Computer scientists from MIT and a machine learning startup, PatternEx, have reportedly developed a new system that can correctly detect 85% of cyberattacks using artificial intelligence merged with input from human experts. At the moment, security systems are closely monitored by humans and programmed to pick up on cyberattacks that only follow very specific rules, as such missing any attacks that do not follow those rules. But, there are also systems autonomously run by computers that practice anomaly detection – i.e. the identification of items, events or observations – that do not conform to an expected pattern or other items in a dataset. This method often leads to false positives, meaning that humans doubt the reliability of the system and are forced to go back and check all the results anyway. To improve this, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), in collaboration with PatternEx, have developed the AI2 artificial intelligent platform, which merges three different machine learning methods that enable computers to learn unsupervised.

Artificial Intelligence (AI) is a modern computing field that attempts to augment machine development to the point where it transcends human intelligence. The subject incorporates the concepts of computation and statistics with brain physiology, to create autonomous sentient machines capable of extrapolating independent conclusions. The success to creating a successful AI is contingent upon success to build machines that can learn and correct themselves. So, recent AI endeavors have been inclined toward Machine Learning Algorithms. These Algorithms use statistical and probabilistic approaches to create either supervised or unsupervised learning algorithm.

The finance world is cautiously optimistic about the future of artificial intelligence and how it can be used, but, there is more work needed on regulating the technology when it comes to world markets. "Financial institutions have been fined billions of dollars because of illegality and compliance breaches by traders. A logical response by banks is to automate as much decision-making as possible, hence the number of banks enthusiastically embracing AI and automation," said Baker and McKenzie head of financial services regulation Arun Srivastava. "But while conduct risk may be reduced, the unknown risks inherent in aspects of AI have not been eliminated." The law firm's research found more than 400 senior executives working in finance and fintech believe artificial intelligence (AI) will have the most impact on trading, financial analysis and IT over the next three years.

It's a topic that has been explored countless times in the annuls of science fiction...human dominance subsumed by ever more intelligent machines. Mankind, in an attempt to create the ultimate simple life where most tasks are carried out by untiring automatons, inadvertently creates its own ironic extinction. The signs are everywhere...Google's Self-Driving Car, fully-automated factories, and of course human-like robots (replicants?) These machines/cyborgs or whatever you decide to classify them as have been developing at a rapid pace within a timescale that is minute compared to the entire history of computing. Some may (hopefully misguidedly) suggest that we are headed towards a Technology Singularity where we've created artificial intelligence (AI) so powerful that it is capable of not only self-improvement of its own faculties but full replication in an endless array of iterations more intelligent than its previous versions.

These "20 percent time" efforts have resulted in Google News, Gmail and AdSense, but it can be difficult for Googlers to find spare time for such projects. Meanwhile, successful examples of Google employees who have parted ways with the company include Pinterest co-founder Ben Silbermann and Instagram co-founder Kevin Systrom. Area 120 reportedly will have a space inside one of the tech giant's San Francisco offices, and teams at Google can apply to join it full time for several months by pitching a business plan. These employees will then have a chance to establish a new company with Google as an investor. Google also has increased its focus on entrepreneurial efforts by splitting its core search engine business away from its new parent entity Alphabet, which nurtures moonshot projects like the Google self-driving car and acquisitions like smart thermostat maker Nest. Alphabet also houses startup funding efforts Google Ventures and Google Capital.

The U.S. government believes the Internet of things (IoT) has enormous economic potential across all industries. Its machine-to-machine technologies can reduce automobile-related injuries, usher in an era of precise weather forecasting and automate all types of processes. But what impact will IoT have on jobs? Will it create more than it destroys? And what happens to all the data devices generate?

One night in late July 2014, a journalist from the Chinese newspaper Southern Weekly interviewed a 17-year-old Chinese girl named XiaoIce (pronounced Shao-ice). The journalist, Liu Jun, conducted the interview online, through the popular social networking platform Weibo. LJ: So many people make fun of you and insult you, why don't you get mad? LJ: What if your father leaves you one day unattended? XiaoIce: Don't try to stir up trouble, what do you want?

Tesla Motors Inc (NASDAQ:TSLA) is riding on a free wave of notoriety since the start of this year. The firm continues to lead an industry in transition away from internal combustion engines and toward all electric power. Most of the media attention lately comes from the introduction of the "affordable" Tesla Model 3. That car won't even begin delivery until late next year but over 400k people have paid 1000 each just to get in line to buy one. One of the features that will be available on the Model 3 is Autopilot. Tesla gets a lot of attention for its Autopilot feature that provides properly equipped Model S and Model X SUVs with self-driving abilities on highways.

It took 400 million years for the first life to appear on Earth. It took seven minutes for the system to create one of its' own kind. This is the beginning of HOUND project - a game, where you are able to create living things - eating, breathing, struggling for survival in the name of natural selection. If you ever had a fantasy of following Dr. Frankensteins' footsteps or playing God in basically any way, possible, this game is for you! Minimalistic open world sandbox, HOUND projects' "system" provides you with abilities to Manipulate artificial intelligence directly - it takes millions of years for living things to evolve on Earth.

Professor Toby Walsh, Professor of Artificial Intelligence at the University of New South Wales will be giving a lecture on the future of robotics tomorrow at UCT. Professor Walsh is currently on the Executive Council of the Association for the Advancement of Artificial Intelligence, and an advocate of the'Campaign to Stop Killer Robots'. He is also Editor-in-Chief for the Journal of Artificial Intelligence Research. John Maytham speaks to Professor Walsh to find out more about the lecture he will be delivering, and the interesting subject of artificial intelligence. AI is trying to build computers to do things that we would normally think of as intelligent and its starting to pervade our lives. He says artificial intelligence is starting to take over more aspects of the things humans do.