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Facebook remains embroiled in a multibillion-dollar judgement lawsuit over its facial recognition practices, but that hasn’t stopped its artificial intelligence research division from developing technology to combat the very misdeeds of which the company is accused. According to VentureBeat, Facebook AI Research (FAIR) has developed a state-of-the-art “de-identification” system that works on video, including even live video. It works by altering key facial features of a video subject in real time using machine learning, to trick a facial recognition system into improperly identifying the subject.

This de-identification technology has existed in the past and there are entire companies, like Israeli AI and privacy firm D-ID, dedicated to providing it for still images. There’s also a whole category of facial recognition fooling imagery you can wear yourself, called adversarial examples, that work by exploiting weaknesses in how computer vision software has been trained to identify certain characteristics. Take for instance this pair of sunglasses with an adversarial pattern printed onto it that can make a facial recognition system think you’re actress Milla Jovovich.

A lab worker in San Diego became infected with a smallpox-related virus, known as the vaccinia virus, after she accidentally stuck her finger with a needle, according to a new report.

The infection caused the tip of the woman’s finger to swell and turn black. Her case is unique because it marks the first time that doctors have used tecovirimat — a recently approved drug for smallpox — to treat a laboratory-acquired infection with vaccinia virus, the report said.

Emma doesn’t look so great.

Her legs are puffy and covered in varicose veins. Her eyes are flat and dead, and her back looks like she spends her days ringing the bell at Notre-Dame Cathedral.

It’s harsh but true. Emma is a life-sized doll depicting what the average office worker in the United Kingdom could look like in 20 years if changes aren’t made to the workplace environment.