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) …
ReSpeaker has released its 4-Microphone Raspberry Pi HAT (Hardware Attached on Top), a quad-microphone expansion board for Raspberry Pi which has been designed for AI assistant and voice applications. The board can be used in robotics or in smart homes, IoT scenarios, and conference rooms, and is customisable as you add new modules. The Grove system uses a modular, building block approach to building electronics systems with buttons sensors such as motion detectors or heart rate sensors. It is compatible with and will support Raspberry Pi Zero and Zero W, Raspberry Pi B, Raspberry Pi 2 B and Raspberry Pi 3 B.
Spurred in part by the car industry's race to build driverless vehicles, marine innovators are building automated ferry boats for Amsterdam canals, cargo ships that can steer themselves through Norwegian fjords and remote-controlled ships to carry containers across the Atlantic and Pacific. "We're in full autonomy now," said Jeff Gawrys, a marine technician for Boston start-up Sea Machines Robotics, sitting at the helm as the boat floated through a harbor channel. The start-up has signed a deal with an undisclosed company to install the "world's first autonomy system on a commercial containership," Johnson said this week. In Norway, fertilizer company Yara International is working with engineering firm Kongsberg Maritime on a project to replace big-rig trucks with an electric-powered ship connecting three nearby ports.
He sold business computers to first-time owners in the 1980s, consulted and keynoted about online marketing in the 1990s, founded a conference and a professional association around digital analytics in the 2000s, and recently published his twelfth book (yes, twelfth! The audience created the Digital Analytics Association and made Jim Board Chair. He sold business computers to first-time owners in the 1980s, consulted and keynoted about online marketing in the 1990s, founded a conference and a professional association around digital analytics in the 2000s, and recently published his twelfth book (yes, twelfth! The audience created the Digital Analytics Association and made Jim Board Chair.
Back in 1959, computer science and gaming pioneer Arthur Samuel defined machine learning as giving "computers the ability to learn without being explicitly programmed." Since the dawn of computing, storage has been blind to applications, and applications blind to the storage systems serving their data. As a result, to ensure service-level agreements, IT will over-provision an application's storage needs, resulting in cold files sitting on expensive storage or capacity that is allocated but unused. Metadata engine software can virtualize data, and examine how the data aligns with the storage resources available in your ecosystem.
And among the things we urgently need to learn more about is not just how artificial intelligence works, but how humans work. Humans are also the only species to have developed "group normativity" – an elaborate system of rules and norms that designate what is collectively acceptable and not acceptable for other people to do, kept in check by group efforts to punish those who break the rules. But our complex normative social orders are less about ethical choices than they are about the coordination of billions of people making millions of choices on a daily basis about how to behave. Are we prepared for AIs that start building their own normative systems--their own rules about what is acceptable and unacceptable for a machine to do--in order to coordinate their own interactions?
Meeting the challenge of digital transformation is not only necessary to remain competitive in terms of offering alternative channels, the use of digital technology can also assist with the amount of work involved with the legal process. To assist legal teams with this data review process artificial intelligence platforms are being adopted. In addition, intelligent machines can be used to assess decisions made by judges -- to work out how case law is set and what the decision of a particular judge is likely to be. According to a review by Forbes, the use of machines to assess legal cases can reduce the hundreds of hours required to trawl through case notes considerably.
This was in contrast to previous stints at Start-Ups funded by NASA / NIST where a broader set of Machine Learning (ML) methods including SVMs, NNs, Random or Gradient Boosting Trees were regularly applied. It's a no-brainer that Deep Learning has been the most visible new age Machine Learning algorithm developed in the last 5 years, with marked success in generating insights from Large Unstructured Datasets of Images, Audio and Text. Modern end-to-end Big Data Platforms available today provide the computational power to train new age ML algorithms and streamline their deployment. Bio: Jayesh Ametha is Retail Banking Professional with 15 years in Business Strategy, Credit Risk and Advanced Analytics.
By answering one question, you'll be able to find people who share the same view as you and they'll be able to show themselves for the thoughtful people they hopefully (hopefully) are. Users will be asked, "Should the government defund Planned Parenthood?" This temporary (for the moment, anyway) feature also places other badge holders at the top of your potential matches list. SEE ALSO: Liberal ladies: You're killing it on OKCupid In theory, this saves you the hassle of having to read through bios to get a feel for a potential match's politics.
Cunjiang Yu, an assistant professor at the university and three other researchers created "a semiconductor in a rubber composite format" that can stretch and still retain functionality, allowing a robotic hand to feel temperature differences and distinguish between hot and cold. Other than demonstrating the temperature sensitivity of the material using a robotic hand and hot and cold water, the researchers also showed the artificial skin could interpret computer signals and reproduce them in sign language. Researchers from the University of Houston have reported a breakthrough in stretchable electronics that can serve as an artificial skin, allowing a robotic hand to sense the difference between hot and cold. In the open-access paper titled "Rubbery electronics and sensors from intrinsically stretchable elastomeric composites of semiconductors and conductors," the researchers wrote: "Rubbery sensors, which include strain, pressure, and temperature sensors, show reliable sensing capabilities and are exploited as smart skins that enable gesture translation for sign language alphabet and haptic sensing for robotics to illustrate one of the applications of the sensors."
A tech startup called Bodega that hopes to replace mom-and-pop shops with unmanned boxes that rely on an app and artificial intelligence is facing a massive backlash from immigrant business owners and skeptics across Silicon Valley. "The vision here is much bigger than the box itself," co-founder Paul McDonald, a former Google product manager, told Fast Company. McDonald told Fast Company he was unveiling 50 new locations on the west coast and plans to spread across the country, with more than a thousand "Bodegas" in place by the end of 2018. Even if Bodega rapidly grows, many shoppers won't want to abandon their local stores, said Trisha Chakrabarti, senior program and policy manager at Mandela MarketPlace, a nonprofit that supports local grocery stores and is based in Oakland, California, where Bodega is headquartered.