Android users have long been able to personalise their phone's home screen by creating widgets and downloading launchers and icon packs. However, many users are unaware of this, and instead rely on their own pictures and their phone's pre-loaded wallpapers to keep their handset's look fresh. That's why Google has created the'myAndroid Taste Test', a short quiz designed to help users discover the perfect home screen design and layout for them. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Intel has shifted its self-driving car efforts into high gear with a $15.3 billion deal to acquire computer vision and collision-avoidance company MobileEye. With the deal, announced Monday, Intel gets its hands on technology for machine learning, data analysis, localization and mapping for driver assistance systems and autonomous driving. Mobileye develops a full package of software and chips designed for use in autonomous cars. The deal is expected to close in nine months and calls for the combined global autonomous driving organization, which will consist of Mobileye and Intel's Automated Driving Group, to be headquartered in Israel and led by Amnon Shashua, Mobileye's co-Founder, chairman and CTO. The acquisition of MobileEye will be merged with Intel technologies like Xeon processors, FPGAs (field programmable gate arrays), 3D Xpoint memory and 5G modems in autonomous cars said Brian Krzanich, Intel's CEO.

Google just killed the Captcha, perhaps the most obstructive thing on the entire internet. For years, Captcha served as the primary way of telling humans and robots apart on the internet. It made sure that the person looking to access a website was actually a human being – ensuring that robots couldn't be used to send spam or flood a website with requests, for instance. But over time, robots have gradually become too clever for the often simple tests – which early on required people to transcribe hard-to-read text. With that, the technologies have become more complex, too.

Intel is no longer satisfied just partnering with other companies to create self-driving cars: it wants to own the whole stack. The chip maker just announced it intends to purchase Jerusalem-based Mobileye for $15.3 billion. The two companies were already working together on various projects. The pair announced a partnership with BMW in July 2016 with the aim of putting an autonomous car on the streets by 2021. Then in November, the two companies partnered with auto parts maker Delphi to create the Automated Driving Group, which will create a self-driving car system that can be sold to automakers.

Technology is most successful when it impacts society in a positive way, and whilst Artificial Intelligence is still a sensitive subject for some, another benevolent application for AI has been found in fighting crime. AI powered platforms are brilliant at recognising patterns, which also means that they can pick out anomalies. That's why AI is such a valuable tool for detecting fraud, for instance. It can flag up suspicious behaviours amongst datasets that are so huge, human administrators wouldn't know where to start. The latest use of the technology to combat crime isn't on the streets, or even in the courts – it's a prison that is pioneering this new high-tech approach to security.

The two words that can send goosebumps to every college basketball fan in the country. It's the month where every fan will fill out a bracket, each thinking that they picked the right 12 over 5 seed upset or that they were the only one to pick the Cinderella team that makes it to the Elite 8. The month where people will spend hours watching regular season games, pouring over stats and expert analysis, trying to carefully predict the most likely winner, only to find their pick lose in the first round (Thanks Michigan State). The month where your younger sister ends up having a better bracket than you because she picked the teams with the "cooler" mascots (Sad, but true story). March Madness is the sports phenomenon that incites anxiety, regret, elation, and every other possible emotion in the spectrum. And it's about to start in 4 days.

Personally, I am working with Vamsi on some awesome content for an upcoming DZone item. I'm also preparing for Oracle Code New York, where I will be doing a talk on NiFi, Deep Learning, Machine Learning, NLTK, streaming, IoT, and Java microservices. Not sure how I will cram that into 45 minutes at 5 p.m. with a hands-on demonstration -- I think I will need compression. If you are at that event in two weeks, come say hi! Mention the secret password, "DZone," and get a free sticker. Check out the source for yourself in Using Python With Keras Intro of Deep Learning 4J (on top of Hortonworks HDP).

Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., will discuss how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management. Speaker Bio Sebastien Meunier is an expert in Innovation in Finance, with 14 years of experience in managing business and technology transformations in Financial Services, and among the top 10 Fintech influencers on social media. He is the Head of Digital for North America at the consulting firm Chappuis Halder & Co.

Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, will discuss the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.

One of the big problems in Artificial Intelligence is the gigantic amount of GPUs (or computers) needed to train large networks. The training time of neural networks grows quadratically (think squared) in function of their size. This is due to how the network is trained. For each example, the entire network is modified, even though some parts might not even activate while processing this particular example. However, the memory of a network is directly dependent on the size of the network.