To provide some context, I posted about the idea of learning coding for machine learning / deep learning in a weekend We have had considerable success with this – and now we are planning the next stage. Created and managed by Ajit Jaokar, Dan Howarth, Ayse Mutlu - London UK. we welcome other community moderators. I highly recommend Chris Albon book – however the book itself is not free. Don't forget to join the group for the free books

New AI capabilities that can recognize context, concepts, and meaning are opening up surprising new pathways for collaboration between knowledge workers and machines. Experts can now provide more of their own input for training, quality control, and fine-tuning of AI outcomes. Machines can augment the expertise of their human collaborators and sometimes help create new experts. These systems, in more closely mimicking human intelligence, are proving to be more robust than the big data-driven systems that came before them. And they could profoundly affect the 48% of the US workforce that are knowledge workers--and the more than 230 million knowledge-worker roles globally.

In this tutorial, you will learn how to perform liveness detection with OpenCV. You will create a liveness detector capable of spotting fake faces and performing anti-face spoofing in face recognition systems. How do I spot real versus fake faces? Consider what would happen if a nefarious user tried to purposely circumvent your face recognition system. Such a user could try to hold up a photo of another person. Maybe they even have a photo or video on their smartphone that they could hold up to the camera responsible for performing face recognition (such as in the image at the top of this post).

"digital workers" that can take on employees' repetitive and routine tasks -- promise to help elevate affected employees to higher-level, more creative tasks. All good stuff, but as the bots save an hour here and an hour there, is it possible to track the value of these new hours? How will employees know what direction to take things as they are liberated from low-value tasks? These were among the questions explored in an executive roundtable hosted by Automation Anywhere at its recent New York conference. Enterprise bots are taking on a range of tasks, from organizing workflows to collecting data.

A pillar box red electric train connects Paris, Verona and Grenada via Budapest's Liberty Bridge and on to Heidelberg Castle in a 120-hectare fantasy business park dreamt up by the Chinese billionaire Ren Zhengfei. Ren, 74, a former Red Army engineer who founded the telecommunications company Huawei in 1987 and still owns a 1.14% stake, asked the Japanese architect Kengo Kuma to recreate some of Europe's most historic cities. He hoped to inspire an army of 25,000 research and development staff to challenge Apple, Google and Samsung. While its US competitors keep their research facilities on lockdown to prevent corporate espionage (oft allegedly by the Chinese), Huawei is inviting the world's media into its labs and factories in an attempt to dispel the US government's claims that the privately held company is an arm of the Chinese state and that its technology could be used to hack into western governments. US politicians allege that Huawei's forthcoming 5G mobile phone networks could be hacked by Chinese spies to eavesdrop on sensitive phone calls, gain access to counter-terrorist operations – and potentially even kill targets by crashing driverless cars.

Uber's self-driving car unit has been valued at $7.3bn (£5.6bn), after receiving $1bn of investment by a consortium including Toyota and Saudi Arabia's sovereign wealth fund. With weeks to go until the loss-making San Francisco firm's stock market float, expected to value the company at up to $100bn, Uber said it had secured new financial backing for its plans to develop autonomous vehicles. Japanese carmakers Toyota and its compatriot Denso, a car parts supplier, will invest a combined $667m in Uber's Advanced Technologies Group (ATG). The remainder will come from Japanese conglomerate SoftBank's $100bn Vision Fund, whose largest investor is Saudi Arabia. Toyota and SoftBank are already major investors in Uber, with the latter owning 16%.

SHANGHAI - Global automakers are positioning themselves for a brave new world of on-demand transport that will require a car of the future -- hyper-connected, autonomous and shared -- and China may become the concept's laboratory. With ride-hailing services booming and car-sharing not far behind, the need for vehicles tailored to these and other evolving mobility solutions is one of the hottest topics among global automakers gathered for this week's Shanghai Auto Show. Nearly all agree that there is no better proving ground than China: Its gigantic cities are desperate for answers to gridlock and its population is noted for its ready embrace of new high-tech services. To take advantage of this, manufacturers are competing not only to sell conventional and electric vehicles in the world's biggest auto market, but also to develop new technologies and even specific interiors designed for the on-demand world. "We cannot just develop electric cars. They will have to be smart, interconnected and of course shared," Zhao Guoqing, vice president of Chinese auto giant Great Wall Motors, said on the auto show's sidelines.

Nippon Telegraph and Telephone Corp. (NTT) said Thursday it will launch a trial for a farming support service using drones and artificial intelligence technology, with a goal of commercializing the service in Japan and other Asian countries. The new system, which connects drones with GPS satellites, is anticipated to help the farm industry in the nation amid a serious labor shortage. NTT aims to raise crop output by up to 30 percent through the new service. The telecommunications giant will conduct the trial service on 8 hectares of a rice field in Fukushima Prefecture from later this month to March 2021. It aims to launch the service on a commercial basis in Japan in two years.

The FBI has failed to appease concerns about the use of its facial recognition technology in criminal investigations. Multiple issues were raised three years ago after a congressional watchdog urged the bureau to improve its practices in order to meet privacy and accuracy standards. The FBI - and other US law enforcement agencies - have been using the Next Generation Identification-Interstate Photo System since 2015. It uses facial recognition software to link potential suspects to crimes from a vast database of 30 million pictures, including mugshots. The report slamming the FBI for its failure to moderate the software comes as the bureau increases its use of the technology.

I've said for years that Assassin's Creed is more impressive for its art nowadays than the games themselves, but still, who would've guessed that one day Assassin's Creed would be used to restore a priceless piece of architectural history? That news, plus a new Lego Star Wars, an Old Republic expansion and potential film adaptation, details for Netflix's Witcher series, a remake of cult classic shooter XIII, and more. This is gaming news for April 15 to 19. This week's first freebie is a big one, relatively speaking. You probably heard that Cathédrale Notre-Dame de Paris caught on fire this week.