Despite the travesties of 2020, (AI) AI has quickened its progress. Baidu upped its performance across vaccines, autonomous vehicles, language process, and quantum computing.
The year 2020 was deeply difficult for voters, companies, and governments round the world. As covid-19 unfold, requiring extensive health and safety restrictions,
AI (AI) applications vie an important role in saving lives and fostering economic resilience. Analysis and development (R&D) to reinforce core AI capabilities, from autonomous driving and tongue process to quantum computing, continued intense.
Baidu was at the forefront of the many vital AI breakthroughs in 2020. This text outlines 5 vital advances with implications for combating covid-19 furthermore as remodeling the long run of our economies and society.
1. AI and immunizing agent development
The trend—and why it matters. It generally takes years, if not decades, to develop a replacement immunizing agent. However by March 2020, immunizing agent candidates to fight covid-19 were already undergoing human tests, simply 3 months when the primary according cases.
The record speed of immunizing agent development was partially due to AI models that helped researchers analyze Brobdingnag Ian amounts of information regarding coronavirus.
There are tens of thousands of subcomponents to the outer proteins of an epidemic. Machine learning models will type through this blizzard of information and predict that subcomponents are the foremost immunogenic—i.e., capable of manufacturing associate degree immune response—and thereby guide researchers in coming up with targeted vaccines.
The utilization of AI in immunizing agent development might revolutionize the approach all vaccines are created within the future.
Baidu’s innovations. In Feb, Baidu opened its Linear Fold AI algorithmic program for scientific and medical groups operating to fight the virus. Linear Fold predicts the secondary structure of the polymer (RNA) sequence of a virus—and will thus considerably quicker than ancient ribonucleic acid folding algorithms.
Linear Fold was ready to predict the secondary structure of the SARS-CoV-2 ribonucleic acid sequence in precisely twenty seven seconds, a hundred and twenty times quicker than different ways.
This can be vital, as a result of the key breakthrough of covid-19 vaccines has been the event of ribonucleic acid (mRNA) vaccines. rather than standard approaches, that insert a tiny low portion of an epidemic to trigger an individual’s response, RNA teaches cells the way to build a super molecule that may prompt associate degree response, that greatly shortens the time span concerned in development and approval.
To support RNA immunizing agent development, Baidu later developed associate degreed free an AI algorithmic program for optimizing RNA sequence style known as Linear Design that aims to resolve the matter of unstable and unproductive RNA sequences in candidate vaccines.
In addition to gap up access to Linear Fold and Linear Design for researchers round the world, Baidu conjointly shaped a strategic partnership with the National Institute for infective agent sickness management and hindrance, a part of the Chinese Center for sickness management and hindrance.
Following a virulent disease at Beijing’s Xanadu market in June, Baidu’s AI technology allowed authorities to finish ordering sequencing of the coronavirus strain inside ten hours, serving to curb the eruption.
In Gregorian calendar month, Baidu unveiled Paddle Helix, a machine learning-based bio-computing framework geared toward facilitating the event of immunizing agent style, drug discovery, and preciseness medication.
2. Totally machine-controlled driving and therefore the rollout of robot axis
The trend—and why it matters. Autonomous driving technology continued to mature in 2020, with the industry’s leading firms testing driverless cars and gap up rob taxi services to the general public in numerous cities.
Totally machine-controlled driving, that allows rides while not an individual’s safety driver on board, are going to be necessary for the quantifiability and commercialization of autonomous driving.
Baidu’s innovations. Over the past year, Baidu launched the Phoebus Go Rob taxi service within the Chinese cities of Changsha, Changzhou, and Beijing—including in busy industrial areas—becoming the sole company in China to start out rob taxi trial operations in multiple cities.
These developments are a results of Baidu’s continuous innovation in developing AI systems that may safely management a vehicle in advanced road conditions and solve the bulk of attainable problems on the road, freelance of an individual’s driver.
