High-level FPGA programming for nanosecond timing in terabit communication
Next-generation data communication using laser signals between ground stations and satellites will be at the terabit per second level. Given the high demands on data quality and processing speed, wavefront sensors and FPGAs are essential ingredients of the required communication terminals. Demcon and Qbaylogic demonstrate the potential of high-level functional FPGA programming.
You should learn how to present
Picture the last presentation you attended. What was it about? How did it make you feel? Were you inspired? If you’re a high-tech professional, the respective answers are probably – don’t know, bored and not in the least. Mark Robinson, senior software consultant at ASML through TMC, is out to change that.
Wi-Fi thermal challenges for RF front-end designers
There are two main design challenges when it comes to thermal management in the Wi-Fi front-end. The first is the increased demand for smaller, sleeker routers, access points and wireless speakers that must be aesthetically pleasing. Consumers are migrating away from one wireless router per home and toward a mesh-networked home, driving the need for a smaller and less obtrusive product. Additionally, Wi-Fi is designed into set-top boxes, speakers and voice assistant devices that are also becoming smaller and sleeker. Smaller and more pleasing to the eye is good for the consumer, but it creates additional pressure on the design as the devices inside have less space to properly dissipate the heat they create.
Machine learning adds another layer to your software security challenge
Although machine learning security research is still in its early stages, it’s clear that input possibilities without barriers increase threats. You don’t need to touch a keyboard anymore to fool a machine learning system. Software security expert Balázs Kiss touches upon a few points in this new field and gives advice on the basic protection measures.
News & Analysis
Has Intel lost its mojo?
Having failed to impress in new markets and being circled by the competition on its home turf, Intel now also has forfeited technological leadership definitively. Is the king of the semiconductor hill about to lose its crown?
Understanding how to generate value – within time and budget
As a project manager, system architect and crisis manager in the high-tech industry, Luud Engels has a reputation for not mincing words. In addition to his consultancy work, he recently started as a system architecture trainer at High Tech Institute. “Clear communication is key in complex development environments.”
Dutch collaborators bring high-performance motion systems to a whole new stage
In the world of high-performance machine development, the Netherlands is planted firmly on the cutting edge – particularly in the field of chip-making equipment, used in the semiconductor and electronics domain. To stay ahead of the ever-evolving demands and consumer expectations, key players in Dutch high tech are teaming up as part of the Imsys-3D public-private partnership to create next-generation high-performance motion systems.
Innovation and character light the path to IMS success
In today’s high-tech environment, companies of all sizes are looking to stay at the cutting edge of innovation. According to team leaders Martin Langkamp and Martijn Bouwhuis of Almelo-based IMS, the equation is easy. It comes down to a few key factors: keeping the employees interested, keeping the workplace light and focusing on personal development through training.
“High up in an organization, you’re busy with keeping management at ease”
Ben Pronk gained fame as a system architect at several Philips divisions. A year ago, he decided to round off his career by joining a startup in robotic surgery. In the run-up to his keynote at the Bits&Chips System Architecting Conference, we ask him about his 30 years of experience as a system architect.
Does data-driven decision-making make you boring?
With all the focus on data and AI, it was simply a matter of time before the countermovement started. Reflecting on several discussions around this topic that I’ve had over the last year, the key theme seems to be that data and AI are predicting the future based on the past and as long as the future is like the past, this works fine. However, the world is in constant flux and these technologies cause stagnation as we can’t predict fundamental shifts and disruptive innovations. Even worse, we don’t even look for them as we look at data in a short-sighted fashion.