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Don’t Miss Out: Arm TechCon 2019 Call For Papers Now Open

The world’s premier technology event taking submissions until April 23 on AI, security, cloud-to-edge computing, embedded software development and more

2 min read
arm TechCon 2019 Call for Papers

Stripped of all the hype, what is technology innovation? It’s a continuous dialogue between innovator and user, vendor and customer – a call-and-response routine that builds to a crescendo of products followed by more dialogue and refinement. This is the hallmark of hundreds of years of invention.

As a successful innovator, you know the importance of this give-and-take to product development. You also know how vital face-to-face events are to this continuous conversation: They spark insight, inspiration, networking and further collaboration, not to mention as a speaker you get instant credibility.

The world is awash in information, yet conferences and exhibitions remain one place where engineers can gather to focus and share and learn information to overcome design challenges and architect the future.

For two decades, Arm TechCon has served as just such a central marketplace for ideas, inspiration and innovation. This year’s event, Oct. 8-10, 2019 at the San Jose Convention Center, returns with focus on today’s biggest innovation opportunities. This year’s conference tracks are:

  • AI & Machine Learning
  • Automotive, Industrial, and Functional Safety
  • Connected Devices & Cloud Services
  • Embedded Software Development
  • Cloud to Edge Infrastructure
  • Interactive Compute
  • System Design Methodology
  • Trust & Security

These are the topics confronting most engineers today, and they’re issues that Arm TechCon continues to address as this fall’s event approaches. The Arm TechCon 2019 call for papers is now open until April 23.

How can you make your products and services impenetrable? It’s become clear in the past year that a concerted, industry effort is required to deliver the type of end-to-end security solutions that consumers will have confidence in, but how do we get there?

As design rapidly expands for semi- and completely autonomous vehicles, what are the best platforms and functional safety approaches design teams need to consider?

Working on AI and ML? What kind of processor will be best for optimal machine learning computation?

Developing an IoT system? How can you more efficiently and effectively distribute computing power from the edge in to the cloud?

Don’t miss the opportunity to contribute your ideas and knowledge to the industry’s continuing innovation conversation as we, together, invent the future.

The Conversation (0)

Why Functional Programming Should Be the Future of Software Development

It’s hard to learn, but your code will produce fewer nasty surprises

11 min read
A plate of spaghetti made from code
Shira Inbar

You’d expectthe longest and most costly phase in the lifecycle of a software product to be the initial development of the system, when all those great features are first imagined and then created. In fact, the hardest part comes later, during the maintenance phase. That’s when programmers pay the price for the shortcuts they took during development.

So why did they take shortcuts? Maybe they didn’t realize that they were cutting any corners. Only when their code was deployed and exercised by a lot of users did its hidden flaws come to light. And maybe the developers were rushed. Time-to-market pressures would almost guarantee that their software will contain more bugs than it would otherwise.

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