The Royal Navy is planning to step up its use of AI to improve maritime defence, beginning with STARTLE, which is AI software that can can spot potential threats. At a briefing titled "Artificial Intelligence in Royal Navy Warships" hosted by non-profit TechUK, Blighty's navy announced it was keen to explore the potential of using machine-learning to improve operational capability in its fighting units under Project NELSON. Developed by Roke Manor Research, the company claims it is the first supplier to integrate AI software into a Defence Science and Technology Laboratory-sponsored maritime combat system demonstrator. Mike Hook, lead software architect on STARTLE at Roke, told The Register: "It's hard to implement new technology in warships because it has so much proprietary software. But integrating STARTLE will give it new data to do trials with."

If you like this project, please give me a star. This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer. My main goal was to find an approach to studying Machine Learning that is mainly hands-on and abstracts most of the math for the beginner. This approach is unconventional because it's the top-down and results-first approach designed for software engineers. Please, feel free to make any contributions you feel will make it better.

Advanced machine learning, artificial intelligence and data science will be among the top new technologies shaping business trends through 2017 and beyond, according to analyst firm Gartner Inc. The research firm presented its Top Ten Strategic Technology Trends for 2017 at the Gartner Symposium/Itxpo in Orlando, Fl., this week. It said it expects to see "intelligence everywhere" permeate through the enterprise IT landscape in the next three to five years, in the shape of new software-based systems that are programmed to learn and adapt. David Cearley, Gartner vice president and fellow, said these intelligent trends will intertwine to create a "digital mesh" that blurs the boundary between digital and physical workspaces. Gartner predicts AI will become "the next battleground through 2020", and we've already seen the battle lines being drawn with companies like Google, Microsoft and IBM all advancing their own machine learning algorithms via the open-source community, while Salesforce.com Inc. recently introduced its own Einstein platform to underpin its services.

Today, a digital stethoscope has the ability to record and store heartbeat and respiratory sounds. Tomorrow, the stethoscope could function as an "intelligent thing" by collecting a massive amount of such data, relating the data to diagnostic and treatment information, and building an artificial intelligence (AI)-powered doctor assistance app to provide the physician with diagnostic support in real-time. AI and machine learning increasingly will be embedded into everyday things such as appliances, speakers and hospital equipment. This phenomenon is closely aligned with the emergence of conversational systems, the expansion of the IoT into a digital mesh and the trend toward digital twins.

In my first blogpost, I introduced the basic concept of machine learning and how it contributes to the world of IT security. Now I want to dig deeper and showcase those machine learning algorithms used by Blindspotter, BalaBit's user behavior analytics tool. Blindspotter does not rely on a single "silver bullet of algorithms", but combines eight algorithms to achieve better predictive performance. A well-disguised and well-prepared insider or external attacker may deceive one, two or in rare cases even three algorithms, but it is more than improbable that he or she would able to deceive all of them. Let's see an example, in which Mallory, the malicious senior sysadmin tries to steal valuable intellectual property of her employer and sell it to a competitor. Blindspotter's main concept is the prioritization of security incidents and events.

In the aftermath of the Brexit vote to leave, one of the Tweets that caught my eye was from founder and CEO of analyst firm HfS Research Phil Fersht (@pfersht), which simply said, "at least the British can stop worrying about robots taking their jobs. Just get rid of the jobs altogether…" While that may not be amusing as it plays out against our globalized economy, it demonstrates how this topic has taken hold of so many of us. About a year ago, I was asked to sit on a panel at the annual Constellation Research Connected Enterprise called "The Robots Are Here! The Future of HR Tech," to debate whether we're entering a dystopian existence where humans are the bottleneck to productivity and innovation or a world of augmented humanity and digital humanization. It's a fact that major economic shifts have led to both marginalization, the downside, and great opportunity, clearly the upside.

Finnish software and services company Tieto has become the first company registered on a Nordic stock exchange to promote an AI to a senior management position. Tieto made it's AI, called Alicia T., a member of the management team for its new data-driven business unit. The new business unit aims to develop new business models and services for customers based on the ever-increasing availability of data - and for that purpose aritificial intelligence may prove very useful. The idea isn't only to show off the machine as a symbolic figurehead for the business division, but also that Alicia will help the leadership group to see data-based solutions that might otherwise elude the team. In recognition of the advisory function, Alicia is considered a full-member and even has voting rights.

PRNewswire has reported on RAVN Systems, leading experts in Artificial Intelligence (AI), Search and Knowledge Management solutions, and Fireman & Company, the leading management consulting firm for law firms and corporate legal departments, announcing a strategic partnership to deliver revolutionary Artificial Intelligence (AI) and enterprise search technology to the North American legal market. This strategic partnership will provide law firms and corporate legal departments with the most advanced AI search platform on the market. Peter Wallqvist, CEO at RAVN Systems commented, "We are excited to collaborate with Joshua Fireman and his team and align our collective focus of transforming legal services through innovation. RAVN's search technology will provide firms and corporate clients with a radically enhanced Universal Search and Knowledge Management tool that exploits Artificial Intelligence to efficiently capture, find, manage and collaborate on their organisations' information estate. The technology's advanced features include Expertise Location, Clause Extraction and a Knowledge Graph to navigate links between knowledge types across the enterprise."

New York, Oct 19 (IANS) In a major breakthrough in the field of speech recognition, Microsoft researchers have created a technology that accurately recognises the words in a conversation like humans do. The team from Microsoft Artificial Intelligence and Research reported a speech recognition system that makes the same or fewer errors than professional transcriptionists. The researchers reported a word error rate (WER) of 5.9 percent, down from the 6.3 percent WER the team reported just last month. The 5.9 percent error rate is about equal to that of people who were asked to transcribe the same conversation, and it's the lowest ever recorded against the industry standard "Switchboard" speech recognition task. This is an historic achievement," said Xuedong Huang, the company's chief speech scientist in a Microsoft blog post. The milestone means that, for the first time, a computer can recognise the words in a conversation as well as a person would. In doing so, the team has beat a goal they set less than a year ago - and greatly exceeded everyone else's expectations as well. "Even five years ago, I wouldn't have thought we could have achieved this.

Artificial intelligence, or AI as it's commonly known, is one of the most talked about, and exciting, areas of technological research happening today. Thanks to its use of computing algorithms and machine learning to solve complex problems, it's changing the way we live and work – be it through the form of humorous chat bots or wonderfully helpful smart assistants. Because the potential applications of AI are so varied, there's a plethora of startups working with the technology in strange and innovative ways. Snips just happens to be one of them, and its aim is to make your life simpler through the addition of a personal and private AI. Founded in 2013, Snips is an app that uses AI to organise the information stored within your phone. It remembers everything you tell it and makes the important things in your life easier to find.