British defence company BAE Systems is developing a pilotless plane Engineers have launched a series of test flights which use computers The plane is controlled by an infra-ref'electronic eye' camera in a cockpit The plane is controlled by an infra-ref'electronic eye' camera in a cockpit The remote-control passenger plane will have a cockpit-mounted camera which acts as'electronic eye' Incredible NASA photographs from space show how New Zealand... New Zealand rocked by'severe' magnitude 5.5 earthquake -... Incredible NASA photographs from space show how New Zealand... New Zealand rocked by'severe' magnitude 5.5 earthquake -... Man punches kangaroo in the face to save dog being strangled Mob storm police station and lynch suspected paedophile Boy shows amazing talent impersonating Winifred from Hocus Pocus Watch the original 1972 trailer for'Last Tango in Paris' Amazon staff work tirelessly to get parcels out to customers 73-year-old ex-Marine punches bear in the face to save his dogs Moment judge gets slapped in the face at 2016 IFBB Diamond Cup The hunt for Hillary Clinton on Saturday Night Live 100 special police agents protect suspected paedophile from mob Can you spot something odd about The Apprentice'walk of shame'? Can you spot something odd about The Apprentice'walk of shame'? Desperate families and friends of party-goers missing after... 'Roo want a piece of me? Kangaroo grabs a dog in a headlock... Pictured: Twelve victims identified as firefighters recover... Is Europe's Brexit revolution over? Gloating left-wing... Teenage Afghan immigrant is arrested in Germany after the... 'Totally biased, not funny and the Baldwin impression just... Fury at the man behind illegal artist enclave where up to 33... Uber can now track passengers' locations after they are... EXCLUSIVE: The'arrogant' man behind illegal artist enclave...

This is the 2-part blog version of a talk I've given at DOAG Conference this week. I've also uploaded the slides (no ppt; just pretty R presentation;-)) to the articles section, but if you'd like a little text I'm encouraging you to read on. That is, if you're in the target group for this post/talk. For this post, let me assume you're a SQL girl (or guy). With SQL you're comfortable (an expert, probably), you know how to get and manipulate your data, no nesting of subselects has you scared;-).

The human mind constantly seeks patterns in the raw data which comes in from the senses. Most of the times, those patterns add up to useful information which guides our behaviour. In other instances, the patterns might be there, but the interpretation of them can lead us astray. When Jesus appears in a piece of toast, for example, a false positive has been produced which relies to an extent on the framework within which the disciple interprets the image. The faithful see Jesus and ascribe meaning to the apparition.

NEW DELHI: In a first for Indian carriers, Air India is rationing the number of alcoholic drinks being served to its premium international passengers at airport lounges across India. The AI move follows a recent plea by several Indian airlines to aviation authorities to restrict passengers' access to liquor at departure terminals to check increasing incidents of unruly behaviour by tipsy flyers. Tagged In Artificial Intelligence India Airport Beer Kolkata Chhatrapati Shivaji International Airport Air India Indira Gandhi International Airport Wine Gin Rum Chennai International Airport Indian (airline) Go Air Indi Go Airport Lounge Rajiv Gandhi International Airport Recently actually had the time to visit a very controversial exhibition in Palazzo Strozzi, by Chinese artist Ai WeiWei. Apple has given its clearest indication yet that it's working on a self-driving car – or at least working with car manufacturers to make the plans a reality. Tagged In The Wall Street Journal Wired (magazine) Apple Inc Washington, D C Minivan Mc Laren Machine Learning National Highway Traffic Safety Administration Victoria (australia) Financial Times Mc Laren Technology Group Paul Krugman would stand in line to meet Charlie Stross.

