To say that AI is the number one buzz word in legal at the moment is to say the least. But there is still a big uncertainty about what it actually is and what it can do. A general misconception seems to be that Artificial Intelligence is a single "thing". It can be clause identification, anomaly detection, general due diligence review tools, cognitive systems, machine learning etc. One of the AI-seminars at LegalTech focused on the use of machine-learning technology in due diligence reviews, where the tools help lawyers review large sets of material, looking for risks and pitfalls.

One of the biggest confusions about "Artificial Intelligence" is that it is a very vague term. That's because Artificial Intelligence or AI is a term that was coined way back in 1955 with extreme hubris: We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. AI is over half a century old and carries with it too much baggage.

If the basics of retail are elementary, then it should be no surprise that a technology named Watson is leading what may be one of the biggest trends in 2017. Watson is the name of an artificial intelligence technology (AI) by IBM; many may remember Watson for its $1 million winning streak on "Jeopardy." Today, several major retailers -- from Macy's to 1-800-Flowers.Com -- are using or testing the supercomputer's cognitive computing capabilities to more acutely predict (and serve) customer wishes. Most recently, Staples announced plans to implement Watson technology to bring to life its Easy Button. Infused with the technology, the button can now take Staples orders by voice, text, email, messaging app or mobile app.

Artificial Intelligence or AI was seen to change the field of education in the near future. Bots may be used to do tasks that usually require large workforce. Artificial intelligence can check millions of standardized tests and make learning materials in just a short time. IT can assist human instructors in online courses. Education experts supporting AI sees the following changes in the field of education, according to Venture Beat.

After a soft start to 2016, the Nasdaq Composite rallied strongly from mid-February through the year's end, finishing with a slightly above-average 9.8% gain. However, 2016 was anything but average for two large-cap tech companies whose shares dramatically outperformed the market averages on the year. Moving large-cap stocks like these requires an impressive catalyst. So let's examine what triggered the rallies in NVIDIA and Computer Sciences shares in 2016 and consider how investors should think about their shares in 2017 and beyond. Investors continued to awaken to NVIDIA's enviable long-term growth potential in 2016, continuing the extended rally in its shares.

About Matthew: Matthew Mayo is a Data Scientist and the Deputy Editor of KDnuggets, as well as a machine learning aficionado and an all-around data enthusiast. Matthew holds a Master's degree in Computer Science and a graduate diploma in Data Mining. This post originally appeared on the KDNuggets blog. Previous KDNuggets instalments of "5 Machine Learning Projects You Can No Longer Overlook" brought to light a number of lesser-known machine learning projects, and included both general purpose and specialized machine learning libraries and deep learning libraries, along with auxiliary support, data cleaning, and automation tools. After a hiatus, we thought the idea deserved another follow-up. This post will showcase 5 machine learning projects that you may not yet have heard of, including those from across a number of different ecosystems and programming languages.

About GilPress I launched the Big Data conversation; writing, research, marketing services; https://whatsthebigdata.com/ & http://infostory.com/ This entry was posted in AI, Machine Learning, neural networks, Uncategorized.

Each morning when she wakes up, Kristy Milland powers up her home computer in Toronto, logs into Amazon Mechanical Turk, and waits for her computer to ding. Amazon Mechanical Turk (AMT), which has been around for over a decade, is an online platform where people can perform small tasks for pay. Milland is looking for job postings, or "HITs"--and the alerts tell her when a listing matches her criteria. "The alerts go off once a minute," Milland said. "I break from what I'm doing to see if it's a good HIT before I accept the job." Sometimes, a group of HITs is posted. "If a batch comes up and it's lunchtime, or I have a doctor's appointment, or my dog needs to go out," said Milland, "I drop everything and do it. If this is how you feed your children, you don't leave." Milland is one of more than 500,000 "Turkers"--contract workers who perform small tasks on Amazon's digital platform, which they refer to as "mTurk." The number of active workers, who live across the globe, is estimated to run between 15,000 and 20,000 per month, according to Panos Ipeirotis, a computer scientist and professor at New York University's business school. According to Ipeirotis, in October 2016, American Turkers are mostly women.

People have always signified progress with their relentless endeavours to make life simpler and thanks to the co-operation of technology; the twentieth and twenty-first centuries have seen a number of advancements that revolutionised the functioning of our daily lives. Industries have, time and again, harnessed the advancements – the current one to lead the pack is'artificial intelligence'. Artificial intelligence is the most trending term in the business domain, with its major benefits catering to the decision-making process, according to Gartner analysts. The analysts' further predict that within the next five years, 50% of the analytical decisions will be made through AI: opting it over simple verbal interactions. Artificial intelligence is the process of transforming human predictions into a mechanical route with the help of parameters and algorithms, through performing tasks of decision-making, problem-solving and learning by encapsulating intelligent behaviour of computational process.

Children's fantasies of talking toys have come true. Hello Barbie from Mattel is the world's first intelligent, conversational doll. Vlaho's laboriously researched editorial piece covers the history and making of the doll, the breakthroughs in A.I. that power the conversation, as well as the social implications and influence Hello Barbie can have on young girls. He brings in academic research on human-robotic interactions and questions whether talking toys expand or limit the imagination of the young.