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) …
It's common knowledge that Barack Obama met the woman who eventually became his wife, Michelle Robinson, when he came to work at her law firm as a summer associate. George W. Bush met the future Mrs. Bush, who was Laura Welch back then, at a barbecue and took her mini-golfing the next day. And we all remember that Bill and Hillary Clinton were law school sweethearts. The historical record is full of these president-and-first-lady origin stories: Harry Truman was just 6 when he met the woman he would go on to marry, in church. So it's only natural to ask how the current crop of presidential candidates' how-they-met stories stack up.
The artificial intelligence industry is often criticized for failing to think through the social repercussions of its technology--think instituting gender and racial bias in everything facial-recognition software to hiring algorithms. On Monday (March 18), Stanford University launched a new institute meant to show its commitment to addressing concerns over the industry's lack of diversity and intersectional thinking. The Institute for Human-Centered Artificial Intelligence (HAI), which plans to raise $1 billion from donors to fund its initiatives, aims to give voice to professionals from fields ranging from the humanities and the arts to education, business, engineering, and medicine, allowing them to weigh in on the future of AI. "Now is our opportunity to shape that future by putting humanists and social scientists alongside people who are developing artificial intelligence," Stanford president Marc Tessier-Lavigne declared in a press release. But in trying to address AI's blind spots, the institute has been accused of replicating its biases. Of the 121 faculty members initially announced as part of the institute, more than 100 appeared to be white, and a majority were male.
Folded and sealed with a dollop of red wax, the will of Catharuçia Savonario Rivoalti lay in Venice's State Archives, unread, for more than six and a half centuries. Scholars don't know why the document, written in 1351, was never opened. But to physicist Fauzia Albertin, the three-page document--six pages, folded--was the perfect thickness for an experiment. Albertin, who now works at the Enrico Fermi Research Center in Italy, wanted to read the will without unsealing it. In a 2017 demonstration, Albertin and her team beamed X-rays at the document to photograph the text inside.
When will tech singularity arrive, if it ever arrives? Ray Kurzweil, famous for his Singularity optimism, insists that day is in 2029, so in one decade! Many other academics think on the other hand that it will never happen. Humans are also growing and changing at incredible pace) is a never ending journey, and so is human consciousness. After all technological evolution results from the joint effort of humans designing machines that transform each other.
So how do you categorize a beast like gaming on the PC? With decades of titles to pluck from (and the first port of call for most indie titles, too), there's so much to choose from. Gaming on your PC adds the benefits of (nearly always flawless) backward compatibility and console-beating graphical performance -- if you've got the coin for it. We've tried to be broad with our recommendations here on purpose. There are so many great games out there for your PC, consider these some starting points.
Training employees how to perform specific tasks isn't difficult, but building their soft skills -- their interactions with management, fellow employees, and customers -- can be more challenging, particularly if there aren't people around to practice with. Virtual reality training company Talespin announced today that it is leveraging AI to tackle that challenge, using a new "virtual human platform" to create realistic simulations for employee training purposes. Unlike traditional employee training, which might consist of passively watching a video or lightly interacting with collections of canned multiple choice questions, Talespin's system has a trainee interact with a virtual human powered by AI, speech recognition, and natural language processing. Because the interactions use VR headsets and controllers, the hardware can track a trainee's gaze, body movement, and facial expressions during the session. Talespin's virtual character is able to converse realistically, guiding trainees through branching narratives using natural mannerisms and believable speech.
Data visualization can be considered the art to data analysis' science. This is where you get to be really creative in finding ways to communicate the secrets hidden within your raw data. The field of data visualization continues to explode, flooding that market with all strata of platforms from the simple (infogram) to the highly complex (power BI, Tableau). Artistry has a role in your data presentation, which can be strengthened by SVG tools such as RAWGraphs. Data can be represented in an infinite number of ways and the number is only increasing. From time-series data to geospatial data, scatter plots to nominal comparisons, bubble charts to spider charts, hierarchical tree diagrams to network maps and relational visualizations, you won't lack for options.
This is the fourth in a series of articles exploring'The Social Age 2019'. I redraw the map every year, so the work is cumulative over time. Today, Algorithmic War: how our evolving relationship with knowledge is shifting everything. Humans are pattern recognition machines, so it's ironic that we are facing such a struggle conceptualising, and coming to terms with, machines that can determine the patterns of humans. And yet that is exactly the foundation of the Algorithmic Wars, the new battleground of sense making and power in the Social Age.
Question Answering (QA), as a research field, has primarily focused on either knowledge bases (KBs) or free text as a source of knowledge. These two sources have historically shaped the kinds of questions that are asked over these sources, and the methods developed to answer them. In this work, we look towards a practical use-case of QA over user-instructed knowledge that uniquely combines elements of both structured QA over knowledge bases, and unstructured QA over narrative, introducing the task of multi-relational QA over personal narrative. As a first step towards this goal, we make three key contributions: (i) we generate and release TextWorldsQA, a set of five diverse datasets, where each dataset contains dynamic narrative that describes entities and relations in a simulated world, paired with variably compositional questions over that knowledge, (ii) we perform a thorough evaluation and analysis of several state-of-the-art QA models and their variants at this task, and (iii) we release a lightweight Python-based framework we call TextWorlds for easily generating arbitrary additional worlds and narrative, with the goal of allowing the community to create and share a growing collection of diverse worlds as a test-bed for this task.