The global market of artificial intelligence is anticipated to grow at a CAGR of over 60% during 2017-2022. On the basis of application, global artificial intelligence market has been broadly segmented into image recognition, natural language processing, speech recognition, gesture control & others. Among these categories, image recognition dominated global artificial intelligence market in 2016, and the segment is expected to maintain its dominance over the next five years as well. These machines are also capable of taking decisions by self-learning from the nearby environment. Global artificial intelligence market is expected to grow at a robust pace over the next five years, owing to its widespread implementation in numerous industries, such as automobile, finance, healthcare, consumer electronics, etc.

And, if the recently launched M suggestions is any indication, the coders at the social media giant look back on the panic-inducing anthropomorphized paperclip with a bizarre degree of fondness. SEE ALSO: Facebook's new emoji are finally available to everyone "M is your helpful assistant in Messenger, powered by artificial intelligence," reads an April 6 Facebook press release. "M offers suggestions by popping into an open conversation to suggest relevant content and capabilities to enrich the way people communicate and get things done." Basically, Facebook is stoked to yank intrusive helper-popups from the dustbin of history and plop them right onto your smartphone. The company has been testing M for some time, but today marks the release of the suggestions feature to all U.S. users of Messenger -- Facebook's chat app.

ALISO VIEJO, CA--(Marketwired - Apr 6, 2017) - Transcepta, an artificial intelligence-driven platform providing brands with faster, smarter and more accurate procure-to-pay connectivity and collaboration, offers a range of solutions powered by artificial intelligence (AI) that deliver efficiency and profit gains for clients. The company's supplier network and associated applications are part of the broader trend of AI shaping not only high-tech applications, but also changing how companies make decisions. Transcepta offers a suite of services for clients and their suppliers that use machine learning and predictive analytics to improve accuracy, transaction delivery speed and decision making. Transcepta leverages predictive analytics and machine learning to create systems that are self-improving through the continual addition of data inputs over time. Its services are helping to streamline processes and boost the bottom line for some of today's leading companies.

ONTARIO, CA and NEWPORT BEACH, CA April 4, 2017 The Safariland Group ("Safariland"), the parent company of VIEVU and a leading global provider of safety and survivability products designed for the public safety, military, professional and outdoor markets, and Veritone, a leading provider of artificial intelligence solutions, today announced their intent to enter into an agreement to integrate their product offerings to apply artificial intelligence to uniquely extract and process crucial data from police body-worn camera footage. The Veritone Platform will be available to Safariland's law enforcement agency customers as a complement to VIEVU's body-worn cameras, accessories and software, later this year. The integration will allow VIEVU's customers to upload large volumes of video and audio recordings into the Veritone Platform and process them in near real-time, enabling law enforcement personnel to rapidly extract actionable information for use in investigations, monitoring and training, as well as to respond more quickly and efficiently to public record requests. "The Veritone Platform will enable law enforcement agencies to save thousands of hours of manual searching by using intelligent audio and video analysis, allowing them to focus time and resources on more mission-critical tasks," said Chad Steelberg, chief executive officer of Veritone. "The Veritone Platform uses more than 40 best-of-breed cognitive engines, ranging from transcription and face recognition to sentiment analysis to object recognition, which will provide VIEVU's users the ability to derive comprehensive, actionable insights from their body camera footage in near real-time. Importantly, we have long admired VIEVU's products and its dedication to innovation, and we look forward to working together to advance public safety with artificial intelligence technology."

The global machine learning as a service (MLaaS) market is poised to grow from $1.07 billion in 2016 to $19.86 billion in 2025, at a CAGR of more than 38%, according to a new report from Transparency Market Research. Demand for MLaaS has been highest in the healthcare and life sciences industry, due primarily to the need to integrate structured and unstructured data in these areas, especially data generated by electronic health records. Other industries that will benefit from this technology moving forward include manufacturing, retail, telecom, finance, energy and utilities, education, and the government, as MLaaS can improve the decision-making capabilities of devices used in those areas, the report stated. Enterprises' move to the cloud is another important factor behind the expected growth of the MLaaS market, the report noted--as more companies shift toward cloud computing, it is easier for them to take advantage of machine learning. SEE: 5 steps to turn your company's data into profit MLaaS solutions are typically deployed in both the public and private cloud, though private cloud accounts for most of the revenue generated in the global MLaaS market, the report noted. "Enterprises are preferring private cloud-based MLaaS solutions over their public cloud-based counterparts due to data security reasons," according to the press release.

