Analysts at Bank of America have reportedly suggested there is a 20 to 50 per cent chance our world is a Matrix-style virtual reality and everything we experience is just a simulation. The report, which was issued to clients, also implies even if our world was an illusion, we would never know about it. Bank of America Merrill Lynch backed up the claims by citing comments from leading philosophers, scientists and other thinkers. BANK OF AMERICA: There's a 20%-50% chance we're inside the matrix and reality is just a simulation Myles Udland pic.twitter.com/TltpYbjPxI "It is conceivable that with advancements in artificial intelligence, virtual reality, and computing power, members of future civilizations could have decided to run a simulation of their ancestors," the report stated.

While you might be playing GTA to remorselessly run over people for fun, researchers are now using the popular game to train computers how to better navigate self-driving cars in the real world. Scientists from Darmstadt University in Germany and Intel Labs have developed a new clever method to source visual data from Grand Theft Auto that could then be fed to computers to teach vehicles how to drive autonomously. Momentum by TNW is our New York technology event for anyone interested in helping their company grow. Although machine learning is enabling computers to quickly pick up new skills, the approach requires large quantities of information to work effectively – and data could be hard to find sometimes. It takes thousands of hours of real-world visual data in various scenarios to teach cars how to navigate on their own, but the researchers say information from games is easy to collect and can be "almost as good, or sometimes even better" than real data.

Free catered lunch and a dog-friendly office are two of the perks offered by an educational technology company in Palo Alto, Calif., that's looking to hire a machine learning engineer. The position, posted on Dice, will pay between 140,000 and 160,000 to the right candidate who's skilled in machine learning platforms as well as data mining, statistical modeling, and natural language processing. Job-seekers who possess those skills typically could expect multiple job offers, says Matt Leighton, director of recruitment at Mondo, which specializes in digital marketing and technology staffing. The job titles vary from company to company; some might post positions in search of a data scientist or machine learning engineer, others might be after a natural language processing (NLP) programmer or cognitive computing engineer. But hiring companies are seeking the same talent: "They're people who create algorithms through code that allow computers to self-learn," Leighton says.

Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for other centers or at different time points. The first method has been proposed by Elkan and may be used for updating any machine learning approach yielding consistent probabilities, so-called probability machines. The second approach is a new strategy specifically developed for random forests. Using the terminal nodes, which represent conditional probabilities, the random forest is first translated to logistic regression models.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Machine learning's Predictive Analysis. The link takes you to a corresponding product in The Art of Service's store to get started. The Art of Service's predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications. The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions.

On April 13th 2016, Norway's Prime Minister was hosted in Singapore by Norway's leading multinational company DNV GL. The PM unveiled -The Hive- a fully autonomous drone docking station developed by SwarmX a one year old startup. Pulkit Jaiswal the 23year old CEO of SwarmX who I interviewed over skype as part of my coverage of the global event for tech startups Rise was understandably elated at the development. Pulkit with two other co Founders created SwarmX in April 2015. Prior to that, he spent three years building Garuda Robotics along with two other Founders.

At SAS's Analytics Experience conference in Las Vegas yesterday, the analytics powerhouse unveiled two new additions to its SAS Viya analytics platform aimed at supporting cognitive computing: SAS Visual Investigator and SAS Visual Data Mining and Machine Learning. "Cognitive computing is disruptive, combining technologies such as natural language processing, image processing, text mining and machine learning to augment human intelligence," Oliver Schabenberger, SAS executive vice president and CTO, said in a statement yesterday. "SAS has supported cognitive technologies in analytics for decades. The exciting change is applying deep learning and high-performance computing to achieve greater automation and accuracy in the interaction between computers and people." Visual Investigator is a new, cloud-ready investigation and alert management product designed to help intelligence analysts and investigators uncover insider threats, disease outbreaks, loan risks, drug trafficking, fraud and other emerging issues.

Natural language processing (NLP) software algorithms for mammographic imaging characteristics and mammogram reports provide an automated means to aid in data extraction and analysis for clinical decision support, according to a study published in Cancer. Using the enterprise-wide data warehouse at the Houston Methodist Hospital, the Methodist Environment for Translational Enhancement and Outcomes Research (METEOR), for patients with Breast Imaging Reporting and Data System (BI-RADS) category 5 mammogram readings, researchers developed NLP software algorithms to automatically extract mammographic and pathologic findings from free text mammogram and pathology reports. The patients had undergone breast biopsy within three months of the date of their abnormal mammogram, between January 2006 and May 2015. A total of 543 patients who met the inclusion criteria were identified using the NLP algorithm to obtain key characteristics. The results showed that patients with estrogen receptor-positive tumors were more likely to have spiculated margins, and those with tumors that overexpressed human epidermal growth factor receptor 2 (HER2) were more likely to have heterogeneous and pleomorphic calcifications.Stephen T. Wong, PhD, PE "This software intelligently reviews millions of records in a short amount of time, enabling us to determine breast cancer risk more efficiently using a patient's mammogram. This has the potential to decrease unnecessary biopsies," lead author Stephen T. Wong, PhD, PE, chair of the Department of Systems Medicine and Bioengineering at Houston Methodist Research Institute, said in a release.

Analysis Nvidia has designed a couple of new Tesla processors for AI applications – the P4 and the P40 – and is talking up their 8-bit math performance. The 16nm FinFET GPUs use Nv's Pascal architecture and follow on from the P100 launched in June. The P4 fits on a half-height, half-length PCIe card for scale-out servers, while the beefier P40 has its eyes set on scale-up boxes. The new pair are aimed mainly at inference work, ie: you give the hardware a trained AI model, some suitable software, and input data like video from a camera or sound from a microphone, and it spits out decisions, speech-to-text translations, object classifications, and so on. We've reached the stage now where deep-learning models are so elaborate – having being constructed on powerful systems using mountains of training data – that the inference side has to catch up: you need a decent number-crunching processor to push information through a complex neural network to make decisions in real time.

Baidu Inc said on Tuesday that it has launched its first venture capital firm focusing on artificial intelligence - the Chinese online search behemoth's latest effort to stake out a spot in the burgeoning technology field. Called Baidu Venture, the new company will focus on early-stage projects in artificial intelligence and other next-generation technologies, such as augmented reality and virtual reality, according to a statement from Nasdaq-listed Baidu. Robin Li, Baidu's chief executive officer, is the chairman of the venture capital firm. For its first stage, the firm is equipped with an initial investment fund of US 200 million. Baidu said in its statement that the company would be an independent entity, separate from the company's existing investment and acquisition team, so that it could "use an innovative evaluation mechanism to speed up the decision-making process and make investments more efficient."