Just what i find

Humans are good at tasks which require dexterity and manipulation of flexible materials (like thin tubes or fabric), but often these detailed tasks are associated with big, heavy "chunks" of other things (such as wiring up a heavy car dashboard before dropping it in to place). Typically, people and industrial robots are kept separate to Continue reading →

The move to a cashless society is making steady progress across most of the world. In the UK, for example, more than 50% of transactions were completed cashlessly last year (https://www.ft.com/content/18e3eb92-7201-11e8-aa31-31da4279a601), while in China, UnionPay's rapid push in to new markets (as diverse as Malaysia, DRC, and Kazakhstan https://www.ft.com/content/a67350fa-1f6f-11e7-a454-ab04428977f9) demonstrates the sheer scale of the Continue reading →

Recognising AI as a "general-purpose machine", rather than a distinct and immediately implementable tool or technique, can help explain why the anticipated gains are not yet being seen. With the introduction of other general-purpose machines, like the electric motor, the computer, the steam engine, it took decades for companies and industries to identify how they Continue reading →

Novel new approaches to the use of AI – highlighting its use as an augmentation to human judgement, not a substitute – are welcome, but still fall far short of addressing the elephant in the room – most machine learning or AI today is still pure statistical inference, often without even implicit acknowledgement of the Continue reading →

It's an often overlooked problem, but although electric vehicles produce zero emissions at point of use, and can be powered entirely with emission free fuel (e.g. renewable power sources), they still contain a lot of rare materials, often mined or produced under somewhat questionable ethical standards, so it's great to see how the world is Continue reading →

Although i was aware of the benefits of sparsely connected neural networks, this paper outlines an additional, slightly counter-intuitive property – scale-freeness through a method they call "Sparse Evolutionary Training). Starting from a sparse network, the model randomly adds new connections and drops weaker ones, "evolving" in to a more model which is more complex Continue reading →

As Sweden turns to an increasingly cashless society, criminals are having to find other ways to line their pockets. Last year a high profile string of robberies of moving trucks of Apple merchandise (https://web.archive.org/web/20180604083500/http://digg.com/2017/sweden-truck-heist) were finally bought to an end by a police sting, but now criminals have started catching and selling endangered species – Continue reading →

Uber plans to launch a flying car service ("Uber Elevate"), predicting it'll be ready around 2025 – progress is being further accelerated by a $20M investment in a dedicated Research and Development site in Paris, Uber's first technology centre outside the US, focusing on research in to airspace management and overcoming the legal and practical Continue reading →

The impact of self-driving cars will be felt far and wide. Aside from the obvious (insurance industry, petrol stations, professional drivers, crash repair centres), CB Insights points out that seemingly disconnected industries – like fast food, real estate, media and healthcare – are also set to be jolted from their comfort zones. Not all of Continue reading →