- An Adaptive Learning Interface that Adjusts Task Difficulty based on Brain State (PDF) — using blood flow to measure cognitive load, this tool releases new lessons to you when you’re ready for them. The system measures blood flow using functional near-infrared spectroscopy (fNIRS). Increased activation in an area of the brain results in increased levels of oxyhemoglobin. These changes can be measured by emitting frequencies of near-infrared light around 3 cm deep into the brain tissue and measuring the light attenuation caused by levels of oxyhemoglobin. I think we all want a widget on our computer that says “your brain is full, go offline to recover,” if only to validate naptime.
- Deploying Software — Your deploys should be as boring, straightforward, and stress-free as possible. cf Maciej Ceglowski’s “if you find it interesting, it doesn’t belong in production.”
- Replicating SQLite Using Raft — rqlite is written in Go and uses Raft to achieve consensus across all the instances of the SQLite databases. rqlite ensures that every change made to the database is made to a quorum of SQLite files, or none at all.
- An Introduction to Autonomous Robots — An open textbook focusing on computational principles of autonomous robots. CC-NC-ND and for sale via Amazon.
The O’Reilly Hardware Podcast: Collecting, sharing, and accessing data from sensors.
In this new episode of the Hardware Podcast, David Cranor and I talk with data scientist Rachel Kalmar, formerly with Misfit Wearables and the founder and organizer of the Sensored Meetup in San Francisco. She shares insights from her work at the intersection of data, hardware, and health care.
- The need for a “data ecosystem” approach: it’s important to understand the entire stack from acquisition through storage and analysis, and where security and privacy become concerns.
- Analysis and insight as the real value in data: consumers get very little from raw data.
- Authentication for smart devices—and an experiment (let us know if your lights went out during this podcast by e-mailing email@example.com).
Tim O’Reilly’s Solid Conference keynote highlights the capabilities that will let us shape the physical world.
O’Reilly’s keynote address at the Solid Conference in 2014 explored the human-IoT link. The talk expanded the scope of the IoT, making it clear this isn’t just about individual devices and software — we’re creating “networks of intelligence” that will shape how people work and live.
The talk has become an essential resource for us as we’ve investigated the blurring of the physical and virtual worlds. That’s why we decided to put together a text-friendly version of the presentation that’s easy to scan and reference. And since we think it’s so useful, we’ve made the text version publicly available.
You can download your free copy of “Software Above the Level of a Single Device: The Implications” here. Read more…
The importance of network architecture on the Internet of Things
This article is part of a series exploring the role of networking in the Internet of Things.
There are a lot of moving parts in the networking for the Internet of Things; a lot to sort out between WiFi, WiFi LP, Bluetooth, Bluetooth LE, Zigbee, Z-Wave, EnOcean and others. Some standards are governed by open, independent standards bodies, while others are developed by a single company and are being positioned as defacto standards. Some are well established, others are in the early adoption stage. All were initially developed to meet unique application-specific requirements such as range, power consumption, bandwidth, and scalability. Although these are familiar issues, they take on a new urgency in IoT networks.
To begin establishing the right networking technology for your application, it is important to first understand the network architecture, or the network topology, that is supported by each technology standard. The networking standards being used today in IoT can be categorized into three basic network topologies; point-to-point, star, and mesh. Read more…