machine learning"] (ML) has evolved from an interesting new approach that allows computers to beat champions at chess and Go, into one that is touted as a panacea for almost everything. While there is clearly a lot of hype surrounding this, it appears that machine learning can produce a better outcome for many tasks in the EDA flow than even the... » read more

System Bits: Dec. 12
By Ann Mutschler - 12 Dec, 2017 - Comments: 0

Increasing performance scaling with packageless processors Demand for increasing performance is far outpacing the capability of traditional methods for performance scaling. Disruptive solutions are needed to advance beyond incremental improvements. Traditionally, processors reside inside packages to enable PCB-based integration. However, a team of researchers from the Department of Electrical ... » read more

The Week in Review: IoT
By Jeff Dorsch - 08 Dec, 2017 - Comments: 0

Products/Services Vancouver, B.C.-based Riot Micro has brought out the RM1000 baseband modem chip for the cellular Internet of Things. The device is said to use Bluetooth Low Energy and Wi-Fi techniques to provide low-power and lower-cost connectivity, like short-range wireless systems. The chip is being marketed to module manufacturers and OEMs developing narrowband IoT and LTE-M products for... » read more

The Week in Review: IoT
By Jeff Dorsch - 01 Dec, 2017 - Comments: 0

Products/Services At this week’s AWS re:Invent conference in Las Vegas, Nevada, Amazon Web Services introduced a number of products and services for the Internet of Things, machine learning, and other areas. These include Amazon FreeRTOS (an operating system for IoT microcontrollers), AWS IoT Device Defender (security management), AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Analytics... » read more

Heterogeneous Cache Coherence Requires A Common Internal Protocol
By Kurt Shuler - 30 Nov, 2017 - Comments: 0

Machine learning and artificial intelligence systems are driving the need for systems-on-chip containing tens or even hundreds of heterogeneous processing cores. As these systems expand in size and complexity, it becomes too difficult to manage data flow solely through software means. An approach that simplifies software while improving performance and power consumption is to implement hardware... » read more

One-On-One: Mike Muller
By Ed Sperling - 30 Nov, 2017 - Comments: 0

Arm CTO Mike Muller sat down with Semiconductor Engineering to discuss a wide range of technology and market shifts, including the impact of machine learning, where new market opportunities will show up and how the semiconductor industry will need to change to embrace them. What follows are excerpts of that conversation. SE: It's getting to the point where instead of just developing chips, w... » read more

Could Liquid IP Lead To Better Chips?
By Brian Bailey - 30 Nov, 2017 - Comments: 0

Semiconductor Engineering sat down to discuss the benefits that could come from making IP available as abstract blocks instead of RTL implementations with Mark Johnstone, technical director for Electronic Design Automation for [getentity id="22499" e_name="NXP"] Semiconductor; [getperson id="11489" p_name="Drew Wingard"], CTO at [getentity id="22605" e_name="Sonics"]; Bryan Bowyer, director of ... » read more

System Bits: Nov. 28
By Ann Mutschler - 28 Nov, 2017 - Comments: 0

Better absorbing materials
 University of Illinois bioengineers have taken a new look at an old tool to help characterize a class of materials called metal organic frameworks (MOFs), used to detect, purify and store gases. The team believes these could help solve some of the world's most challenging energy, environmental and pharmaceutical challenges – and even pull water molecules straigh... » read more

Move Data Or Process In Place? (Part 2)
By Brian Bailey - 20 Nov, 2017 - Comments: 0

Chip architectures, and even local system architectures, long have found that the best way to improve total system performance and power consumption is to move memory as close to processors as possible. This has led to cache architectures and memories that are tuned for those architectures, as discussed in part 1 of this article. But there are several tacit assumptions made in these architectur... » read more

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