tag: machine learning

Designing 5G Chips
By Ann Steffora Mutschler - 18 Apr, 2018 - Comments: 0

5G is the wireless technology of the future, and it’s coming fast. The technology boasts very high-speed data transfer rates, much lower latency than 4G LTE, and the ability to handle significantly higher densities of devices per cell site. In short, it is the best technology for the massive amount of data that will be generated by sensors in cars, IoT devices, and a growing list of next-g... » read more

The Week in Review: IoT
By Jeff Dorsch - 13 Apr, 2018 - Comments: 0

Finance Palo Alto, Calif.-based Armis raised $30 million in Series B funding, bringing total funding for the provider of enterprise Internet of Things security to $47 million. Red Dot Capital Partners of Israel led the round, joined by Bain Capital Ventures. Existing investors Sequoia Capital and Tenaya Capital also participated in the latest funding, which Armis will use to expand sales and m... » read more

Architecture, Materials And Software
By Ed Sperling - 12 Apr, 2018 - Comments: 0

AI, machine learning and autonomous vehicles will require massive improvements in performance, at the same power consumption level (or better), over today's chips. But it's obvious that the usual approach of shrinking features to improve power/performance isn't going to be sufficient. Scaling will certainly help, particularly on the logic side. More transistors are needed to process a huge i... » read more

AI Signals A New Change Of Perspective
By John Hengeveld - 12 Apr, 2018 - Comments: 0

A very long time ago, I was a student at MIT, programming with card decks in APL on IBM mainframes and studying AI in a class from Patrick Winston (who took over MIT’s AI lab from the legendary Marvin Minsky). I kept the text book as a reminder of where the world would go. Over four titanic shifts, mainframes/card decks became VAX/VT100, thence to IBM PCs and PC clients tied by Ethernet to co... » read more

High-Performance Memory Challenges
By Ann Steffora Mutschler - 12 Apr, 2018 - Comments: 1

Designing memories for high-performance applications is becoming far more complex at 7/5nm. There are more factors to consider, more bottlenecks to contend with, and more tradeoffs required to solve them. One of the biggest challenges is the sheer volume of data that needs to be processed for AI, machine learning or deep learning, or even in classic data center server racks. “The design... » read more

Get Ready For Integrated Silicon Photonics
By Brian Bailey - 12 Apr, 2018 - Comments: 0

Long-haul communications and data centers are huge buyers of photonics components, and that is leading to rapid advances in the technology and opening new markets and opportunities. The industry has to adapt to meet the demands being placed on it and solve the bottlenecks in the design, development and fabrication of integrated [getkc id="41" kc_name="silicon photonics"]. "Look at the networ... » read more

Optimizing Machine Learning Workloads On Power-Efficient Devices
By Arm - 11 Apr, 2018 - Comments: 0

Software frameworks for neural networks, such as TensorFlow, PyTorch, and Caffe, have made it easier to use machine learning as an everyday feature, but it can be difficult to run these frameworks in an embedded environment. Limited budgets for power, memory, and computation can all make this more difficult. At Arm, we’ve developed Arm NN, an inference engine that makes it easier to target di... » read more

Choosing The Right Interconnect
By Ed Sperling - 09 Apr, 2018 - Comments: 3

Efforts to zero in on cheaper advanced packaging approaches that can speed time to market are being sidetracked by a dizzying number of choices. At the center of this frenzy of activity is the [getkc id="36" kc_name="interconnect"]. Current options range from organic, silicon and glass interposers, to bridges that span different die at multiple levels. There also are various fan-out approach... » read more

Artificial, With Questionable Intelligence
By Ed Sperling - 05 Apr, 2018 - Comments: 1

A common theme is emerging in the race to develop big machines that can navigate through a world filled with people, animals, and other assorted objects—if an accident is inevitable, what options are available to machines and how should they decide?   This question was raised at a number of semiconductor industry conferences over the past few weeks, which is interesting because this idea h... » read more

The Week in Review: IoT
By Jeff Dorsch - 30 Mar, 2018 - Comments: 0

Regulation The Consumer Product Safety Commission is accepting public comments on “potential safety issues and hazards associated with Internet-connected consumer products.” The agency is concerned about “unexpected operating conditions” with Internet of Things devices, along with hacking that could start fires through a stovetop or grill, and the potential compromising of home safety ... » read more

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