Aigo.ai has announced the launch of their decentralized community for the world's first truly personal personal assistant. The development of the community is the final piece in the creation of a revolutionary AI assistant that is hyper-personalized to individual needs, desires, and goals - and most importantly, provides you, and only you, with the ability to keep and own all the information and data you share with it. Peter Voss, Chief Scientist at Aigo.ai and a pioneer in the artificial intelligence space, has developed Aigo using groundbreaking "cognitive architecture" to implement the "Third Wave of AI" - learning unsupervised, instantaneously and interactively. With significantly greater cognitive ability than today's Siri, Alexa, and other chatbot technologies, Peter and his team envision Aigo as the foundation for implementing what they call a true "ExoCortex," which they define as an everyday, interactive, cognitive extension of ourselves. The Aigo community will be vital to his team's vision of creating this new category of personal assistants – becoming a hive of intelligence, free of advertising, corporate ownership, and agendas.

SiteFocus Inc. announced the availability of Autonomous Learning Machines (ALM) – an Artificial Intelligence (AI)-in-a-Box solution that enables machines to learn and understand by reading textual data across any domain without human assistance or supervision, boosting enterprise productivity. ALM is a turnkey self-learning system that does not require tagging, pre-processing, dictionary, ontology, and knowledge of data science or computer science. ALM offers a web-based interface for multi-users. Business teams can get insights from any textual data with the ALM's natural language analytics and reporting whether they are in Sales and Marketing, Investor Relations, Governance, Risk and Compliance, Public Relations & Communications or Human Resource. Unlike prevailing machine learning and AI solutions that require huge infrastructure, large footprint, dedicated and specialized hardware, ALM uses a small footprint and low cost to deliver better results.

JACKSONVILLE, Fla., June 04, 2018 (GLOBE NEWSWIRE) -- Today, Black Knight, Inc. (NYSE:BKI) announced that it has acquired HeavyWater, a provider of artificial intelligence and machine learning (AI/ML) to the financial services industry. Black Knight will be integrating AIVA (pronounced Ay-vah) into its premier solutions, while also making the technology available to clients who seek to deploy AI/ML within other parts of their organizations to help enhance efficiency, effectiveness and accuracy. By taking on manual tasks that have diverted resources away from value creation projects, AIVA reads, comprehends and draws conclusions based on context to mimic cognitive thinking and build expertise over time. Located in Philadelphia, HeavyWater has been providing this solution to help lenders verify income, assets and insurance coverage, which are traditionally manual activities that take hours to complete and are prone to error. Clients benefit from accelerated processes and reduced expenses as AIVA gains experience and manual routines are automated.

Information contained on this page is provided by an independent third-party content provider. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com After months of interface development and testing at the University of California Irvine (UCI), Docbot, a medical informatics company, officially announced today its suite of artificial intelligence-driven applications for colonoscopy procedures. Collectively called Qualoscopy, the applications are designed to assist gastroenterologists in real-time. According to the Center for Disease Control, about 15 million colonoscopies were performed in the United States alone in 2012.

Google today released guidelines for the creation of artificial intelligence, which includes a ban on making autonomous weaponry and most applications of AI with the potential to harm people. The guidelines emerge just days after Google announced it would not renew its contract with the U.S. Department of Defense to analyze drone footage. As a self-described AI-first company, proprietor of popular open source frameworks like Kaggle and TensorFlow, and employer of prominent researchers, Google is one of the most influential companies in AI. "We want to be clear that while we are not developing AI for use in weapons, we will continue our work with governments and the military in many other areas. These include cybersecurity, training, military recruitment, veterans' healthcare, and search and rescue," CEO Sundar Pichai said in a blog post. In the post, Pichai spells out the principles that should be considered when creating AI, as well as applications of AI that Google will not pursue.

Stena Line has partnered with Hitachi Europe to implement artificial intelligence technology (AI) to reduce fuel consumption costs, which will become an important tool in the company--s efforts to minimise environmental impact. The partnership will see a team of Hitachi experts from across its business units review the existing digital architecture in close collaboration with Stena Line, and advise the ferry company. Hitachi said by leveraging cutting-edge AI technologies, it will be able to identify the key factors causing high fuel consumption and, critically, advise how to make operations more efficient. Hitachi Global Digital Holdings Corporation chief executive officer Hicham Abdessamad said --Digitalisation plays a key role in helping industries such as shipping optimise their operations for both financial performance and environmental impact. We are engaged with Stena Line on a number of strategic co-creation initiatives and we see this as an important next step in providing digital expertise to help them achieve positive business and societal outcomes.--

Here's the complete schedule for all the big E3 press conferences and what video games to expect from Nintendo, Sony, Microsoft and many more. E3 is almost upon us. But before the show floor opens to the teaming masses, a bunch of the biggest players in the video games industry will hold big, flashy press conferences to wow gamers and woo the press. These shows are intended to boost hype for the biggest upcoming releases and, hopefully, show us all a little bit more about the games we've been looking forward to. Below is the full schedule of pre-E3 press conferences and following that you can read a little bit about each one and what we can expect to see.

Google has unveiled a set of principles for ethical AI development and deployment, and announced that it will not allow its AI software to be used in weapons or for "unreasonable surveillance". In a detailed blog post, CEO Sundar Pichai said that Google would not develop technologies that cause, or are likely to cause, harm. "Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints," he explained. Google will not allow its technologies to be used in weapons or in "other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people", he said. Also on the no-go list are "technologies that gather or use information for surveillance, violating internationally accepted norms", and those "whose purpose contravenes widely accepted principles of international law and human rights". The move follows widespread internal and external criticism of Google's involvement in Project Maven, the Pentagon's aerial battlefield intelligence programme, which some saw as a step towards the weaponisation of AI.

"I would argue that AI is overkill for the majority of use cases," Drew Perez, chief executive officer at Adatos, said during a panel discussion and added that the benefits of AI are not instantaneous in many cases. His start-up uses AI to study satellite and drone images of agricultural lands to assess things such as tree counts, soil conditions and plant health. "At the end of the day, if you think about it, it has to have a return on investment." Perez told an audience that, most AI programs today are in the "lab phase or innovation phase." He explained that even if there are the right conditions -- including having the right amount of computing power, sufficient data, the right mix of talent and a culture that readily embraces AI -- profitability is not guaranteed.

Just last week, the CEO of this company announced that this system will be installed, for the first time ever, in an American high school and an American university. The names of the institutions have not been made public for obvious reasons, but in these pilot programs for this disruptive new technology, the exposure to real-world environments will serve to further hone and refine the algorithms. Why not just start installing them everywhere, you might ask? The reason is simple: Given the sensitive nature of this technology and the panic a false alarm may bring (just imagine a SWAT team rushing to the scene), it is of utmost importance that the algorithms are as refined as possible before a mass rollout can be effected. And there's nothing besides natural environment exposure that can do that. Think of machine learning as no different than human learning. You need constant stimulus from a variety of seemingly chaotic environmental factors for true artificial intelligence to be achieved.