An attorney with the American Civil Liberties Union (ACLU) who's overseeing a high-profile deportation case in Louisiana says she was stripped of her electronics moments before a pivotal hearing, preventing her from accessing evidence and court records that remained available to the three US government attorneys in the room, each of whom were allowed use of a laptop by the court. Louisiana immigration judge Jamee Comans ruled late last month that Columbia graduate student Mahmoud Khalil was eligible for deportation. During that hearing, however, Khalil's attorney Nora Ahmed says she was barred from bringing her laptop into the courtroom, despite having filed the proper paperwork in advance and being a frequent visitor to the immigration facility. "There should not be an advantage, no matter how small or how large, provided to a particular party over the other," says Ahmed. "Because that starts to infect the proceedings themselves and the notion of fundamental fairness that we all uphold in courtroom proceedings." The Justice Department did not respond to a request for comment.

Just to the side of the stage, level with the musicians, sat a pair of neuroscientists, Ying Choon Wu and Alex Khalil, who had been monitoring the brain waves of two audience volunteers sitting nearby, with their heads encased in research-grade headsets from a company called Cognionics. Wu, a scientist at the University of California, San Diego, investigates the effects of works of art on the brain; in another study, she's observing the brain waves of people viewing paintings at the San Diego Museum of Art. Khalil, a former U.C. San Diego researcher who now teaches ethnomusicology at University College Cork in Ireland, focuses on how music gets people to synchronize their behavior. Both aim to integrate art and science. Which makes them a good match for Allado-McDowell, who first pitched "Song of the Ambassadors" in January 2021 as a participant in the Collider, a Lincoln Center fellowship program supported by the Mellon Foundation.

Salah Khalil is the founder and chief executive officer of Macat International, a company that measures and develops critical thinking skills in higher education and in the corporate sector. Khalil is former strategy consultant at the Westminster Foundation for Democracy in London. He also serves on the advisory board of the Business School at the American University in Cairo. Khalil says many skills that we're using in the current economy might be surpassed by machines in the future. These skills will decay with time, and critical thinking is one of those skills that will not decay with time.

The last time you called a customer service hotline and it asked you about what issues you are facing and was able to give you more information, did you ever wonder about how all that is working? Well, you don't have nothing to worry about at all as Khalil Faraj & I (Fawaz Siddiqi) are here to tell you about how you can make a Voice Agent with Twilio and Watson Assistant. On the 11th of October, Khalil and I conducted a webinar about how a voice activated chatbot is made and how easy are the steps to make it, we covered various technologies such as Watson Assistant, Watson Speech to Text, Watson Text to Speech, Watson Voice Agent and integrated them with Twilio and vice versa. In addition, we also talked about the pipeline of making a chatbot, on the conversational design as well as the steps involved and what things we should take care of when making a conversational design. The webinar was divided into two parts, the first part was conducted by myself (Fawaz), where I talked about what exactly are chatbots, the types of chatbots and how do they fit in as the last step into our AI cycle, and I would say that this is the final step since this is an external facing tool through which your customers/users can actually interact with the AI based capabilities within your solution and have a human-to-human like interaction (with amazing analytical skills) to get answers to their questions.

May 8, 2019 While artificial intelligence (AI) still tends to be underfunded by big pharma, machine learning (ML) is creating efficiencies in the drug development process and collaboration between biologists and ML experts is becoming more commonplace. Companies are still formulating their overall AI strategy, but hopes are high for a future with "killer apps" for predicting toxicity and drug response. Those were among the themes that emerged from an "AI in Practice" keynote panel session at the recent Bio-IT World Congress & Expo in Boston. Participating panelists were Anne E. Carpenter, PhD, senior director of the Imaging Platform at Broad Institute of Harvard and MIT; Iya Khalil, PhD, chief commercial officer and co-founder of GNS Healthcare; Mariana Nacht, PhD, chief scientific officer, Vivid Biosciences; and Susie Stephens, PhD, senior director of Oncology & Vaccine R&D Information Technology at Pfizer. Increasingly, more user-friendly AI tools are getting into the hands of people with domain knowledge who understand the problems that most need solving, says Carpenter.

A large yet tidy refugee camp rises from the desert near the Syrian-Jordanian border. Most people wouldn't think of this as a hub of innovation, but nevertheless, a science and technology show has arrived with cameras and microphones. They're interviewing officials from UNICEF who describe the techniques they developed to safely remove sewage from the camp. Another week, and the cameras arrive in Stockholm to watch a new type of drone make its way through a dark tunnel. The show in question is 4Tech, a program on the BBC Arabic that since 2011 has attracted viewers in a market dominated by glitzy Arab versions of reality shows like "The Voice" and "Who Wants to Be a Millionaire."

NEW YORK, NY - APRIL 12: Model, philanthropist, and investor Natalia Vodianova, Epytom founder and CEO Anastasia Sartan, and MSNBC'Your Business' host JJ Ramberg speak onstage during Vanity Fair's Founders Fair at Spring Studios on April 12, 2018 in New York City. "I'm close to artificial intelligence (AI) and it scares the hell out of me," said Elon Musk during HBO's Westworld panel at South by Southwest this year. "It's capable of vastly more than anyone knows, and the improvement is exponential." Musk cited the example of AlphaGo, Google DeepMind's artificial-intelligence program best known as the first computer program to defeat a professional human player at the boardgame Go. The AI had been trained to tackle the Chinese game "Go," which is a 2,000-plus year old abstract war simulation.