Startup Funding: February 2020

By Jesse Allen - 04 Mar, 2020 - Comments: 0

AI drew the biggest investments last month, with two AI hardware companies and one autonomous driving software startup pulling in nine-figure sums. Investors also pumped money into semiconductor manufacturing and test equipment, notably around EUV lithography and advanced packaging. AI Hardware SambaNova Systems received $250M in Series C funding for its software-defined hardware for AI, le... » read more

Aspinity’s Analog Neural Net Wake-Up Call

By Susan Rambo - 26 Jun, 2019 - Comments: 0

Putting an analog chip in front of an always-on system for digitizing speech and having the analog chip listen for sounds of interest may help avoid huge power waste and data congestion in current voice-recognition systems. Aspinity, an analog neuromorphic semiconductor startup, has worked the problem and just announced its Reconfigurable Analog Modular Processor (RAMP) platform yesterday. RAMP... » read more

Carbon Nanotube DRAM

By Susan Rambo - 23 Aug, 2018 - Comments: 0

An IP design house has developed a scalable DRAM replacement using carbon nanotubes (CNTs) that abolishes the DRAM refresh rate, stores the content permanently, has better timing than DRAM and is scalable. And it lasts for somewhere between 300 and 12,000 years. “Carbon nanotube memory—it sounds so sexy that I could just shut up and not say anything,” said Bill Gervasi, principal syste... » read more

Syntiant: Analog Deep Learning Chips

By Kevin Fogarty - 12 Jun, 2018 - Comments: 1

Startup Syntiant Corp. is an Irvine, Calif. semiconductor company led by former top Broadcom engineers with experience in both innovative design and in producing chips designed to be produced in the billions, according to company CEO Kurt Busch. The chip they’ll be building is an inference accelerator designed to run deep-learning processes 50x more efficiently than traditional stored-prog... » read more

Sigasi: Cleaner VHDL And SystemVerilog

By Ed Sperling - 30 Jan, 2017 - Comments: 0

Hardware engineers always have looked at software tools and methodologies with a certain degree of envy. While the hardware side has embraced the discipline necessary to get products right prior to release, in large part because it's too expensive to fix an error in hardware, the tools and languages are generally clunkier and the methodologies are much more rigid. Like software, they have to in... » read more

MapD Makes GPUs First-Class Citizens

By Ann Mutschler - 29 Aug, 2016 - Comments: 0

It’s now well known that with the latest innovations in parallel programming and GPU technology, graphics processing units (GPUs) can be harnessed today to deal with the enormous data sets regularly encountered in applications ranging from ADAS, artificial intelligence, and gaming to deep learning, scientific computation, and high-performance computing. But how exactly do you find what you... » read more

Menta Embeds FPGA Programmability

By Brian Bailey - 14 Jun, 2016 - Comments: 0

What constitutes a startup can be a matter of the market segment you are going after and the type of product that you are building. Within [getkc id="7" kc_name="EDA"], we often think of the lifetime of a company being just a few years between when an opportunity is identified, to a product being built and getting the first few customers and then getting gobbled up by one of the big three. But ... » read more

Valtrix Pushes For Horizontal Verification Reuse

By Brian Bailey - 01 Jun, 2016 - Comments: 0

Some of the most significant advances are not the result of a single person or a single idea. They often don’t happen overnight, and are suggested by a change that slowly becomes pervasive enough to become a generalized solution. That is exactly what is happening right now in the area of functional verification. The tools and methodologies in place at the moment assumed designs typical of the... » read more

Silexica: Multicore Software Automation

By Ed Sperling - 04 Apr, 2016 - Comments: 0

Multicore programming has a long and troubled history, and it has become much worse as the computing world moves increasingly toward heterogeneous multicore architectures. While it's easy enough to map out the hardware's power/performance characteristics, it is much harder to make the software take advantage of the appropriate cores. Enter Silexa, which began as a research project in 2008 at... » read more

Intento Design

By Brian Bailey - 21 Dec, 2015 - Comments: 3

While the United States is where most EDA developments have come from, there have been pockets of success at various places around the world and one that has produced more than most in recent years in France. Semiconductor Engineering spoke with [getperson id=" 11759 " comment ="Ramy Iskander"], founder and CEO and Eric Laurent, worldwide sales and business development for [getentity id="22905"... » read more

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Knowledge Centers
Entities, people and technologies explored

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