When Apple unveiled the seventh iteration of the iPhone yesterday, it made sure to play up the camera. After all, the company has a small army working on the iPhone's ability to take photos. The device's camera is also often touted as one of its most cherished features, keeping Apple's smartphone ahead of the competition. Yet in recent years, competition from Samsung and others has caught up to Apple's imaging lead. The newest Apple devices, the iPhone 7 and iPhone 7 Plus, are naturally more capable in the photo department than their predecessors.

While the convenience of getting groceries delivered to doorsteps is enticing, it tends to be a costly luxury. The vast majority of Americans are still strolling down store aisles themselves to check items off their shopping lists. And it's this demographic that startup Basket is targeting. The company is highlighting price transparency to helping people discover the best priced items at local stores. It does so by leveraging the power of the crowd. Basket has built up a database of grocery store items and their prices by tasking shoppers with capturing that information.

XGBoost is the high performance implementation of gradient boosting that you can now access directly in Python. The idea of boosting came out of the idea of whether a weak learner can be modified to become better.

We need a labelled dataset that we can feed into machine learning algorithm. Fortunately, some researchers published urban sound dataset. It contains 8,732 labelled sound clips (4 seconds each) from ten classes: air conditioner, car horn, children playing, dog bark, drilling, engine idling, gunshot, jackhammer, siren, and street music. The dataset by default is divided into 10-folds. To get the dataset please visit the following link and if you want to use this dataset in your research kindly don't forget to acknowledge.

The act of artificially intelligent beings taking over complex tasks typically reserved for human hands is no longer a fantasy of Hollywood fiction. In collaboration with 20th Century Fox, scientists at IBM Research have created the first-ever "cognitive movie trailer" for the upcoming science fiction thriller Morgan by utilizing experimental Watson application program interfaces -- in simpler terms, they used a complicated technological system which analyzed hundreds of horror movie trailers to gather information on scenes that keep audiences on-edge. After sifting through Morgan's finished cut, the program selected its 10 most appealing moments, which a (human) editor then crafted into a trailer for the movie. Directed by Ridley Scott's son, Luke, and starring Kate Mara, Paul Giamatti, Jennifer Jason Leigh, Michelle Yeoh, and Brian Cox, Morgan revolves around a risk-management consultant who must decide whether to terminate a self-sufficient, humanesque robot after it grows increasingly hostile. In July, Greenlight Essentials' Jack Zhang released a sneak peek at his new project, Impossible Things, an indie horror flick he wrote with help from an augmented intelligence software tool, which also crafted the film's trailer.

Artificial intelligence (AI) will not reduce the amount of hours you work as higher productivity will boost demand for the services you're offering, a senior UBS Wealth Management executive, told CNBC on Tuesday. Talking to CNBC's "Squawk Box Europe," Jamie Broderick, head of UBS Wealth Management U.K., said he wasn't convinced that AI would bring about the combination of higher productivity and fewer working hours. "The evidence is no, you don't actually get to that," Broderick told CNBC. "I think part of what's driving that is the fact that the consumer becomes more and more demanding about what it is we actually deliver to them…the consumer continually upgrades his demands and is requiring more specificity, more customization, and I think that's really what explains it." Broderick gave the example of financial regulators constantly upping their requirements from investment banks.

Kimera Systems Inc. announced its Nigel artificial general intelligence (AGI) technology became a commercially deployable artificial intelligence technology to observe user behavior, comprehend context, and derive a common sense set of actions to apply under specific circumstances. Nigel was able to observe that a movie theater is a type of location, and that people share common behaviors with respect to their phones when they visit this type of location. Through these observations, Nigel learned to proactively dim screens and silence smartphones when people enter a cinema. As an artificial general intelligence technology, Nigel represents a new approach that fuses together a broad range of hard and soft sensor data, resulting in continuous observation, moment-to-moment contextual awareness and soon, complete comprehension.

"Star Trek" first took viewers on a voyage to the Final Frontier 50 years ago on Sept. 8, 1966. That's when the original television show aired on NBC, introducing pop culture to a crew that would become iconic over the following half-century. But "Star Trek's" vision of the future didn't just inspire adoration for the swashbuckling Captain James T. Kirk or his logically inclined first officer, Spock. It also helped spur innovators to create technologies that have changed the way people live in the real world. Here are a few examples of the "Star Trek" tech that's now reality.

It is something that many companies are trying at the moment, with Google, Microsoft and Facebook all introducing personal assistants that are equivalents of Apple's Siri, originally created in 2010. Since then, with the introduction of technologies and collaborations with companies like Wolfram Alpha (who also work with several other companies), Siri has improved, but not to the extent that its potential is crying out for. One of the clearest examples of this was their move to a neural net based system in 2014, which significantly improved the virtual assistant, but still didn't allow it to achieve what many expected. In fact, few even noticed a difference.

No, this is not the beginning of a Terminator-esque world. But yes, it certainly is a start of major developments in computer vision and machine learning technology. Intel is intent to boost its RealSense platform by acquiring Dublin-based computer vision startup Movidius. With Intel's existing framework, coupled with Movidius' power-efficient system on chip (SoC), the pairing is bound to lead to major developments in consumer and enterprise products. "As part of Intel, we'll remain focused on this mission, but with the technology and resources to innovate faster and execute at scale. We will continue to operate with the same eagerness to invent and the same customer-focus attitude that we're known for," Movidius CEO Remi El-Ouazzane writes in a statement posted in their site.