On Wednesday, Qualcomm revealed its first concrete details of the Snapdragon 845, the next-generation mobile chip that stands a good chance of being in your next smartphone. The 845 will ship in early 2018, and appear in phones sometime after that. Qualcomm calls the Snapdragon 845 a chip to improve both artificial intelligence and immersion, blending the future of smart devices with the past. At its heart lies the Kryo 385, the semi-custom, upgraded CPU. That represents a 25- to 30-percent improvement over the existing Snapdragon 835 in the performance cores, and a 15-percent improvement in the smaller, energy-efficient cores.

If you thought this year's Android flagship phones were fast, wait until next year. Qualcomm has unveiled its next-generation chip, the Snapdragon 845, and it's more than just the next number in the evolution: It's a ground-up redesign of the platform's architecture. And it's sure to have a profound affect on next year's crop of premium Android handsets. While the 835 was mostly focused on performance and speed, the 845 brings a slew of enhancements to how phones will use the processor for AI, photos, and, of course, battery life. We'll probably have to wait until the Galaxy S9 to see it in action--Samsung is once again the manufacturing partner--but once the new chip arrives, it will mean great things for mobile power users.

The next-generation mobile processor that you'll most likely find in many of next year's major flagships is here. At its second annual tech summit today, Qualcomm unveiled the Snapdragon 845, which is its latest "premium" mobile CPU. The chipset will retain the same 10nm footprint as its predecessor, but feature revamped architecture that brings about new features like 4K HDR video capture on smartphones and improved AI processing. Qualcomm said it's focusing on AI, immersion, security and connectivity with the new chip. Immersion basically means the ability to capture and render the world around you at high resolutions and quality for more realistic results.

Leaked marketing materials may have revealed some new interesting information about the Huawei P11. Apparently, Huawei's next flagship Android smartphone might arrive with a triple-lens camera system. The rumor on the Huawei P11's camera was based on some images from a digital artist that's working at one of Huawei's creative agencies, according to notorious leaker Evan Blass (@evleaks). The images are part of "PCE Series" ads, and they appear to confirm that Huawei is once again working with Leica, the German company known for high-end cameras and lenses. The involvement of Leica with the Huawei P11 isn't a huge surprise since Leica has already co-engineered the dual-camera system on Huawei's previous smartphones.

Artificial intelligence companies have shown off their tracking technology at the World Internet Conference in China - giving a glimpse of how citizens are being watched everyday. Companies such as China's facial recognition start-up Face showed how their technology is already being used to identify and describe people. For the first time, the'Big Brother' conference was attended by top executives like Tim Cook of Apple, Sundar Pichai of Google and Jack Ma of Alibaba. Guided by the hand of the state, tracking technology has become widely accepted in China and this vast data collection could mean these companies have an edge over American competitors. One company present at the World Internet Conference in Wuzhen was Face which used its technology to identify people in the audience's gender, hair length, colour and clothing.

With the strong demand for iPhone X, a Taiwanese supplier is predicting that the Cupertino giant's rivals will also adopt the 3D sensing technology Apple used on the 10th anniversary iPhone to their flagship handsets. The supplier is even predicting a rise in the demand for 3D sensing modules in the next 5 to 8 years. On Tuesday, DigiTimes reported that the chairman and CEO of digital camera and imaging solution supplier Altek, Alex Hsia, is expecting strong demand for 3D sensing modules in the following years now that Apple has introduced Face ID with its iPhone X flagship phone. "The structure-light 3D sensing technology adopted by Apple's iPhone X features high accuracy at short distances, and other first-tier smartphone vendors are expected to follow suit by launching 3D sensing-enabled devices," Hsia said. The CEO predicts that consumers will see more smartphones with 3D sensing technology starting next year.

Artificial intelligence is coming to your phone. The iPhone X has a Neural Engine as part of its A11 Bionic chip; the Huawei Kiri 970 chip has what's called a Neural Processing Unit or NPU on it; and the Pixel 2 has a secret AI-powered imaging chip that just got activated. So what exactly are these next-gen chips designed to do? As mobile chipsets have grown smaller and more sophisticated, they have started to take on more jobs and more different kinds of jobs. Case in point, integrated graphics -- GPUs now sit alongside CPUs at the heart of high-end smartphones, handling all the heavy lifting for the visuals so the main processor can take a breather or get busy with something else.

Artificial intelligence is coming to your phone. The iPhone X has a Neural Engine as part of its A11 Bionic chip; the Huawei Kiri 970 chip has what's called a Neural Processing Unit or NPU on it; and the Pixel 2 has a secret AI-powered imaging chip that just got activated. So what exactly are these next-gen chips designed to do? As mobile chipsets have grown smaller and more sophisticated, they've started to take on more jobs and more different kinds of jobs. Case in point, integrated graphics--GPUs now sit alongside CPUs at the heart of high-end smartphones, handling all the heavy lifting for the visuals so the main processor can take a breather or get busy with something else.

With the widespread use of information technologies, information networks have increasingly become popular to capture complex relationships across various disciplines, such as social networks, citation networks, telecommunication networks, and biological networks. Analyzing these networks sheds light on different aspects of social life such as the structure of society, information diffusion, and different patterns of communication. However, the large scale of information networks often makes network analytic tasks computationally expensive and intractable. Recently, network representation learning has been proposed as a new learning paradigm that embeds network vertices into a low-dimensional vector space, by preserving network topology structure, vertex content, and other side information. This facilitates the original network to be easily handled in the new vector space for further analysis. In this survey, we perform a thorough review of the current literature on network representation learning in the field of data mining and machine learning. We propose a new categorization to analyze and summarize state-of-the-art network representation learning techniques according to the methodology they employ and the network information they preserve. Finally, to facilitate research on this topic, we summarize benchmark datasets and evaluation methodologies, and discuss open issues and future research directions in this field.

Over a third of the nearly 22 million comments that poured into the Federal Communications Commission regarding its plan to repeal net neutrality protections included one of seven identical messages. More than half were associated with duplicate or temporary emails, including some 7,500 affiliated with the address "example@example.com." Dozens included references to the animated film Bee Movie, a film about a disillusioned worker bee that has become fodder for several popular memes. Roughly one million comments came from Pornhub.com email addresses. And more than 7,000 comments were submitted by a gentleman--or woman--named, simply, The Internet.