If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
When Half-Life released in 1997, it was unlike any other first person shooter -- a genre of video games predicated on the central mechanic of blasting things with a firearm. Popular pioneers of the genre, like Doom and Quake, were known for being over-the-top and full of bombast. Half-Life is not like those games. It begins not with a bang, but with a slow, methodical tram ride. "Welcome to the Black Mesa research facility," says a sterile voice over the tram speakers; it is the first day on the job for MIT graduate scientist Gordon Freeman.
Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. Just five years ago, none of the leaders other than Theano were even around. I wanted to find evidence for which frameworks merit attention, so I developed this power ranking. I used 11 data sources across 7 distinct categories to gauge framework usage, interest, and popularity.
ICT industry veteran Andile Ngcaba's inq., a Pan-African digital service provider, wants to be Africa's number one artificial intelligence (AI) service provider. The company has points of contacts in 12 African cities, Johannesburg, Gaborone, Lusaka, Ndola, Blantyre, Lilongwe, Mzuzu, Lagos, Abuja, Port Harcourt, Kanu and Abidjan. It has concluded the 100% acquisition of Vodacom Business Africa's operations in Nigeria, Zambia and Cote d'Ivoire with a further planned acquisition in Cameroon pending regulatory approvals. At the time of the announcement of the transaction last June, inq. said this deals represents a significant milestone to its vision to be a leading provider of cloud and digitally based services in key markets across sub-Saharan Africa and provides additional vital assets in its build-out of a regional footprint. Today, inq. said this landmark transaction grows inq.'s regional footprint to 13 cities in 7 countries across Africa including its existing operations in Botswana, Malawi and Mozambique.
"Entities should not be multiplied unnecessarily" To incentivize the scientific community to focus on AGI, Marcus Hutter, one of the most prominent researchers of our generation, has renewed his decade-old prize by ten folds to half a million euros (500,000 €). The Hutter prize, named after Marcus Hutter, is given to those who can successfully create new benchmarks for lossless data compression. The data here is a dataset based on Wikipedia. Marcus Hutter, who now works at DeepMind as a senior research scientist, is famous for his work on reinforcement learning along with Juergen Schmidhuber. Dr Hutter proposed AIXI in 2000, which is a reinforcement learning agent that works in line with Occam's razor and sequential decision theory.
Humans have often sought the fantasy of having someone who "understands" them. Be it a fellow companion, a pet or even a machine. No doubt man is a social animal. Yet, this may not be the exact case in case of a man engineered machine or system. Although, machines are now equipped with AI that helps them beat us by sifting through scores of data and analyze them, provide a logical solution when it comes to emotional IQ this is where man and the machine draw the line.
Artificial Intelligence (AI) in Cyber Security Market 2020 Industry Research Report Artificial intelligence (AI) is a result of software that tries to create a decision mechanism similar to human brain's decision mechanism. Artificial intelligence is playing a crucial role in cyber security by identifying threats and protecting organizations' data from lethal cyber-attacks. It speeds up the process of noticing attacks and enables organizations to adopt predictive measures in combating cyber-crimes. Market Overview: The Global Artificial Intelligence (AI) in Cyber Security market 2020 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Artificial Intelligence (AI) in Cyber Security market analysis is provided for the international markets including Development trends, competitive landscape analysis, and key regions development status.
This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. In 1956, a group of scientists led by John McCarthy, a young assistant-professor of mathematics, gathered at the Dartmouth College, NH, for an ambitious six-week project: Creating computers that could "use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves." The project kickstarted the field that has become known as artificial intelligence (AI). At the time, the scientists thought that a "2-month, 10-man study of artificial intelligence" would solve the biggest part of the AI equation. "We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer," the first AI proposal read.
March Networks, a global video security and video-based business intelligence leader, is pleased to introduce its ME6 Series IP Cameras, a new 6MP camera line powered by Artificial Intelligence (AI). Incorporating advanced system-on-chip (SoC) technology from California-based company Ambarella, the ME6 Series use Deep Neural Network processing power to accurately distinguish between people and vehicles. This built-in intelligence is combined with next-generation security analytics for the most accurate, real-time analysis and detection of events. Organizations can enhance security and rapidly respond to incidents with the cameras' highly accurate notifications on perimeter and zone breaches, loitering, and atypical activity involving vehicles. The ME6 Series' analytics are embedded on the cameras for convenient out-of-the-box use – no training required.
In a paper scheduled to be presented at the upcoming International Conference on Learning Representations, Amazon researchers propose an AI approach that greatly improves performance on certain meta-learning tasks (i.e., tasks that involve both accomplishing related goals and learning how to learn to perform them). They say it can be adapted to new tasks with only a handful of labeled training examples, meaning a large corporation could use it to, for example, extract charts and captions from scanned paperwork. In conventional machine learning, a model trains on a set of labeled data (a support set) and learns to correlate features with the labels. It's then fed a separate set of test data (a query set) and evaluated based on how well it predicts that set's labels. By contrast, during meta learning, an AI model learns to perform tasks with their own sets of training data and test data and the model sees both.