The latest technology and digital news on the web

Human-centric AI news and analysis

Scientists use supercomputers and AI to actuate how good (or deadly) your street drugs are

A team of advisers from the University of Victoria have developed an AI system able of free the accepted actinic makeup of drugs. While it involves supercomputers and a robust cocktail of cloud-based apparatus acquirements technologies, the ultimate goal is to make it dead-simple for just about anyone to tell what’s in their drugs.

Approximately 70,000 deaths from drug balance are recorded annually in the US alone. While the causes are both myriad and systemic, a cogent number of these tragedies could potentially be abhorred if consumers knew what was in their drugs.

The issue relates to those who take both ‘legal’ decree drugs under the care and admonition of properly-licensed medical able and those who abuse decree drugs or use alleged ‘street’ drugs.

According to a report from Ken Strandberg in Technology Networks’ Informatics, the activity came about to abode apropos over things such as fentanyl levels in opioids and inconsistencies in the able decree drug markets.

When most laypersons think about drug testing, they’re apparently apperception article like a urine sample or a hair test. But drug ‘checking’ is used to actuate what’s in a drug itself. Typically, we have to take a drug maker at their word. When big pharma tells us what’s in our pills, we pretty much have to accept it.

And the same goes for the alleged ‘street’ drug market. After a class and some committed accessories it’s around absurd for addition to actuate what’s absolutely in the molly, MDMA, or other drugs people are taking.

The big idea here is to ultimately advance a system for medical professionals – such as pharmacists – to bound and accurately actuate what’s absolutely in the drugs they issue. But the scientists also want to see their work made accessible to the accepted public.

Strandberg’s piece quotes Dennis Hore, a member of the University of Victoria team:

A afresh funded activity seeks to build an alternate kiosk, where people can bring their samples for analysis, and the computer provides advice based on science, after gender or race bias or bias based on their answers to questions.

Dirty drugs, whether decree or ‘street,’ are amenable for untold deaths. A system that can bound and easily actuate what’s in your drugs could be an absurd game-changer, but shrinking a class down to kiosk size is no simple task.

Where normal drug assay involves concrete allure – with machines and beakers and so forth – the Victoria team’s system relies on a robust cocktail of AI, apparatus learning, and supercomputers to make ‘surface’ inferences. The reason for this is simple: we can’t put a glass beaker or a centrifuge on the internet, but we can use cloud compute to put supercomputer-based AI online.

Quick take: The advisers are using brute force here, and not just because the supercomputer they’re using (called Arbutus 2) has 1,000s of Intel Xeon processors. The AI powering the assay uses a kitchen sink access involving several altered types of AI and ML paradigms. This, according to the team, makes it accessible for the system to actuate both known quantities and absolutely novel drug compounds.

In much the same way that class testing helps to assure pharmacies and their patients from ‘bad batches’ and needle barter programs help assure addicts from disease, this AI system could serve as a new, able form of aegis for drug users.

Published January 11, 2021 — 18:59 UTC

Project uses Cloud Computing and AI To Abode Unsafe Street Drugs on Technology Networks

Hottest related news