Founded by Hollywood film composers Drew Silverstein, Sam Estes, and Michael Hobe, Amper Music is for anyone around the world who uses, consumes or creates music. Amper is especially appealing to content creators and developers. Using Amper, content creators can simplify their workflow and avoid the time, budgetary, and licensing frustrations of stock music. The music created with Amper receives a global, royalty-free, and perpetual license, eliminating the many legal and financial hurdles of traditional music licensing. Users can select a mood, genre and track duration, then customize the track with a multitude of easy-to-use editing functionality.

The ethics of artificial intelligence will be critical to the success of AI going forward, a Microsoft leader and a keynote speaker at the AI Day event in Auckland next week says. Steve Guggenheimer, corporate vice president of Microsoft's AI Business, says that given AI has the potential to reshape not just industries and governments, but society as a whole. "Working on the ethics of the use of AI, from the beginning, in key areas like transparency, accountability, privacy and bias will be crucial to the success of AI going forward. "There is a strong focus on the ethical implications of the AI systems that are being built and deployed." The European Commission's group on ethics in science and new technologies recently warned that existing efforts to develop solutions to the ethical, societal and legal challenges AI presents are a'patchwork of disparate initiatives'. It added that uncoordinated, unbalanced approaches in the regulation of AI risked ethics shopping, resulting in the relocation of AI development and use to regions with lower ethical standards. AI Day on March 28 is being organised by NewZealand.AI and the AI Forum NZ, which is part of the NZTech Alliance, bringing together 14 national tech communities, more than 500 organisations and more than 100,000 employees to help create a more prosperous New Zealand underpinned by technology. Guggenheimer says one important element around the adoption of AI is the focus on having AI help to amplify human capabilities and allow them to do more versus simply replacing people and functions. "As AI is adopted by various organisations we are starting to see a few trends occurring.

Board to help MOV37 find, develop and nurture the new wave of young talent revolutionizing investment management. New York, March 8, 2018 – MOV37, the research and investment platform for Autonomous Learning Investment Strategies (ALIS), has assembled an Advisory Board to help find, develop and nurture the young talent that will revolutionize investment management. "The Advisory Board's primary role is to push us outside our intellectual comfort zones," says Adil Abdulali, Chief Science Officer and President at MOV37. The Board will partner with MOV37 in exploring how technology is fundamentally changing investment management and identifying and supporting the young ALIS managers at the forefront of that disruption. Raphael Douady earned his math PhD in Hamiltonian systems in Paris and holds the Robert Frey Endowed Chair for Quantitative Finance at Stony Brook, New York.

IBM today announced the launch of its new Deep Learning as a Service (DLaaS) program for AI developers. With DlaaS, users can train neural networks using popular frameworks such as TensorFlow, PyTorch, and Caffe without buying and maintaining costly hardware. The service lets data scientists train models using only the resources they need, paying only for GPU time. Each cloud processing unit is set up for ease-of-use and prepared for programming deep learning networks without the need for infrastructure management from users. Users can choose from a set of supported deep learning frameworks, a neural network model, training data, and cost constraints and then the service takes care of the rest, providing them an interactive, iterative training experience.

SOUTHBOROUGH, Mass., – (March 08, 2018)–Virtusa Corporation (NASDAQ GS: VRTU), a global business consulting and IT outsourcing company that accelerates business outcomes for its clients,has been included in Gartner'sMarket Guide for Data Science and Machine Learning Service Providers. The report, published on October 31, 2017, states: "Data and analytics leaders looking for support for their data science and machine learning projects should use this research to identify and engage with candidate service providers to fill the analytics deficit and augment their existing data scientists with specific skills." According to Gartner, "the growing demand for DS&ML as a competitive differentiator is forcing organizations to acquire an even wider portfolio of skilled resources – from statisticians and data scientists, to chief analytics officers. However, there is a shortage of data science skills in the market, making it difficult to source the right skills." "We feel that we are one of the most visible DS&ML service partners worldwide and are proud to be recognized in Gartner's Market Guide," said Kumar Ramamurthy, senior vice president and global head, Data & Analytics, Virtusa.

