Distributed artificial intelligence Distributed Artificial Intelligence (DAI) is a subfield of artificial intelligence research dedicated to the development of distributed solutions for complex problems regarded as requiring intelligence.DAI is closely related to and a predecessor of the field of Multi-Agent Systems.

Christina is audience development editor. After graduating from the University of Nottingham reading philosophy and theology in 2013, Christina joined a tech start-up specialising in mobile apps. She has a keen interest in the mobile platform and innovative tech. In recent years AI has brought us some pretty impressive and widely used tech, from the image recognition being used by Facebook to speech recognition technology at work in Amazon's Alexa or Apple's Siri. It's these breakthroughs in deep learning and neural networks that have led to some of the most exciting yet also worrying times in tech. Stephen Hawking, Elon Musk and Bill Gates (to name a few) have all warned us about the dangers of unregulated AI development.

A technology industry alliance devoted to making sure smart machines don't turn against humanity said today that Apple has signed on and will have a seat on the board. Microsoft, Amazon, Google, Facebook, IBM, and Google-owned British AI firm DeepMind last year established the non-profit organization, called "Partnership on AI," which will have its inaugural board meeting in San Francisco on February 3. "Apple has been involved and collaborating with the partnership since before it was first announced and is thrilled to formalize its membership," the alliance said in an online post. Major technology firms joined forces in the group, with stated aims including cooperation on "best practices" for AI and using the technology "to benefit people and society." Creation of the group came amid concerns that new artificial intelligence efforts could spin out of control and end up being detrimental to society. The companies "will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology," according to a statement.

While AI is having significant impact with the consumer market -- witness the explosion of AI-driven bots and digital assistants -- businesses are realizing the important ways they can take advantage of AI. One of the biggest areas of growth is in AI Marketing (AIM). Start with the fact that computers are great at crunching numbers, quickly providing results from complex math formulas, and handling repetitive tasks without complaint. Add in software that uses well-designed machine-learning algorithms, and you have the potential of a powerful AIM process to deliver detailed analytics and offer valuable insights. AIM software will revolutionize the role of the marketer -- for the better.

Persistence Market Research delivers pertinent insights on the growth of the Cognitive Computing Market and identifies key market dynamics impacting this growth. New York City, NY -- (SBWIRE) -- 01/27/2017 -- In the ever changing world of information technology, business organizations are left with humongous amount of data with them. This data includes very critical information for business use, but business organizations are only able to utilize 20% of whole data available with them with the use of traditional data analytics technology. To process and interpret the reaming 80% of the data that is in the form of videos, images, and human voice (also called as dark data), there is a need of cognitive computing systems. Cognitive computing systems are typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have capability to collect, process, and interpret the dark data available with business organizations.

Most people don't buy a jar of relish every week. But when they decide to buy one from Ocado--the world's largest online-only grocery retailer--they don't have to scrabble at the back of the store. Instead, they call on robots and artificial intelligence to have it delivered to their door. Ocado claims that its 350,000-square-foot warehouse in Dordon, near the U.K.'s second city of Birmingham, is more heavily automated than Amazon's warehouse facilities. The company's task is certainly more challenging in many respects: most of the 48,000 lines of goods that it sells are perishable, and many must be chilled or frozen.

Perhaps the coolest thing about IBM's 9th "Five Innovations that will Help Change our Lives within Five Years" predictions is that none of them sound like science fiction. "With advances in artificial intelligence and nanotechnology, we aim to invent a new generation of scientific instruments that will make the complex invisible systems in our world today visible over the next five years," said Dario Gil, vice president of science & solutions at IBM Research in a statement. Among the five areas IBM sees as being key in the next five years include artificial intelligence, hyperimaging and small sensors. In five years, what we say and write will be used as indicators of our mental health and physical wellbeing. Patterns in our speech and writing analyzed by new cognitive systems will provide tell-tale signs of early-stage mental and neurological diseases that can help doctors and patients better predict, monitor and track these diseases.

Reports are out that a Chinese robot has written and published its first newspaper article. The news comes the same month as a Japanese insurance company announced it was replacing 34 workers with an artificial intelligence system. "This is absolutely a wake-up call," said Zeus Kerravala, an analyst with ZK Research, who added that it's time for people to think about their careers and if a robot or A.I. system could easily replace them. "We are the beginning of robots taking jobs," he added. But the fact is, we've had other revolutions -- like the birth of the assembly line."

Kumar Srivastava is a vice president of product and strategy at BNY Mellon. Enterprises that have experience with machine learning are looking to graduate to Artificial Intelligence based technologies. Enterprises that have yet to build a machine learning expertise are scrambling to understand and devise a machine learning and AI strategy. In the midst of the hype, confusion, paranoia and the risk of left behind, the slew of open source contribution announcements from companies like Google, Facebook, Baidu, Microsoft (through projects such as Tensorflow, BigSur, Torch, SciKit, Caffe, CNTK, DMTK, Deeplearning4j, H2O, Mahout, MLLib, NuPIC, OpenNN etc.) offer an obvious approach to getting started with AI & ML especially for enterprises outside the technology industry. Find the project, download, install…should be easy.

Elon Musk hasn't given up on his vision to add a digital layer of intelligence to our brain. The Tesla and SpaceX CEO teased that he may have an announcement about "neural lace," a concept he first brought up at Vox Media's Code Conference in June, coming next month on Twitter Wednesday morning. Musk first described neural lace as a brain-computer system that would link human brains with a computer interface. It would allow humans to achieve "symbiosis with machines" so they could communicate directly with computers without going through a physical interface. Musk has said a neural lace will help prevent people from becoming "house cats" to artificial intelligence.