A surprising headline, but the restriction is very specific:
the new export ban is extremely narrow. It applies only to software that uses neural networks (a key component in machine learning) to discover “points of interest” in geospatial imagery; things like houses or vehicles. The ruling, posted by the Bureau of Industry and Security, notes that the restriction only applies to software with a graphical user interface — a feature that makes programs easier for non- technical users to operate.
Still, this is probably a marker of change to come. It’s a little odd to think of software as something that can be “exported”, however. Surely this isn’t a ban on shipping discs across a border. Software is downloaded. So, is this a kind of firewall?
Bohn and his co-founders are confident that, if done right, a proper system for wireless power transmission could shift not just how we think about keeping devices charged and powered on at all times, but also the types of devices we end up putting in our homes and what those devices get used for.
I’d say. If this works, it’ll remove a technical limitation that is pretty built-in to our mental models of how our gadgets work.
Guru is envisioning a world where you can keep all manner of battery-powered gadgets, big and small, all over your home or in every corner of an office, store, or warehouse without having to worry about where they draw power from or how long it lasts on a charge.
Eliminating the “where will I plug it in?” assumption might unlock opportunities across all ways of living and working.
Segwayʼs newest self-balancing vehicle wonʼt require you to stand up. Dubbed the S- Pod, the new egg- shaped two-wheeler from Segway-Ninebot is meant to let people sit while they effortlessly cruise around campuses, theme parks, airports, and maybe even cities.
Hmm. At least with self-balancing, this won’t happen:
Incredible achievement, but it makes me wonder—what are the .2% of humans doing differently?
These stories of AI achievement are sure to proliferate in the coming years. By focusing on those people who are still able to think around machine learning strategies, we might learn something about how humans and machines can best complement each other.