Mythic announced today that it has closed a $40 million round of investment led by SoftBank Ventures to help bring a high-speed, low-power AI chip to market. The company will use this massive infusion of cash to help launch its specialized silicon next year, roughly seven years after the company was first incubated at the Michigan Integrated Circuits Lab. Mythic's technology performs machine learning inference calculations using analog electrical signals and flash memory, which the company says allows for higher performance and a lower-power draw than more conventional techniques, like using GPUs. Mythic is targeting one of the biggest bottlenecks in machine learning computation: moving data to and from memory for processing. Because all of the neural network inference computation takes place on the same silicon that stores its weights, it's supposed to work faster.

UiPath is creating a strong ecosystem of partners to help deliver increasingly efficient enterprise RPA deployment by ensuring that a rich marketplace of leading partner technologies can offer a powerful, pre-integrated, value-added function to the already highly successful UiPath solutions in place. "Conversational Natural Language engagement is a huge growth area for both personal and business use across the globe," said Boris Krumrey, Chief Robotics Officer of UiPath. "Speech and text driven access to initiate and operate robotic process automations is a new channel of user interaction to RPA using conversation. Humley has demonstrated how a virtual assistant can be deployed to support RPA management and build Voice or Chat User Interfaces which will help customers innovate in regards to the'how and where' they access robotic process automations. What we like about Humley is that it works with other leading technologies such as IBM Watson and Microsoft Cognitive Services."

New Addition to BIAnalytix Platform Enables Real-Time Workflows That Maximize Revenue Opportunities for Cross-Media Campaign Trading DENVER -- March 20, 2018 -- Today, Decentrix introduced BIAnalytix SSP, the media industry's first cross-media-capable platform to deliver revenue maximization opportunities with modern real-time trading protocols. Built upon Artificial Intelligence for Media (AIfM), the newest addition to the company's BIAnalytix portfolio enables sophisticated cross-platform media trading at the speed of the buyer. "BIAnalytix SSP supports cross-platform and real-time trading, with realistic market pricing distilled from the data existing within a media company's order management systems and processes," said Taras Bugir, president at Decentrix. "The packaging of cross-media campaign inventory for trading represents a significant milestone in our industry. By addressing complexities that are beyond the reach of human analysis, Artificial Intelligence for Media enables media organizations -- for the first time -- to process decisions based upon current and future inventory positions across their entire delivery ecosystem."

British data analytics firm Cambridge Analytica is at the centre of controversy in the US and UK after two newspapers reported the company harvested personal data about Facebook users beginning in 2014. Best known for assisting the 2016 presidential campaign of US President Donald Trump, Cambridge Analytica is now facing a government search of its London office, questions from US state authorities, and a demand by Facebook that it submit to a forensic audit. The UK's Information Commissioner has announced she is seeking a warrant to probe the company's servers – and also that she was forced to tell Facebook to "stand down" its own enquiries after its auditors and lawyers visited Cambridge Analytica's offices. "Such a search would potentially compromise a regulatory investigation," Elizabeth Denham said. Here is some of what is known about Cambridge Analytica.

Tempe police speak at a press conference to address the accident where a self-driving Uber killed a pedestrian. In this file photo taken in 2016, pilot models of the Uber self-driving car are displayed at the Uber Advanced Technologies Center in Pittsburgh, Pennsylvania. PHOENIX -- The operator behind the wheel of a self-driving Uber vehicle that hit and killed a 49-year-old woman Sunday night had served almost four years in an Arizona prison in the early 2000s on an attempted armed robbery conviction. A representative for Uber declined to comment on the conviction and the company's hiring policies, citing an active investigation. Elaine Herzberg was walking a bike across a street outside a crosswalk in Tempe, Ariz., at about 10 p.m. when she was hit, police said.