The Israeli security forces have started to remove metal detectors installed at entry points to al-Aqsa Mosque compound in the occupied East Jerusalem. Israel installed metal detectors and security cameras after gunmen shot dead two Israeli guards near al-Aqsa compound - Islam's third holiest site - on July 14. Al Jazeera's Imran Khan, reporting from occupied East Jerusalem, said that hundreds of Palestinians protested against the security cameras with advanced face recognition software that won't be removed. OPINION: The al-Aqsa metal detectors aren't a security measure "Israeli forces fired rubber-coated steel bullets, stun grenades at the protesters, and more security forces were placed at the Lions' gate of the mosque," our correspondent said.

I gotta give it up to Apple for pairing Dwayne "The Rock" Johnson with Siri -- yes, the iPhone's digital assistant -- for its latest TV commercial. This fall, Siri turns six, and while Apple has expanded the digital assistant's features over the years -- it now supports 21 languages, can control smart home devices, is built into macOS and Apple TV, etc. Bixby's spectacular failure at launch is good evidence that despite Siri's seemingly stunted evolution, taking things slow may not be the worst strategy. Make no mistake, Dwayne "The Rock" Johnson and Siri's mini film is a huge publicity stunt -- a reminder that, hey, Siri is still a thing and it does more now.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Columbia University are trying to make the process faster and easier: In a new paper, they've developed InstantCAD, a tool that lets designers interactively edit, improve, and optimize CAD models using a more streamlined and intuitive workflow. Traditional CAD systems are "parametric," which means that when engineers design models, they can change properties like shape and size ("parameters") based on different priorities. Matusik says InstantCAD could be particularly helpful for more intricate designs for objects like cars, planes, and robots, particularly for industries like car manufacturing that care a lot about squeezing every little bit of performance out of a product. "In a world where 3-D printing and industrial robotics are making manufacturing more accessible, we need systems that make the actual design process more accessible, too," Schulz says.

CrowdFlower, a company that helps customers build AI systems by providing them with training data, announced today that it's getting into the business of helping companies implement machine learning. It could help existing customers get unstuck with a system that isn't working, assist businesses that have already implemented one machine learning system get started with something completely new, and also get brand new customers started with implementing AI. This doesn't mean that CrowdFlower is abandoning its work providing companies with training data -- quite the contrary. Monica Rogati and Adrian Weller -- both veterans of the machine learning ecosystem -- will give CrowdFlower input on its technology and product strategy, as well as advising the company on developments in the AI ecosystem at large.

In the first place, to understand the context of adversarial machine learning, you should know about Machine Learning and Deep Learning in general. Adversarial machine learning studies various techniques where two or more sub-components (machine learning classifiers) have an opposite reward (or loss function). Most typical applications of adversarial machine learning are: GANs and adversarial examples. In GAN (generative adversarial network) you have two networks: generator and discriminator.

In this article we'll look at what it would take for an artificial intelligence to generate truly creative content marketing, and how close we are to living in a world with AI content marketers. For the purposes of this article, let's keep this restricted to a typical content marketing campaign that involves idea generation and content production in the forms of a video, some text-based articles with accompanying images, and social media promotion. News outlets can depend on AI to write accurate stories on events, but AI has also developed the ability to produce creative work through the usage of neural networks. Similar experiments have been undertaken to see how well an artificial intelligence system can understand the structure of literary works.

AI, Neural Networks, Machine Learning and other buzzwords are not new; they are with us from late 50s, but why did they become so much of a trend only now? The business focus changed from investing into so-called "artificial intelligence" to development of systems that could work with already gathered data, process and re-structurize it. Bayes was widely used in anti-spam, Markov's chains predicted criminal structure behavior, search engines developed decision trees to predict user input, speech and image recognition was no miracle anymore, and it was good. Basically, we returned to 50s -- we are trying to create universal structures, mimic human brain, and create entities that can process mixed data as our brains do.

The participants were shown male faces with varying facial features, such as wide and narrow noses, along with descriptions of their past behaviour, such as'sent flowers to someone who was sick,' or'laughed and jeered at a homeless person.' Using Amazon's Mechanical Turk tool, the researchers conducted six online experiments, including a total of 1,257 participants. Using Amazon's Mechanical Turk tool, the researchers conducted six online experiments, including a total of 1,257 participants. 'Finding that higher pattern detection ability puts people at greater risk to detect and apply stereotypes, but also to reverse them, implicates this ability as a cognitive mechanism underlying stereotyping,' Freeman says.

The vessel, developed by agriculture company Yara International ASA and high-technology systems firm Kongsberg Gruppen, will be loaded and unloaded automatically using electric cranes. Researchers have developed the world's first autonomous, zero-emissions cargo ship: The Yara Birkeland. Developed by agriculture company Yara International ASA and high-technology systems firm Kongsberg Gruppen, will be capable of autonomous mooring and route planning. Yara International and Kongsberg Gruppen aren't the only companies looking to develop autonomous ships - last year, Rolls Royce revealed plans to develop fleets of'drone ships,' with the first ships developed being ferries and then cargo ships to carry cargo around the world - all controlled from a central'holodeck'.

For the experiments, the research team set up four infrared cameras in a 400-seat theater, where is applied the FVAEs to 150 showings of mainstream movies. The FVAEs are searching for audience members who exhibit similar facial expressions throughout the movie to learn about the stereotypical reaction to a film, much like how online shopping companies recommend items for purchase. The FVAEs are searching for audience members who exhibit similar facial expressions throughout the movie to learn about the stereotypical reaction to a film, much like how online shopping companies recommend items for purchase. Disney Research performed the experiment on 150 showings of mainstream movies including'Inside Out,' 'The Jungle Book' and'Star Wars: The Force Awakens'