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"It's been less than a year since Philips pushed out a firmware update that gave its light fixtures the ability to detect and reject non-Philips lightbulbs -- and thanks to laws like the DMCA, which have metastasized in the IoT era, it's a potential felony to alter your light fixture to override this behavior and force it to work with non-Philips bulbs."

"A smartphone application called Peek, Portable Eye Examination Kit, utilizes the phone's camera and can conduct visual and color field tests, lens imaging for cataracts, and retinal imaging, among other tests to detect sight impairments and diseases."

"While capable of mimicking others, the SociBot's slightly sinister side comes from the fact that it is also watching you. Equipped with two cameras in its head and a depth sensor in its chest, it can detect gestures and movements, as well as judge your emotions by mapping the position of your features over a series of internal templates."

"Google's self-driving cars have driven over a million miles in autonomous mode. But when Google brought its testing program to Austin, Texas, one of the vehicles met its match: a cyclist doing a track stand - when a rider shifts very slightly forward and back to maintain balance while keeping feet on the pedals." This is very surprising that this self-driven car would detect a person not even moving and still keep stopped, it will be interesting to see if and how they fix this problem.

Is too much surveillance actually harming our ability to detect terrorist plots?

My main concern isn't about what it does (even though it is quite odd), but how successful it will be.

"Pearson is apparently monitoring social media, to detect signs of cheating during exams. That's insanely creepy, and a horrible violation. "And for those who think "Well, its Twitter, its public", remember this: So is walking down the street. But is it OK for the government to monitor us with street surveillance cameras and send us fines for not crossing with the crosswalk?" via Pearson Caught Spying On Students. Big Brother Is Here. "

"MEMS and nanotechnology utilize seemingly impossibly small mechanisms in order to sense, control and respond to a particular environment - these technologies can sense mechanical information as well as biological data. Many MEMS sensors function by detecting small electrical currents that provide data on things such as position, geomagnetic field, acceleration and more, and then pass this information along to other mechanisms within a device or machine. "

"The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists."

""Weapons of math destruction" is how the writer Cathy O'Neil describes the nasty and pernicious kinds of algorithms that are not subject to the same challenges that human decision-makers are. Parole algorithms (not Jure's) can bias decisions on the basis of income or (indirectly) ethnicity. Recruitment algorithms can reject candidates on the basis of mistaken identity. In some circumstances, such as policing, they might create feedback loops, sending police into areas with more crime, which causes more crime to be detected."

"His team trained a machine learning algorithm to spot words and phrases associated with bullying on social media site AskFM, which allows users to ask and answer questions. It managed to detect and block almost two-thirds of insults within almost 114,000 posts in English and was more accurate than a simple keyword search. Still, it did struggle with sarcastic remarks."

"Studies generally suggest that, year after year, less than 60 percent of web traffic is human; some years, according to some researchers, a healthy majority of it is bot. For a period of time in 2013, the Times reported this year, a full half of YouTube traffic was "bots masquerading as people," a portion so high that employees feared an inflection point after which YouTube's systems for detecting fraudulent traffic would begin to regard bot traffic as real and human traffic as fake. They called this hypothetical event "the Inversion.""

"The Wheelie 7 kit equips a wheelchair with artificial intelligence to detect the user's expressions and process the data in real-time to direct the movement of the chair. Smiling, raising the eyebrows, wrinkling the nose or puckering the lips as if for a kiss are among the repertoire of 10 gestures recognised by the prototype Wheelie 7."

"So they trained a deep-learning neural net on tons of examples of deepfaked videos, and produced a model that's better than any previous automated technique at spotting hoaxery. (Their paper documenting the work is here.)"

"Computer Vision and Pattern Recognition shows that these watermarks can be reliably detected and undetectably erased by software."

"Each 30-pound robot is equipped with sensors to help it navigate the store's layout and avoid bumping into customers' carts. When it detects product areas that aren't fully stocked, the data is shared with store management staff so the retailer can make changes, said Dave Steck, Schnuck Markets' vice president of IT and infrastructure."

"Hangzhou Zhongheng Electric is just one example of the large-scale application of brain surveillance devices to monitor people's emotions and other mental activities in the workplace, according to scientists and companies involved in the government-backed projects. Concealed in regular safety helmets or uniform hats, these lightweight, wireless sensors constantly monitor the wearer's brainwaves and stream the data to computers that use artificial intelligence algorithms to detect emotional spikes such as depression, anxiety or rage."

"Then came the algorithm, which used automatic speech recognition to detect specific features and patterns in each of the 48 recordings. It was clear from examining the waveforms of the cries that each category had a specific pattern."

"However, once technology is released it's like herding cats. Deepfakes are a moving feast and as soon as moderators find a way of detecting them, people will find a workaround."