Individuals involved in gang-related activity use mainstream social media including Facebook and Twitter to express taunts and threats as well as grief and memorializing. However, identifying the impact of gang-related activity in order to serve community member needs through social media sources has a unique set of challenges. This includes the difficulty of ethically identifying training data of individuals impacted by gang activity and the need to account for a non-standard language style commonly used in the tweets from these individuals. Our study provides evidence of methods where natural language processing tools can be helpful in efficiently identifying individuals who may be in need of community care resources such as counselors, conflict mediators, or academic/professional training programs. We demonstrate that our binary logistic classifier outperforms baseline standards in identifying individuals impacted by gang-related violence using a sample of gang-related tweets associated with Chicago. We ultimately found that the language of a tweet is highly relevant and that uses of ``big data'' methods or machine learning models need to better understand how language impacts the model's performance and how it discriminates among populations.

A new machine learning tool aims to help scientists investigate why some people develop long COVID, a series of debilitating, chronic symptoms that last months to years after the initial COVID-19 infection. Developed by a team of researchers from institutions across the country, led by Justin Reese of Berkeley Lab and Peter Robinson of Jackson Lab, the software analyzes entries in electronic health records (EHRs) to find symptoms in common between people who have been diagnosed with long COVID and to define subtypes of the condition. The research, which is described in a new paper in eBioMedicine, also identified strong correlations between different long COVID subtypes and pre-existing conditions such as diabetes and hypertension. According to Reese, a computer research scientist in Berkeley Lab's Biosciences Area, this research will help improve our understanding of how and why some individuals develop long COVID symptoms and may enable more effective treatments by helping clinicians develop tailored therapies for each group. For example, the best treatment for patients experiencing nausea and abdominal pain might be quite different from a treatment for those suffering from persistent cough and other lung symptoms.

While some towns are all but nixing Halloween, Reese's is hoping to bring safe trick-or-treating to neighborhood doorsteps. The company is sending out a remote-controlled robotic door to roll through neighborhoods and dispense king-size Reese's Peanut Butter Cups. When it shows up, kids only have to say "trick or treat" to get their candy. "This Halloween is unlike any other, so we've upped the ante on creativity as a result," Allen Dark, Reese's senior brand manager, said in a statement. "A robotic Reese's dispensing door is just what the world needs right now!" The door works using a remote control from 5,000 feet away.

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AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. What Is The Best Book On Artificial Intelligence (AI)? I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade.

From the most basic tools of the past to the complicated machines we use today, technology has changed the course of human history. In the fundamental sense, technology augments our abilities – it helps us to solve problems, and allows us to achieve things that would never have been possible before. But there's a clear difference between the simple tools used by our distant ancestors and the artificially intelligent computer programmes currently shaping the world: one enhances our bodies, and the other supplements the workings of our brains. This raises a whole host of philosophical questions about the nature of intelligent machines, their ethical use, and the state of humanity itself. One man who has more than a passing interest on this subject is Byron Reese, GigaOm publisher, futurist, and author of the recent book The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity.

AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade. My plan for this article was to nominate the single best book on AI – as in, if you could only read one, which book should it be?

AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. What Is The Best Book On Artificial Intelligence (AI)?Adobe Stock I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade. My plan for this article was to nominate the single best book on AI – as in, if you could only read one, which book should it be?

The Terminator is a 1984 American science-fiction action film directed by James Cameron. It stars Arnold Schwarzenegger as the Terminator, a cyborg assassin sent back in time from 2029 to 1984 to kill Sarah Connor (Linda Hamilton), whose son will one day become a savior against machines in a post-apocalyptic future. Michael Biehn plays Kyle Reese, a soldier from the future sent back in time to protect Connor. The screenplay is credited to Cameron and producer Gale Anne Hurd, while co-writer William Wisher Jr. received a credit for additional dialogue. Executive producers John Daly and Derek Gibson of Hemdale Film Corporation were instrumental in the film's financing and production.[4][6][7] The Terminator topped the US box office for two weeks and helped launch Cameron's film career and solidify Schwarzenegger's. It received critical acclaim, with many praising its pacing, action scenes and Schwarzenegger's performance. Its success led to a franchise consisting of four sequels (Terminator 2: Judgment Day, Terminator 3: Rise of the Machines, Terminator Salvation and Terminator Genisys), a television series, comic books, novels and video games. In 2008, The Terminator was selected by the Library of Congress for preservation in the National Film Registry, being deemed "culturally, historically, or aesthetically significant". In 1984 Los Angeles, a cyborg assassin known as a Terminator arrives from 2029 and steals guns and clothes.

For an outstanding overview of some of the most intriguing ideas about the potential benefits and dangers in this quickly-growing industry (from both a scientific and pop culture perspective), read Tad Friend's essay "How Afraid Should We Be of A.I.?" in the May 14 issue of the New Yorker. Amongst the many thought leaders quoted in this overview is Amir Husain, the Founder and CEO of the Austin-based artificial intelligence firm SparkCognition. The author of the book "The Sentient Machine: The Coming Age of Artificial Intelligence" as well as the driving force behind the December 13–14 conference known as Time Machine 2017, he arrives in this New Yorker piece because of his belief that only an AI-enhanced system can prevent humans from intentionally and maliciously misusing this increasing powerful technology. According to Hussain, "The'choice' [on how to regulate AI] is really no choice at all: we must fight AI with AI." For a slightly different take on this fast-evolving industry, read "The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity."