tag: machine learning

Reducing Costly Flaws In Heterogeneous Designs
By Ed Sperling - 08 Oct, 2019 - Comments: 0

The cost of defects is rising as chipmakers begin adding multiple chips into a package, or multiple processor cores and memories on the same die. Put simply, one bad wire can spoil an entire system. Two main issues need to be solved to reduce the number of defects. The first is identifying the actual defect, which becomes more difficult as chips grow larger and more complex, and whenever chi... » read more

Testing Against Changing Standards In Automotive
By Ed Sperling and Kevin Fogarty - 08 Oct, 2019 - Comments: 0

The infusion of more semiconductor content into cars is raising the bar on reliability and changing the way chips are designed, verified and tested, but it also is raising a lot of questions about whether companies are on the right track at any point in time. Concerns about liability are rampant with autonomous and assisted driving, so standards are being rolled out well in advance of the te... » read more

More Data, More Processing, More Chips
By Ed Sperling - 07 Oct, 2019 - Comments: 0

Simon Segars, CEO of Arm, sat down with Semiconductor Engineering to talk about the impact of heterogeneous computing and new packaging approaches on IP, the need for more security, and how 5G and the edge will impact compute architectures and the chip industry. SE: There are a whole bunch of new markets opening up. How does Arm plan to tackle those? Segars: Luckily for us, we can design ... » read more

Solving The Memory Bottleneck
By Brian Bailey - 04 Oct, 2019 - Comments: 4

Chipmakers are scrambling to solve the bottleneck between processor and memory, and they are turning out new designs based on different architectures at a rate no one would have anticipated even several months ago. At issue is how to boost performance in systems, particularly those at the edge, where huge amounts of data need to be processed locally or regionally. The traditional approach ha... » read more

Using Multiple Inferencing Chips In Neural Networks
By Ed Sperling - 04 Oct, 2019 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks about what happens when you add multiple chips in a neural network, what a neural network model looks like, and what happens when it’s designed correctly vs. incorrectly. » read more

ML, Edge Drive IP To Outperform Broader Chip Market
By Kevin Fogarty - 03 Oct, 2019 - Comments: 0

The market for third-party semiconductor IP is surging, spurred by the need for more specific capabilities across a wide variety of markets. While the IP industry is not immune to steep market declines in semiconductor industry, it does have more built-in resilience than other parts of the industry. Case in point: The top 15 semiconductor suppliers were hit with an 18% decline in 2019 first-... » read more

Over $7 Billion Raised In Mega-Rounds By 27 Firms
By Jeff Dorsch - 02 Oct, 2019 - Comments: 0

It was also a good month for private equity firms and venture capitalists to raise their own rounds, with the money to be invested in early-stage companies and more mature ventures. A semiconductor company led the month. Nexperia, once the Standard Products business unit of NXP Semiconductors, took in $1.5 billion of senior credit facilities. The money will go toward refinancing debt and par... » read more

Using Machine Learning In Fabs
By Mark LaPedus - 19 Sep, 2019 - Comments: 1

Amid the shift towards more complex chips at advanced nodes, many chipmakers are exploring or turning to advanced forms of machine learning to help solve some big challenges in IC production. A subset of artificial intelligence (AI), machine learning, uses advanced algorithms in systems to recognize patterns in data as well as to learn and make predictions about the information. In the fab, ... » read more

VC Perspectives On An AI Summer
By Michael Stewart - 19 Sep, 2019 - Comments: 0

It’s been a busy summer for Applied Ventures. Our team has had many interactions in the startup and investing space, and added some new companies to our portfolio. I’ll be sharing highlights of these activities in a series of upcoming blogs, but first I’d like to reflect on current market developments in machine learning and how they are affecting VC investment patterns. Strategic inve... » read more

In-System Networks Are Front And Center
By Kurt Shuler - 16 Sep, 2019 - Comments: 0

This year’s HotChips conference at Stanford was all about artificial intelligence (AI) and machine learning (ML) and what particularly struck me, naturally because we’re in this business too, was how big a role on-chip networks played in some of the leading talks. NVIDIA talked about their scalable mesh architecture, both on-chip and in-package, meshes connecting processing NN processing el... » read more

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