"What exactly is computer vision then? Computer vision is a research field working to equip computers with the ability to process and understand visual data, as sighted humans can. Human brains process the gigabytes of data passing through our eyes every second and translate that data into sight - that is, into discrete objects and entities we can recognise or understand. Similarly, computer vision aims to give computers the ability to understand what they are seeing, and act intelligently on that knowledge."
– Computer vision: Cheat Sheet. ZDNet.com (December 6, 2011), by Natasha Lomas.
The improvements include two major elements: navigation, including using the pen or stylus to select and scroll text; and better interpretation of inked words as text, via a more accurate and responsive handwriting panel. Once it comes to writing actual words with your digital pen, though, Microsoft's new handwriting panel does an impressive job of interpreting inked words as editable text. Note that the keyboard icon won't appear on your taskbar unless you right-click the taskbar and select Show touch keyboard button from the menu that appears. Once you've enabled, and clicked, the touch keyboard button, you'll need to enable the pen input by selecting the pen keyboard.
An expert in computer vision, machine learning, and human visual perception, Torralba is a professor in the Department of Electrical Engineering and Computer Science and a principal investigator at the Computer Science and Artificial Intelligence Laboratory. "As the inaugural MIT director of our collaboration with IBM, Antonio will closely collaborate with IBM leadership and lab researchers to design and implement the lab's ambitious research agenda," said Chandrakasan, who is also the Vannevar Bush Professor of Electrical Engineering and Computer Science. "I am delighted by the appointment of Antonio Torralba as MIT director of the MIT-IBM Watson AI Lab," said Dario Gil, vice president of AI and IBM Q at IBM Research, who, along with Chandrakasan, oversees the MIT-IBM collaboration. Torralba and the IBM director will lead the MIT-IBM Watson AI Lab, a $240 million investment by IBM in AI efforts over the next 10 years, with $90 million dedicated to supporting MIT research.
FARMERS can now zap their crops with a handheld scanner to instantly determine nutritional content, which could prove crucial in mitigating the effects of climate change on food quality. "Real-time results mean farmers can add fertilisers or tweak moisture levels as crops grow" Farmers can use the app to assess the impact of changing conditions, such as extreme weather and soil quality, on the quality of their crops from year to year. It could allow farmers to mitigate the negative effects of climate change early by adding fertilisers or tweaking moisture levels as crops grow. Other companies are developing similar gadgets for consumers, and sensors that can be fitted onto a smartphone.
But because I am visiting Nest, and Mittleman is its Head of Product Design, working on a new gadget that this startup-turned-controversial Alphabet division is launching, I can't say I am surprised. The new products include the aforementioned Nest Secure, a home security system; Nest Hello, an internet-connected doorbell; an outdoor version of its Nest Cam IQ security camera (which uses Google face recognition to identify people who wander into range); and, perhaps most significant, the integration of the voice-based Google Assistant into Nest products, beginning with the indoor IQ camera. When Fadell left in June 2016, Larry Page replaced him with Marwan Fawaz, a nuts-and-bolts guy who is much in the mold of other recent Alphabet division leaders: experienced, middle-aged guys (always guys) known less for vision than for delivering quarterly results. Though no case like that had ever been reported, Nest halted sales for a few weeks and issued a recall to disable the feature in 440,000 Protect units.
It was just a few weeks ago that Nest introduced the E, a budget version of its smart thermostat; just a couple of months before that it unveiled the new Nest Cam IQ. At an event in San Francisco this morning, Nest unveiled another new product: the Nest Hello, its first-ever video doorbell. Nest says the device records 4:3 aspect ratio HD video with HDR and a 160-degree field of view. What's more, the Hello incorporates some of Nest Cam IQ's smart tech, with both person-detection and facial recognition.
Apple says its version of the technology, called Face ID and available when the phone ships in November, uses a suite of sensors to map your face in 3-D. An infrared light illuminates your face, and a projector projects an array of infrared dots at it. Anil Jain, a Michigan State University professor who studies biometric recognition and computer vision, notes that it uses an existing tactic called structured light to capture your visage in three dimensions--something he employed for object recognition back in the 1980s. Beyond the work the company has done to keep the wrong people out of the phone, Apple claims that Face ID will let the right person in even in the dark, while wearing glasses or a hat, and after growing a beard. Jain says it's conceivable that smartphones will eventually include sensors for face, iris, and fingerprint recognition--a rarity now.
SEE ALSO: General Kelly's face had its own press conference yesterday At the UN, Trump basically talked about parts of the world going to hell. An Associated Press photographer caught Kelly reacting during the speech, and it really looks like he went through some feels. Many, who were apparently making similar expressions while listening to Trump, called out Kelly's body language and meme'd away. John Kelly has a terrible poker face https://t.co/JIM05ybgWF John Kelly apparently went through some sort of existential crisis during Trump's UN speech.
I'm a privacy lawyer who researches the risks of face recognition technology – and I will be buying the new iPhone. But as we grow accustomed to fast and accurate face recognition, we cannot become complacent to the serious privacy risks it often poses – or think that all its applications are alike. Social media applications increasingly integrate face recognition into their user experience; one application in Russia allows strangers to find out who you are just by taking your photo. At the festival in London late last month, the real-time face recognition system reportedly led to 35 misidentifications and only one "correct" match – an innocent person who was not wanted by the police after all.
Where these IoT devices are in fact already doing some limited analytics at or very near the point of capture (as in the case with true Edge Computing systems), there is opportunity to create a more intelligent, more relevant, and more positive experience or outcome from the Internet of Things by using Haven OnDemand Machine Learning APIs to perform early analytics and computing that enhances or augments the data that is being acquired and aggregated at the edge. It achieved this by analyzing local law enforcement open data crime statistics to detect specific crime trends and specific crime anomalies. A more intelligent IoT solution would analyze still images to detect the presence of faces, recognize and extract text via Optical Character Recognition (OCR), identify corporate logos and even read barcodes. Examples include counting customers, analyzing customer demographics, analyzing customer personal effects to detect logos and determine brand preferences, analyzing real-time social media check-in mentions for sentiment, and point-of-sale data trend analysis.