tag: machine learning

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 15 Feb, 2019 - Comments: 0

Internet of Things Is Google developing a Pixel Watch wearable? Perhaps, if recent job listings are any indication. The company recently was looking to hire someone as vice president of hardware engineering, wearables. Last month, Fossil Group sold smartwatch technology intellectual property to Google for $40 million, while Google hired certain members of Fossil’s wearables R&D team. ... » read more

The Race To Multi-Domain SoCs
By Ed Sperling - 07 Feb, 2019 - Comments: 0

K. Charles Janac, president and CEO of Arteris IP, sat down with Semiconductor Engineering to discuss the impact of automotive and AI on chip design. What follows are excerpts of that conversation. SE: What do you see as the biggest changes over the next 12 to 24 months? Janac: There are segments of the semiconductor market that are shrinking, such as DTV and simple IoT. Others are going ... » read more

Should AI Mimic Real Life?
By Brian Bailey - 31 Jan, 2019 - Comments: 0

There is a lot we still do not know about how the human body and brain works. Today's machines are far from being anything like as capable, or power frugal, or having the ability to make decisions. True – machines have been made for highly specific tasks that can now beat a human. But there lies one of the human mind's greatest features – when it makes mistakes, it asks how it can do better... » read more

Pushing AI Into The Mainstream
By Brian Bailey - 31 Jan, 2019 - Comments: 0

Artificial intelligence is emerging as the driving force behind many advancements in technology, even though the industry has merely scratched the surface of what may be possible. But how deeply AI penetrates different market segments and technologies, and how quickly it pushes into the mainstream, depend on a variety of issues that still must be resolved. In addition to a plethora of techni... » read more

Using Memory Differently
By Ann Mutschler - 31 Jan, 2019 - Comments: 0

Chip architects are beginning to rewrite the rules on how to choose, configure and use different types of memory, particularly for chips with AI and some advanced SoCs. Chipmakers now have a number of options and tradeoffs to consider when choosing memories, based on factors such as the application and the characteristics of the memory workload, because different memory types work better tha... » read more

What’s Next For AI, Quantum Chips
By Mark LaPedus - 24 Jan, 2019 - Comments: 1

Semiconductor Engineering sat down to discuss the latest R&D trends with Luc Van den hove, president and chief executive of Imec; Emmanuel Sabonnadière, chief executive of Leti; and An Chen, executive director for the Nanoelectronics Research Initiative at the Semiconductor Research Corp. (SRC). Chen is on assignment from IBM. What follows are excerpts of those conversations, which took pl... » read more

The Data Deluge
By Ed Sperling - 23 Jan, 2019 - Comments: 0

Lip-Bu Tan, president and CEO of Cadence, sat down with Semiconductor Engineering to discuss the intersection of big data and technology, from the data center to the edge and vertical markets such as automotive. What follows are excerpts of that conversation. SE: What are the biggest changes you've seen over the past year? Tan: We are moving quickly toward data-driven economics. There... » read more

Power Issues Rising For New Applications
By Ann Mutschler - 21 Jan, 2019 - Comments: 0

Managing power in chips is becoming more difficult across a wide range of applications and process nodes, forcing chipmakers and systems companies to rethink their power strategies and address problems much earlier than in the past. While power has long been a major focus in the mobile space, power-related issues now are spreading well beyond phones and laptop computers. There are several re... » read more

Computer Vision Sees a Bright Future
By Mentor, a Siemens Business - 16 Jan, 2019 - Comments: 0

Computer vision is powering advances in automotive, medical, consumer, and agriculture markets. Because the world of computer vision coupled with machine learning evolves so quickly, teams need a way to design and verify an algorithm while the specifications and requirements evolve without starting over every time there is a change. The only way to successfully develop these systems is to use h... » read more

Machine Learning For IC Production
By Mark LaPedus - 16 Jan, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. What follows are excerpt... » read more

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