TinyML: Bringing machine learning to the edge

We've been thinking a lot recently about the status of code in a world where it's increasingly written and read by AI. Could the spec, for instance, become the primary way we interface with software systems? And if it does, will that mean humans no longer need to look at code at ...  Show more

Harness engineering is still a new concept, but already we've noticed a challenge being consistently faced by technology leaders: how can a harness be used at scale across an organization to ensure consistency and controllability without undermining autonomy? To some extent it's ...  Show more

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Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego ...

Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer ...  Show more

Groundbreaking technologies like neural-net algorithms, along with the ability to run much more powerful computation, started a new era in Machine Learning. We're now able to use Machine Learning for products in ways we could only dream about and companies from all around th ...  Show more

Thanks to machine learning and artificial intelligence, programs that used to take a week can now quickly search 50,000 IP addresses for vulnerabilities in organisations like yours to get into. Reformed Hacker and Brand Ambassador for CTRL Group Bastien Treptel speaks with Associ ...  Show more