Biopharma companies are relying more and more on artificial intelligence and machine learning (AI/ML) to help them uncover the intricacies of disease mechanisms and open up strategies to develop novel medicines for treatment. As a result, the BioWorld Artificial Intelligence price-weighted index, which includes biopharmaceutical companies, medical devices and health care services companies, has climbed in value and is currently up almost 37% year-to-date. Fueling the index has been biopharmaceutical company Bioxcel Therapeutics Inc., of New Haven, Conn., which is utilizing artificial intelligence to identify improved therapies in neuroscience and immuno-oncology. Its shares (NASDAQ:BTAI) have been on a tear so far this year, gaining a whopping 229%, catalyzed by significant clinical progress in its product pipeline. In July, the company reported that it had initiated an expanded access program at Massachusetts General Hospital (MGH) to provide its alpha 2A adrenoceptor agonist, BXCL-501, a sublingual thin-film formulation of dexmedetomidine, to individuals diagnosed with COVID-19 who are critically ill in the intensive care unit and may require calming or arousable sedation.
The move set off a wave of criticism from many Democratic and some Republican lawmakers, who said the decision undermined the pact. By ignoring a part of the agreement it finds inconvenient, they say, the Trump administration is encouraging other nations to do the same. And the sale of advanced armed drones could lead to the proliferation of the technology across the globe. The lawmakers are especially concerned about sales to Saudi Arabia and the United Arab Emirates, which have used American-made weapons to carry out a devastating war in Yemen that has left thousands of civilians, many of them children, dead. "If we allow Trump to start selling drones, we set a dangerous precedent that allows and encourages other countries to sell missile technology and advanced drones to our adversaries," Senator Christopher S. Murphy, Democrat of Connecticut and a sponsor of the bill, said in a statement on Wednesday.
At a typical annual meeting of the Association for Computational Linguistics (ACL), the program is a parade of titles like "A Structured Variational Autoencoder for Contextual Morphological Inflection." At this year's conference in July, though, something felt different--and it wasn't just the virtual format. Attendees' conversations were unusually introspective about the core methods and objectives of natural-language processing (NLP), the branch of AI focused on creating systems that analyze or generate human language. Papers in this year's new "Theme" track asked questions like: Are current methods really enough to achieve the field's ultimate goals? What even are those goals? My colleagues and I at Elemental Cognition, an AI research firm based in Connecticut and New York, see the angst as justified.
Mashable is celebrating Pride Month by exploring the modern LGBTQ world, from the people who make up the community to the spaces where they congregate, both online and off. "I think the funniest thing about this app -- the best thing about this app besides it being an astrology dating app…" said TikTok user @ladygleep, a 23-year-old named Glorianna, "is that while I was filling out my profile, it asked me if'I don't want to see or be seen by straight people.'" Glorianna, a filmmaker and photographer based in Connecticut, pointed out the feature on the astrology dating app NUiT. The app utilizes a similar like/pass model as other dating apps, but also gives users the opportunity to view the other person's birth chart and calculate astrological compatibility. Once users download NUiT they complete their profile, which is partially like that on other apps as it involves uploading photos.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. New York City's police department is reportedly considering the use of "pandemic drone" technology to determine if people are infected with coronavirus, even though a Connecticut town has already scrapped its plan due to privacy concerns. Westport residents were successful in stymying plans for a drone that could detect a person's temperature, along with their heart and respiratory rates, from as high as 190 feet in the air, The New York Post reported. The NYPD reached out to Westport police for contact information regarding Draganfly, the Canadian company that manufactures the drone.
This article is part of Privacy in the Pandemic, a Future Tense series. Since the pandemic began, authorities in New Delhi, Italy, Oman, Connecticut, and China have begun to experiment with fever-finding drones as a means of mass COVID-19 screening. They're claiming the aircraft can be used to better understand the health of the population at large and even to identify potentially sick individuals, who can then be pulled aside for further diagnostic testing. In Italy, police forces are reportedly using drones to read the temperatures of people who are out and about during quarantine, while officials in India are hoping to use thermal-scanner-equipped drones to search for "temperature anomalies" in people on the ground. A Lithuanian drone pilot even used a thermal-scanning drone to read the temperature of a sick friend who didn't own a thermometer.
If anyone knows the name "Draganfly," it may be from an unfortunate news story from last week. The Canadian company's plan to test a coronavirus-monitoring "pandemic drone" in Westport, Connecticut, came to a halt when anxious citizens and civil rights advocates got wind of it. But that was just one town. The company says it has many other takers, and that the pandemic drone is far from dead. News site VentureBeat has a great in-depth look at the drone company's COVID-19 work that is well worth a thorough read.
At a Stop & Shop supermarket near Hartford, Connecticut, one of the nation's first micro-fulfillment centers (MFCs for short) opened at the end of last year. Ahold Delhaize, Stop & Shop's Dutch-Belgian parent, carved out 12,000 square feet from the store during a recent remodel to make room for the MFC, which is operated by the retailer and with support from Takeoff Technologies. Through a glass window in a corner of the store, curious shoppers can get a glimpse at the automated mini-warehouse, where robots whoosh around grabbing cereal and soup. The system can handle up to 3,500 orders a week, although it's nowhere near that level yet. Stop & Shop's not alone: Walmart, Albertsons and others are also testing MFCs.
Curious how deep learning solutions are affecting your industry? On Wednesday, March 18th, join Upward, Connecticut Center for Advanced Technology (CCAT), and Connecticut Technology Council (CTC) for Hartford's first "teCTalk" focused on artificial intelligence/machine learning. Learn how machines are being taught to interact with the organic world around them and how this smart technology is working to elevate modern business. An esteemed panel of AI/ML experts across industries, including Upward Citizens GalaxE Solutions, VAANGO, and Saya Life, will navigate participants through the complex topic of deep learning. This event is designed to be interactive: pose your questions to the experts and engage with others in the crowd!
The convergence of machine learning and business intelligence is upon us, as BI tool makers increasingly are exposing ML capabilities to users, and users are performing ML activities in their BI tools. That's according to the latest Gartner report on analytics and BI tools, which was released this week. In its February 11 Magic Quadrant for Analytics and Business Intelligence (ABI) Platforms, the storied Stamford, Connecticut analyst firm did its best to quantify and qualify the trends in the sector. While BI and ML have largely existed on parallel tracks, with BI seeking to report what happened and ML seeking to predict what will happen, Gartner sees the two disciplines converging, at least as far as the toolsets are concerned. Not all ML work will occur within BI tools, of course.