"When my father was misdiagnosed and administered the wrong medication placing him in a coma nearly 20 years ago, I saw firsthand the need for technology to help physicians make accurate decisions," said Tanveer Syeda-Mahmood, IBM Fellow and Chief Scientist of the Medical Sieve Radiology Grand Challenge Project at IBM Research – Almaden in San Jose, Calif. This week in Chicago, Dr. Syeda-Mahmood's mission meets the real world as IBM Research debuts a new Watson-powered demo that shows the future of Artificial Intelligence (AI) in radiology. The demo is the result of a shared vision by Dr. Syeda-Mahmood and Dr. Eugene Walach from IBM Research – Haifa to help radiologists make accurate patient diagnoses quickly and easily. In any given day, radiologists can review up to thousands of medical images to make health diagnoses. To date, accuracy has relied mainly on medical professionals piecing together multiple sources of clinical information visually and manually to make critical decisions, including electronic health records, research publications and other data.

The next Angry Birds AI competition will be held at IJCAI 2017 in Melbourne, Australia, August 24-25, 2017. For more details please refer to the Call for Participation and the detailed Competition Rules. This year we will again have two competition tracks, the standard track and a competitive track where two AI agents try to solve the same level with alternating shots. Previous Angry Birds AI competitions were held in Sydney in December 2012 during the Australasian AI conference, in Beijing in August 2013 during the IJCAI conference, in Prague in August 2014 at the ECAI conference, in Buenos Aires in July 2015 at the IJCAI conference, and most recently at the IJCAI 2016 conference in New York. Further details about these past competitions can be found here.

Amazon Lex, Amazon Polly, and Amazon Rekognition are based on the same proven, highly scalable Amazon technology built by the thousands of deep learning and machine learning experts across the company. Amazon AI services all provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Amazon AI services are fully managed services so there are no deep learning algorithms to build, no machine learning models to train, and no up-front commitments or infrastructure investments required. This frees developers to focus on defining and building an entirely new generation of apps that can see, hear, speak, understand, and interact with the world around them. To learn more about Amazon Lex, Amazon Polly, or Amazon Rekognition, visit: https://aws.amazon.com/amazon-ai

Artificial intelligence (AI) shows a lot of promise yet some of the most recent news seems a bit alarming. Two AI agents were programed to communicate privately and they created their own cryptography. AI is now improving its capabilities by dreaming. And AI predicted correctly that Trump would win the presidency. Naturally, these events are causing people to ask a lot of questions about AI.

Driven by a declining population, a trend for developing robotic babies has emerged in Japan as a means of encouraging couples to become "parents". The approaches taken vary widely and are driven by different philosophical approaches that also beg a number of questions, not least whether these robo-tots will achieve the aim of their creators. To understand all of this it is worth exploring the reasons behind the need to promote population growth in Japan. The issue stems from the disproportionate number of older people. Predictions from the UN suggest that by 2050 there will be about double the number of people living in Japan in the 70-plus age range compared to those aged 15-30.

Analyses performed using Spark of brain activity in a larval zebrafish: embedding dynamics of whole-brain activity into lower-dimensional trajectories. This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications. The growth of data volumes in industry and research poses tremendous opportunities, as well as tremendous computational challenges. As data sizes have outpaced the capabilities of single machines, users have needed new systems to scale out computations to multiple nodes. As a result, there has been an explosion of new cluster programming models targeting diverse computing workloads.1,4,7,10 At first, these models were relatively specialized, with new models developed for new workloads; for example, MapReduce4 supported batch processing, but Google also developed Dremel13 for interactive SQL queries and Pregel11 for iterative graph algorithms. In the open source Apache Hadoop stack, systems like Storm1 and Impala9 are also specialized. Even in the relational database world, the trend has been to move away from "one-size-fits-all" systems.18 Unfortunately, most big data applications need to combine many different processing types. The very nature of "big data" is that it is diverse and messy; a typical pipeline will need MapReduce-like code for data loading, SQL-like queries, and iterative machine learning. Specialized engines can thus create both complexity and inefficiency; users must stitch together disparate systems, and some applications simply cannot be expressed efficiently in any engine. In 2009, our group at the University of California, Berkeley, started the Apache Spark project to design a unified engine for distributed data processing.