AI: The Next Big Thing

The next big thing isn't actually a thing. It's a set of finely tuned statistical models. But developing, optimizing and utilizing those models, which collectively fit under the umbrella of artificial intelligence, will require some of the most advanced semiconductors ever developed. The demand for artificial intelligence is almost ubiquitous. As with all "next big things," it is a horizonta... » read more

The Week In Review: Design

M&A Microchip inked an agreement to acquire Microsemi, provider of chips for defense and aerospace, for $68.78 per share in cash. The acquisition price represents a total equity value of about $8.35 billion and a total enterprise value of about $10.15 billion, according to Microchip. The deal is expected to close in the second quarter of 2018. Silvaco acquired NanGate. Founded in 2004, ... » read more

The Week In Review: Design

Startup OnScale launched with advanced CAE multi-physics solvers that are seamlessly integrated with a scalable, high performance cloud computing platform built on Amazon's AWS. The company's model is built around a Solver-as-a-Service pay-as-you-go subscription model and targets 5G, IoT/Industrial IoT, biomedical, and autonomous car markets. The company has $3 million in strategic seed fund... » read more

The Week In Review: Design

Tools & IP Pro Design launched three new proFPGA Zynq UltraScale+ FPGA modules for SoC and IP prototyping. The modules combine FPGA logic with quad-core ARM Cortex-A53 and dual-core ARM Cortex-R5 processors and on-board interfaces. The modules offer a total of up to 5 extension sites with 531 standard I/Os and 16 multi-gigabit transceivers (MGTs). The board allows a maximum point-to-point ... » read more

Deconstructing Deep Learning

I discuss AI and deep learning a lot these days. The discussion usually comes back to “what is a deep learning chip?” These devices are basically hardware implementations of neural networks. While neural nets have been around for a while, what’s new is the performance advanced semiconductor technology brings to the party. Applications that function in real time are now possible. But wh... » read more

FD-SOI Adoption Expands

Fully depleted silicon-on-insulator (FD-SOI) is gaining ground across a number of new markets, ranging from IoT to automotive to machine learning, and diverging sharply from its original position as a less costly alternative to finFET-based designs. For years, [getkc id="220" kc_name="FD-SOI"] has been viewed as an either/or solution targeted at the same markets as bulk [gettech id="31093" c... » read more

eSilicon Builds ASIC Business On Leading-Edge Chip Design

How advanced application specific integrated circuits (ASIC) chip design and manufacturing for leading-edge applications such as networking and artificial intelligence can be successfully outsourced. The company which has capabilities in 2.5D packaging, high-bandwidth memories (HBM), and silicon IP for fast memories and SerDes designs. The company has many leading system companies as custome... » read more

The Week In Review: Design

Tools & IP Arm unveiled a new suite of IP focused on machine learning for edge devices. Currently dubbed Project Trillium, it includes the Arm ML processor, the second-generation Arm Object Detection (OD) processor, and open-source Arm NN software. The ML processor provides more than 4.6 TOPs in mobile environments with efficiency of 3 TOPs/W. People detection is a focus of the OD processo... » read more

Cheaper Packaging Options Ahead

Lower-cost packaging options and interconnects are either under development or just being commercialized, all of which could have a significant impact on the economics of advanced packaging. By far, the most cited reason why companies don't adopt advanced [getkc id="27" kc_name="packaging"] is cost. Currently, silicon [getkc id="204" kc_name="interposers"] add about $30 to the price of a med... » read more

Deep Learning Spreads

Deep learning is gaining traction across a broad swath of applications, providing more nuanced and complex behavior than machine learning offers today. Those attributes are particularly important for safety-critical devices, such as assisted or autonomous vehicles, as well as for natural language processing where a machine can recognize the intent of words based upon the context of a convers... » read more

← Older posts