GovTech HealthTech News Pharma Research

These five AI developments will shape 2021 and beyond

AI developments

Despite the travesties of 2020, has quickened its progress. Baidu upped its performance across vaccines, autonomous vehicles, language processing, and quantum computing.

Copyright by www.technologyreview.com

SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learning

The year 2020 was profoundly challenging for citizens, companies, and governments around the world. As covid-19 spread, requiring far-reaching health and safety restrictions, () applications played a crucial role in saving lives and fostering economic resilience. Research and development (R&D) to enhance core capabilities, from and to quantum computing, continued unabated.  

Baidu was at the forefront of many important breakthroughs in 2020. This article outlines five significant advances with implications for combating covid-19 as well as transforming the future of our economies and society.

1. and vaccine development

The trend—and why it matters. It typically takes years, if not decades, to develop a new vaccine. But by March 2020, vaccine candidates to fight covid-19 were already undergoing human tests, just three months after the first reported cases. The record speed of vaccine development was partly thanks to models that helped researchers analyze vast amounts of data about coronavirus.

There are tens of thousands of subcomponents to the outer proteins of a virus. Machine learning models can sort through this blizzard of data and predict which subcomponents are the most immunogenic—i.e., capable of producing an immune response—and thereby guide researchers in designing targeted vaccines. The use of in vaccine development may revolutionize the way all vaccines are created in the future.

Baidu’s innovations. In February, Baidu opened its LinearFold algorithm for scientific and medical teams working to fight the virus. LinearFold predicts the secondary structure of the ribonucleic acid (RNA) sequence of a virus—and does so significantly faster than traditional RNA folding algorithms. LinearFold was able to predict the secondary structure of the SARS-CoV-2 RNA sequence in only 27 seconds, 120 times faster than other methods. This is significant, because the key breakthrough of covid-19 vaccines has been the development of messenger RNA (mRNA) vaccines. Instead of conventional approaches, which insert a small portion of a virus to trigger a human immune response, mRNA teaches cells how to make a protein that can prompt an immune response, which greatly shortens the time span involved in development and approval. 

To support mRNA vaccine development, Baidu later developed and released an algorithm for optimizing mRNA sequence design called LinearDesign, which aims to solve the problem of unstable and unproductive mRNA sequences in candidate vaccines.  

In addition to opening up access to LinearFold and LinearDesign for researchers around the world, Baidu also formed a strategic partnership with the National Institute for Viral Disease Control and Prevention, part of the Chinese Center for Disease Control and Prevention. Following an outbreak at Beijing’s Xinfadi market in June, Baidu’s technology allowed authorities to complete genome sequencing of the coronavirus strain within 10 hours, helping curb the outbreak. In December, Baidu unveiled PaddleHelix, a -based bio-computing framework aimed at facilitating the development of vaccine design, drug discovery, and precision medicine.

2. Fully automated driving and the rollout of robotaxis

The trend—and why it matters. Autonomous driving technology continued to mature in 2020, with the industry’s leading companies testing driverless cars and opening up robotaxi services to the public in various cities. Fully automated driving, which enables rides without a human safety driver on board, will be necessary for the scalability and commercialization of . […]

Read more: www.technologyreview.com

0 Comments

Leave a Reply