If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
HONG KONG – Hong Kong law enforcement authorities have access to artificial intelligence software that can match faces from video footage to police databases, but people familiar with the matter say it is unclear if the technology is being used to quell the pro-democracy protests. Police have been able to use the technology from the Sydney-based iOmniscient for at least three years, and engineers from the company have trained dozens of officers on how to use it, said the people, who asked not to be identified because the information isn't public. The software can scan footage, including from closed-circuit television, to match faces and license plates to a police database and pick out suspects in a crowd. In addition to tracking criminals, iOminiscient's artificial intelligence can be used for everything from finding lost children to managing traffic. In one training session after the protests began in June, the people said, officers asked how to automatically identify license plate numbers using dashboard cameras.
Whether you're intrigued or sceptical about it, use of facial recognition technology is growing – and now Fujitsu claims to have developed a way to help track emotions better too. The company's laboratories have come up with an AI-based technology that can track subtle changes of expression such as nervousness or confusion. Companies like Microsoft are already using emotion tools to recognise facial expression, but they are limited to eight "core" states: anger, contempt, fear, disgust, happiness, sadness, surprise or neutral. The current technology works by identifying various action units (AUs) – that is, certain facial muscle movements we make and which can be linked to specific emotions. For example, if both the AU "cheek raiser" and the AU "lip corner puller" are identified together, the AI can conclude that the person it is analysing is happy.
On a cold, sunny October day on the outskirts of Copenhagen, Denmark, a group of men dressed in black gathers outside Brondby Stadium to shoot off a couple of rockets, raise their fists and shout about how the home team will soon beat -- and beat up -- the visiting archnemesis, FC Copenhagen. Police are out in force, riot helmets at the ready. Brondby-Copenhagen matches have a history of leading to vandalism, arrests and general mayhem. An attempted photo of the group gets a gloved hand in the face. "You need to stop," says the hand's black-clad owner, before he disappears back into the crowd.
Annually since 2016, Google has released a pair of flagship Pixel smartphones designed to showcase the very best of Android. This year was like any other with the debut of the Pixel 4 and Pixel 4 XL, which ship running Android 10. But what's unusual this time around is that the newest duo's hardware is perhaps just as compelling as their software. Gone is the two-tone rear cover that featured prominently on the original Pixel, Pixel 2, and Pixel 3 series, replaced with polished and grippy Corning Gorilla Glass 5. It's easier to grasp ahold of than that of the Pixel 3 and Pixel 3 XL, and it's more resistant to oily fingers and pocket lint. The Pixel 4 series is IP68 certified to withstand up to five feet of water for half an hour, which puts it on par with the outgoing Pixel 3 series. But both the Pixel 4 and the Pixel 4 XL are a good deal heavier than the Pixel 3 (5.71 The Pixel 4 series' frame is coated with a soft-touch material that's jet black on all three of the colorways -- Clearly White, Just Black, and the limited edition Oh So Orange. The haptics, which Google characterizes as "sharp and textured," feel great.
The last day of January 2019 was sunny, yet bitterly cold in Romford, east London. Shoppers scurrying from retailer to retailer wrapped themselves in winter coats, scarves and hats. The temperature never rose above three degrees Celsius. For police officers positioned next to an inconspicuous blue van, just metres from Romford's Overground station, one man stood out among the thin winter crowds. The man, wearing a beige jacket and blue cap, had pulled his jacket over his face as he moved in the direction of the police officers.
BOISE, Idaho: Soaring silently in the sky, the Heron 1 unmanned aerial vehicle (UAV) spots three moving vehicles below suspected to be enemy targets. The UAV feeds real-time video back to a big screen in the command post. Commanders there immediately see red rectangles appear around the vehicles. This is the Automatic Target Detection (ATD) system confirming they are threats. Three F-16 fighter jets are scrambled.
AI and its immense potential, spanning a range of areas, can address some of the major issues in Live Streaming. FREMONT, CA: Streaming constitutes a considerable share of all the data moving around. Video forecast is expected to account for 82 percent of internet traffic by 2022. Artificial intelligence (AI) will play a key role in the streaming industry. AI will be a critical technology in terms of regulating illicit content, preventing copyright infringement, and several other aspects of streaming.
Artificial intelligence (AI) algorithms are complex packets of code that strive to learn on given training data. But when this training data is flawed, not well-rounded, or biased, the algorithm quickly spirals into discrimination too. For women and minorities, these systemic AI issues can quickly become harmful. Bias in AI algorithms doesn't only occur because of problems in training data. When you dig deeper, it becomes readily apparent that bias often comes from how an AI developer frames a scenario or problem.
Facial-recognition software from major tech companies is apparently ill-equipped to work on transgender and non-binary people, according to new research. A recent study by computer-science researchers at the University of Colorado Boulder found that major AI-based facial analysis tools--including Amazon's Rekognition, IBM's Watson, Microsoft's Azure, and Clarifai--habitually misidentified non-cisgender people. They eliminated instances in which multiple individuals were in the photo, or where at least 75% of the person's face wasn't visible. The images were then divided by hashtag, amounting to 350 images in each group. Scientists then tested each group against the facial analysis tools of the four companies.
Conferencing solution company Zoom announced a slew of new features this week at its Zoomtopia 2019 conference in San Jose, California -- 300 in total, to be exact. Among the highlights are AI-powered transcripts and meeting notes in Zoom Meetings, in addition to a Zoom Rooms people counter informed by facial recognition. On the Zoom Meetings side, live transcripts tap startup Otter.ai's Now, attendees can take notes directly in the Zoom interface or use live transcription for voice note taking, the latter of which is parsed by algorithms to derive action items automatically in the Meeting Timelines interface. Furthermore, meeting hosts can now bring their own interpreter with a mutli-channel audio experience that mixes the original and interpreter audio, enabling listeners to understand the interpreter while hearing the original speaker's tone.