A.I. Artificial Intelligence tell story about "Eleven-year-old David is the first android with human feelings. He is adopted by the Swinton family to test his ability to function. Before they are done testing him though David goes off on his own following his wish to be a human. He is on an odyssey to understand the secret to his existence. A science fiction film from Steven Spielberg taken over from Stanley Kubrick..".

A new paradigm will shake up the IP landscape, as cognitive activities once performed by humans will now increasingly be performed by machines. Artificial intelligence and machine learning (collectively AI) are hot topics in almost every industry, affecting everything from robotics, autonomous vehicles, and consumer devices to health and pharmaceutical technologies. AI is being used to solve complex problems and improve decision making, as well as to develop new products and processes. AI systems utilize algorithms that enable those systems to learn and develop through the analysis of information they are provided, oftentimes without human intervention or instruction. U.S. Patent Law defines the inventor as "the individual or, if a joint invention, the individuals collectively who invented or discovered the subject matter of the invention."

First was the Monte Carlo tree search, an algorithm that rather than attempting to examine all possible future moves instead tests a sparse selection of them, combining their value in a sophisticated way to get a better estimate of a move's quality. The second was the (re)discovery of deep networks, a contemporary incarnation of neural networks that had been experimented with since the 1960s, but which was now cheaper, more powerful, and equipped with huge amounts of data with which to train the learning algorithms. The combination of these techniques saw a drastic improvement in Go-playing programs, and ultimately Google DeepMind's AlphaGo program beat Go world champion Lee Sedol in March 2016. Now that Go has fallen, where do we go from here? Following Kasparov's defeat in 1997, scientists considered that the challenge for AI was not to conquer some cerebral game.

Businesses are increasingly talking to their customers using instant messaging and social media. These conversations contain valuable insight into the underlying causes of user behaviour. However, this channel is significantly underused because of the challenges posed by analysing informal, poorly spelt, user generated text. Traditional natural language processing is based on rules and hand engineered features which makes it too inflexible. On-boarding new languages requires human expert knowledge making it also prohibitively expensive.

Advancements in AI were recently spotlighted by AlphaGo, a computer program developed by Google's DeepMind team. The program -- which relies on decision-making algorithms and neural networks -- defeated a human European champion at the board game Go in a feat previously believed to be years away. On the investor side, Jim Breyer of Breyer Capital has said AI will deliver massive returns for investors betting on applications for industries including healthcare and entertainment. With this in mind, we used CB Insights' database to look at funding to artificial intelligence startups since 2010. Our artificial intelligence category covers startups primarily focused on developing AI, across areas including image processing, natural language processing, machine learning, deep learning, and predictive APIs, among other core applications.

As the automation of work processes continues apace by means of artificial intelligence, what does this mean for our jobs? Research carried out by McKinsey, analysing around 2,000 individual work activities, suggests that, rather than eliminating jobs altogether, automation will take over discrete tasks and thus redefine current roles – at least in the short term. Here are McKinsey's four fundamentals of workplace automation: Almost half of the activities individuals are paid to perform could be automated using currently available technologies. Narrative Science's artificial intelligence system, Quill, for example, can analyse raw data and write reports in natural language that readers would assume had a human author – all in a matter of seconds. In short, automation is likely to change the vast majority of occupations – at least to some extent.

To find out just how advanced our current AI systems are, researchers have developed a tougher Turing Test - called the Winograd Schema Challenge - which measures how well robotic intelligence matches human intelligence. In the end, the team found that - even though AI is definitely improving every day - our robotic pals are still seriously lacking some common sense, suggesting that it will be some time before AI is fully ready to meld with society. First, before we go any further into the new competition's results, it's important to define what a'Turing Test' actually is. Developed and coined by Alan Turing back in the 1950s, the Turing Test is a way for researchers to challenge computer-based intelligence to see if it can become indistinguishable from human intelligence, which is basically the goal for AI researchers. These tests are mostly language-based because human language is - when you truly think about it - super weird.

Basho Technologies announced the open sourcing of Riak TS 1.3. Riak TS is specifically geared for handling time series data – it supports fast write and query for time series data. In addition, Riak TS supports Data Aggregators and Arithmetic operations, integration with Apache Spark via the Spark connector, Client support for Java, Erlang and Python, and standard SQL based Query system. Riak TS 1.3 EE (Enterprise Edition) built on the open source version supports Multi-cluster Replication. A comprehensive list of features is listed in the release notes.

MNIST is the "Hello World" of machine learning. With this tutorial, you can train on MNIST with a single-layer neural network. By applying a more complex algorithm, Lenet, to MNIST, you can achieve 99 percent accuracy. Lenet is a deep convolutional network. Word2vec is a popular natural-language processing algorithm capable of creating neural word embeddings, which in turn can be fed into deeper neural networks.

After decades of stagnation in research and development of artificial intelligence solutions, machine learning has blossomed again – and its seeds are spreading to financial services. Sofia Lotto Persio reports on how AI is improving the field. Almost 20 years later, in March 2016, Google's AlphaGo programme beat South Korean champion Lee Sedol at four matches of Go, a strategy game, in what represents another historic breakthrough for artificial intelligence (AI). In the two-decade span between these achievements, AI has progressed tremendously. Go is a much more complex game than chess, as there are more possible positions on the board than there are atoms in the universe.