Dedicated Computing is co-hosting a Deep Learning Institute workshop in collaboration with NVIDIA and Milwaukee School of Engineering (MSOE). The workshop will take place at MSOE on April 13, 2017. Deep learning is a new area of machine learning that seeks to use algorithms, big data, and parallel computing to enable real-world applications and deliver results. Machines are now able to learn at the speed, accuracy, and scale required for true artificial intelligence. This technology is used to improve self-driving cars, aid mega-city planners, and help discover new drugs to cure disease.

The present wave of automation, driven by artificial intelligence (AI) – the development of computer systems able to perform tasks normally requiring human intelligence – is creating a gap between current legislation and new laws necessary for an emerging workplace reality, states a report published today by the International Bar Association Global Employment Institute (IBA GEI). Gerlind Wisskirchen, IBA GEI Vice Chair for Multinationals and coordinator of the report, commented: 'Certainly, technological revolution is not new, but in past times it has been gradual. What is new about the present revolution is the alacrity with which change is occurring, and the broadness of impact being brought about by AI and robotics. Jobs at all levels in society presently undertaken by humans are at risk of being reassigned to robots or AI, and the legislation once in place to protect the rights of human workers may be no longer fit for purpose, in some cases.' She added:'The AI phenomenon is on an exponential curve, while legislation is doing its best on an incremental basis.

WIRE)--GumGum, an artificial intelligence company with particular expertise in computer vision, today launched The Visionary, an online program made up of original and curated content, a newsletter, awards and more, that focuses on the current trends and future opportunities of artificial intelligence and computer vision. The goal of The Visionary is to provide its readers with easily digestible insights into the fast-changing world of artificial intelligence and computer vision. Prior to The Visionary, there was no centralized, non-technical source on computer vision that sought to bring information on this fascinating field to mass audiences at all knowledge levels. As artificial intelligence remains at the forefront of technology, GumGum recognized the opportunity to make this content relatable and easy to understand. Through original, visual graphics, high-quality curated content and other initiatives, GumGum takes a deep dive into computer vision as the technology further evolves as a leading application of artificial intelligence.

SYS-CON Events announced today that HTBase will exhibit at SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. HTBase (Gartner 2016 Cool Vendor) delivers a Composable IT infrastructure solution architected for agility and increased efficiency. It turns compute, storage, and fabric into fluid pools of resources that are easily composed and re-composed to meet each application's needs. With HTBase, companies can quickly provision resources and deploy unique, mission-critical, self-designed solutions to add-onto or create any type of infrastructure as per the business requirement. HTBase is the first company to enable a true multi-cloud strategy, enabling organizations to automate movement of data and workloads between private and public clouds.

Up to around 30% of existing UK jobs could face automation over the next 15 years, but new AI-related technologies will also boost productivity and generate additional jobs elsewhere in the economy, according to new analysis by PwC in its latest UK Economic Outlook report. This involves looking in detail at the task composition of jobs in different industry sectors and occupations, using machine learning techniques to model the potential impact of AI in the future based on OECD data. The study estimates that the UK (30%) has a lower proportion of existing jobs at potential high risk of automation than the US (38%) and Germany (35%), but more than Japan (21%). PwC's analysis finds the likely impact of automation varies significantly across industry sectors: transportation and storage (56%), manufacturing (46%) and wholesale and retail trade (44%) have the highest proportion of jobs facing potential high risks of automation among the larger sectors. Education and health and social work are estimated to face the lowest risks of automation given the relatively high proportion of tasks that are hard to automate (see table below).