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) …
The Prentice Hall Essence of Computing Series provides a concise, practical and uniform introduction to the core components of an undergraduate computer science degree. Acknowledging the recent changes within Higher Education, this approach uses a variety of pedagogical tools - case studies, worked examples and self-test questions, to underpin the student's learning. The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI. Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages.
Amazon is encouraging us to put listening devices in every room of the house with executives from Amazon saying that Echo assistants don't listen to private conversations, they say the device will start listening to conversations only if the word Alexa was used, this is not always the case as a story from a user in Portland highlights. An Alexa user from Portland, Oregon has installed Echo and Smart bulbs in every room of their house thinking that nothing bad will happen, however when asking Amazon to investigate an issue about Alexa recording a private conversation between her and her husband that was sent to a random number in her address book without her consent. She didn't believe her friend at first, however when her he explained the conversation between her husband she finally believed them. "You sat there talking about hardwood floors." Danielle realised the colleague must have heard everything.
Artificial intelligence is set to play a bigger role in data-center operations as enterprises begin to adopt machine-learning technologies that have been tried and tested by larger data-center operators and colocation providers. Today's hybrid computing environments often span on-premise data centers, cloud and collocation sites, and edge computing deployments. And enterprises are finding that a traditional approach to managing data centers isn't optimal. By using artificial intelligence, as played out through machine learning, there's enormous potential to streamline the management of complex computing facilities. AI in the data center, for now, revolves around using machine learning to monitor and automate the management of facility components such as power and power-distribution elements, cooling infrastructure, rack systems and physical security.
In an effort to explain to my Italian grandma what machine learning is, I delved deep into the subject and decided to write up an introduction to Machine Learning. The essay will be translated in Italian of course as English is not her forte. You may have probably heard of "Artificial Intelligence", a term that is now part of mass culture thanks to science fiction movies and books. In recent years though, other terms have surfaced such as "Machine Learning" and "Robotics". So what is Artificial Intelligence?
During her freshman year, Stephanie Tena, a 16-year-old programmer, was searching the internet for coding programs and came across a website for an organization called AI4All, which runs an artificial-intelligence summer camp for high-schoolers. On the site, a group of girls her age were gathered around an autonomous car in front of the iconic arches of Stanford's campus. "AI will change the world," the text read. "Who will change AI?" How technology and globalization are changing what it means to work Read more Tena thought maybe she could. She lives in a trailer park in California's Central Valley; her mom, a Mexican immigrant from Michoacán, picks strawberries in the nearby fields.
Machines might scare policymakers from Brussels to Washington, but artificial intelligence could yield a significant developmental dividend in the developing world. In African markets, the technology behind Alexa and Siri can be harnessed to diagnose illness or address traffic gridlock. Machine learning, whereby algorithms make predictions and improve based on large amounts of data, is often relegated to the realm technologists and the elite; but for the two billion unbanked adults worldwide, this technology could light a path out of poverty by helping traditional lenders approve loans using hundreds of non-traditional data points. AI has the capacity to add value at the individual, small business, and the large corporate level alike across Africa. But today, private data marketplaces such as DataWallet and Meeco allow individuals in the West to sell their personal data directly to buyers.
I visited Beijing last week and learned a great deal from Microsoft's AI //innovate event in China - our 2nd largest developer base for Cognitive Services on Azure. The most heart-felt demo was Harry Shum could communicate with an almost deaf student of Nanjing University of Technology. Using two mobile phones with Microsoft Translator, the deaf student not only had no problem to communicate with Harry but also removed his language barriers between Chinese and English! I started speech recognition research as a graduate student in Beijing's Tsinghua University more than 35 years ago. My graduate student dream was to help people communicate better without language barriers.
Artificial intelligence software capable of interpreting images, matching faces and analysing patterns of communication is being piloted by UK police forces to speed up examination of mobile phones seized in crime investigations. Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence. As police and lawyers struggle to cope with the exponential rise in data volumes generated by phones and laptops in even routine crime cases, the hunt is on for a technological solution to handle increasingly unmanageable workloads. Some forces are understood to have backlogs of up to six months for examining downloaded mobile phone contents.