At Baidu World 2020, its annual technology conference, Baidu conjointly incontestable its totally machine-controlled driving capability—where the AI system drives severally while not associate degree in-vehicle safety driver.
To support totally machine-controlled driving, Baidu developed the 5G Remote Driving Service, a security live whereby remote human operators will take charge of a vehicle within the event of associate degree exceptional emergency. Baidu’s action of totally machine-controlled driving, and therefore the rollout of its robot axis, suggests a positive outlook for the commercialization of the technology within the close to future.
3. Applied tongue process
The trend—and why it matters. In 2020, tongue systems became considerably a lot of advanced at process aspects of human language like sentiment and intent, generating language that aligns with human speaking and writing patterns, and even visual understanding, which means the potential to specific understanding regarding a picture through language.
These tongue models are powering a lot of correct search results and a lot of refined catboats and virtual assistants, resulting in higher user experiences and making worth for businesses.
Baidu’s innovations. Baidu free a replacement multifold sequence framework for language generation known as ERNIE-GEN. By coaching the model to predict semantically complete blocks of text, ERNIE-GEN performs at associate degree elite level across a variety of language generation tasks,
Baidu’s vision-language model ERNIE-Vila conjointly achieved vital progress in visual understanding, ranking 1st on the tape machine leaderboard, a dataset of 290,000 queries engineered by the University of Washington and therefore the Allen Institute for AI that aims to check visual understanding ability.
ERNIE-Vila conjointly achieved progressive performance on 5 vision-language downstream tasks. Visual understanding lays the muse for pc systems to physically move in everyday scenes, because it involves each understanding visual content and expressing it through language. It’ll be crucial for rising the standard of human-machine interaction.
4. Quantum computing
The trend—and why it matters. Quantum computing created vital inroads in 2020, as well as the Jiu hang computer’s action of quantum domination. . For instance, quantum computing might be accustomed run a generative machine learning model through a bigger dataset than a classical laptop will method, therefore creating the model a lot of correct and helpful in real-world settings.
Advanced technologies like deep learning algorithms also are taking part in associate more and more important role within the development of quantum computing analysis.
Baidu’s innovations. Baidu achieved variety of technical breakthroughs in 2020 that promise to bridge AI and quantum computing
In May, Baidu launched Paddle Quantum, a quantum machine learning development toolkit that may facilitate scientists and developers quickly build and train quantum neural network models and supply advanced quantum computing applications.
The ASCII text file toolkit each supports developers building quantum AI applications, and helps deep learning enthusiasts develop quantum computing.
In Sept, Baidu entered cloud-based quantum computing with the launch of Quantum Leaf, that provides quantum development kits like Compute, and might shorten the life cycle of quantum programming and facilitate notice a ‘closed-loop’ quantum tool chain.
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5. AI chips
The trend—and why it matters. AI hardware continued to develop in 2020, with the launch of many AI chips tailor-made for specialized tasks.
Whereas a standard processor is capable of supporting AI tasks, AI-specific processors area unit changed with explicit systems that may optimize performance for tasks like deep learning. As AI applications become a lot of widespread, any increase in performance or reduction in price will unlock a lot of price for firms that operate a good network of knowledge centers for business cloud services, and might facilitate the company’s internal operations.
Baidu’s innovations. At Baidu World 2020, the corporate offered a glimpse into its next-generation AI processor, the Kunlun Mountains two, that it plans to place into production in early 2021.
The chip uses seven nm (nm) process technology and its most process capability is over 3 times that of the previous generation, the Kunlun Mountains one.
The Kunlun Mountains chips area unit characterized by high performance, low cost, and high flexibility, which may support a broad vary of AI applications and situations, serving to foster larger AI adoption and reducing usage prices. over twenty,000 Kunlun Mountains one chips have currently been deployed to support Baidu’s computer programmer and Baidu Cloud partners since they launched in 2018, empowering industrial producing, sensible cities, sensible transportation, and different fields.