Collaborating Authors


Global Big Data Conference


In the United States, an estimated 114,000 people were waiting for organ transplants, and only 30% of those got their organs on time in 2019. According to Kaiser Health News and Reveal from the Center of Investigative Reporting, nearly 170 organs could not be transplanted. Almost 370 endured near misses with delays of two hours or more because of transportation problems. According to the American Transplant Foundation, 20 people die each day because they do not receive their lifesaving organs in time, making the number of annual deaths greater than 40,000. Patti Niles is CEO of Southwest Transplant Alliance, a non-profit organ procurement organization.

Is Artificial Intelligence The New Logistics Technology For Organ Transportation?


Commercial Aviation has great importance in the ... [ ] transport of organs for transplants in receiving patients. Studies show that commercial air carriers carry more than 9,000 organs a year on board airplanes with passengers. In the United States, an estimated 114,000 people were waiting for organ transplants, and only 30% of those got their organs on time in 2019. According to Kaiser Health News and Reveal from the Center of Investigative Reporting, nearly 170 organs could not be transplanted. Almost 370 endured near misses with delays of two hours or more because of transportation problems.

Researchers call for bias-free artificial intelligence


Clinicians and surgeons are increasingly using medical devices based on artificial intelligence. These AI devices, which rely on data-driven algorithms to inform health care decisions, presently aid in diagnosing cancers, heart conditions and diseases of the eye, with many more applications on the way. In a new study, Stanford faculty discuss sex, gender and race bias in medical technologies. Pulse oximeters, for example, are more likely to incorrectly report blood gas levels in dark-skinned individuals and in women. Given this surge in AI, two Stanford University faculty members are calling for efforts to ensure that this technology does not exacerbate existing heath care disparities.

DeepMind's AI predicts structures for a vast trove of proteins


The human mediator complex has long been one of the most challenging multi-protein systems for structural biologists to understand.Credit: Yuan He The human genome holds the instructions for more than 20,000 proteins. But only about one-third of those have had their 3D structures determined experimentally. And in many cases, those structures are only partially known. Now, a transformative artificial intelligence (AI) tool called AlphaFold, which has been developed by Google's sister company DeepMind in London, has predicted the structure of nearly the entire human proteome (the full complement of proteins expressed by an organism). In addition, the tool has predicted almost complete proteomes for various other organisms, ranging from mice and maize (corn) to the malaria parasite (see'Folding options').

DeepMind's AI has finally shown how useful it can be


Marcelo Sousa, a biochemist at the University of Colorado Boulder, had spent ten years trying to crack a particularly tricky puzzle. Sousa and his team had collected reams of experimental data on a single bacterial protein linked to antibiotic resistance. Working out its structure, they hoped, would help to find inhibitors that could stop that resistance from building. But, year after year, the puzzle remained unsolved. Within 15 minutes, DeepMind's machine learning system had solved the structure.

Interweaving Poetic Code Links Textiles with Coding


While the project centred around an exhibition in Hong Kong at the former cotton spinning mills housing the Centre for Heritage, Arts and Textile (CHAT, 30 April–18 July 2021), it kicked off with a Zoom symposium, Poetic Emergences: Organisation through Textile and Code (16–19 April 2021), that foregrounded the work of weavers, programmers, philosophers, and community workers investigating the transformative processes of textile and code. Keynote speaker Alexander R. Galloway, a New York-based media studies professor, discussed the innovations of two female mathematicians at the intersection of weaving and computation: Ada Lovelace (1815–1852), who theorised that Jacquard loom punch cards could store data in an analytical machine (i.e. Moderator Amy K.S. Chan, a Hong Kong-based professor and scholar, introduced Nüshu (literally: 'female script'), a syllabic script that was written and embroidered by women in Imperial China to compose fiction and correspond undetected by male family members. In'Session 2: Metaphors of E-Textiles', scholar Annapurna Mamidipudi discussed the PENELOPE project, which aims to integrate ancient weaving into the realm of digital technology, through the lens of her work with handloom weavers in South India. Mamidipudi riled against the pure academicians who confine the practice of weavers as'some kind of embodied ethno-mathematics that are not universal', and described weaving as a'technical mode of existence' that performs digital intelligence.

DeepMind Releases Accurate Picture of the Human Proteome – "The Most Significant Contribution AI Has Made to Advancing Scientific Knowledge to Date"


Protein structures to represent the data obtained via AlphaFold. DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins. Partners use AlphaFold, the AI system recognized last year as a solution to the protein structure prediction problem, to release more than 350,000 protein structure predictions including the entire human proteome to the scientific community. DeepMind today announced its partnership with the European Molecular Biology Laboratory (EMBL), Europe's flagship laboratory for the life sciences, to make the most complete and accurate database yet of predicted protein structure models for the human proteome. This will cover all 20,000 proteins expressed by the human genome, and the data will be freely and openly available to the scientific community.

Why Robopets Will Never Be Real Enough


Every morning, I am stirred awake by one of the dumbest creatures in existence: a once-abandoned, now adopted 3-year-old orange tabby cat named Cheddar. In exchange for this wake up service, Cheddar gets free meals, pricy vet trips, and plenty of scritches, as do tens of millions of other pets in the U.S. alone. The more cynical among us might say that pets are little more than expensive and far too loud roommates. Not only do you have to regularly pay attention to and feed these roomies, but oftentimes you'll need to fork over lots of money to keep them alive, particularly for breeds predisposed to health problems. It shouldn't be surprising, then, that for decades, some segment of the population has hoped that these furballs could one day be replaced by mechanical facsimiles with less upkeep and cost but all the benefits of domestic companionship--a robotic pet, in so many words.

We Better Control Machines Before They Control Us


My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents, and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.

We're More of Ourselves When We're in Tune with Others - Issue 104: Harmony


When musicians have chemistry, we can feel it. There's something special among them that's missing when they perform alone. Anyone who's heard a Mick Jagger solo album knows that's the case. Clearly nature wants us to jam together and take flight out of our individual selves. The reward is transcendence, our bodies tell us so. It's a question that one of the most refreshing neuroscientists who studies music has been probing lately. Refreshing because her lab is not only in academia but also on stage, where she performs as an opera singer and with chamber ensembles. Talking to Indre Viskontas is a treat because she animates her research as a scientist with her experiences as an artist.