The year 2020 was extremely difficult for individuals, businesses, and governments all around the world. Artificial intelligence (AI) applications played a critical role in saving lives and cultivating economic sustainability as the Covid-19 spread.
This article examines four important developments that have contributed to managing the Covid-19 crisis as well as changing the trajectory of our economies and culture.
Vaccine development and AI
A new vaccine usually takes years, if not decades, to produce. However, just three months after the initial few cases were confirmed, the testing for the vaccine had already begun in countries like China. The record-breaking pace of vaccine production was made possible in part by AI models that assisted researchers in analyzing massive quantities of coronavirus data.
Machine learning algorithms will sift through this deluge of information and determine which subcomponents are the most immunogenic—that is, capable of eliciting an immune response—and thereby help researchers design targeted vaccines. The application of AI in vaccine research has the potential to change the way all vaccines are developed in the future.
Full automation of vehicles and robotaxis
In 2020, the industry’s leading firms began to pilot driverless vehicles and open up robotaxi services to the public in numerous areas. Baidu also demonstrated its fully automatic driving capabilities at Baidu World 2020, its annual technology meeting, in which the AI system drives autonomously without the assistance of an in-vehicle safety driver. Baidu created the 5G Remote Driving Service to enable fully autonomous driving, a safety mechanism in which remote human controllers would take control of a car in case of emergencies.
Every year, almost 1.25 million people are killed on the roads, with the majority of these fatalities caused by human driver error. The widespread introduction of self-driving cars would significantly reduce this figure. Aside from these safety incentives, self-driving vehicles can have many other benefits to the environment and society.
Automated authentic language processing
Natural language systems became considerably more advanced in 2020 at interpreting facets of human language such as emotion and purpose. It has also become capable of developing language that aligns with human speech and writing habits and also visual comprehension. These natural language models power more precise search results as well as more advanced chatbots and virtual assistants, resulting in improved customer interfaces and added value for companies.
Quantum computing with AI
In 2020, quantum computing made major inroads, with the Jiuzhang machine achieving quantum dominance. This is significant for AI, because quantum computation has the ability to significantly boost AI implementations as opposed to binary-based classical computers. For example, quantum computing may be used to run a generative machine learning algorithm over a greater dataset than a traditional computer would handle, improving the model’s accuracy and utility in real-world environments. Deep learning algorithms, for example, are now playing an increasingly important role in the advancement of quantum computing technology.
Artificial intelligence has impressed many with countless breakthroughs over the years, and this year was no exception. Throughout the year, we saw incredible advances in reinforcement learning, neural networks, and other fields. Tech giants from around the world made numerous advances in artificial intelligence to dispel any remaining concerns about achieving real AI.