工作计划公布新一代人工智能产业创新重点任务

Work Plan Unveiling the Key Tasks for Innovation in the NewGeneration Artificial Intelligence Industry This Plan is formulated to implement the requirements of theNew GenerationArtificial Intelligence Development Plan1([2017]State Councildocumentno. 35) andtheThree-Year Action Plan for Promoting Development of a New Generation ArtificialIntelligence Industry(2018–2020)2([2017]MIIT documentNo. 315), and to accelerate innovation-driven development of China’s new generation artificial intelligence (AI)industry. I.Work Objectives Focusing on the key directions of “cultivating intelligent products, makingbreakthroughs in core foundations, deepening the development ofsmartmanufacturing, and building supporting systems,” this Plan will solicit and select anumber of work units that have mastered key and core technologies(关键核心技术)and possess strong innovation capacity to carry out concentrated efforts on majorchallenges. The aim is to achieve breakthroughs in abatchof technologicallyadvanced, high-performanceiconicAI products,platforms, and serviceswith fruitfulapplications; establish benchmarks and direction for innovation across the industry;and foster the main forces driving innovation in China’s AI industry. II.Challenge Tasks(揭榜任务)and Expected Targets (i)Intelligent Products 1.Intelligent Connected Vehicles Challenge task:Conduct R&D on key technologies and products includingautonomous driving chips, intelligent algorithmsforvehicles, autonomous drivingsystems, andonboardcommunicationssystems. Build a vehicle intelligentization(智能化)platform centered ona vehicleintelligent computing platform that integratessoftware, hardware, algorithms, connected communications, and information security. Expected targets:By 2020, achieve breakthroughs in key technologies such asintelligent chipsfor autonomous driving, intelligent algorithmsfor vehicles,autonomous driving, andonboardcommunications. Enable intelligent connectedvehicles to reach the level ofautonomous driving with preconditions (有条件自动驾驶).Narrow the gap with the international advanced levelin intelligent chips forautonomous drivingin computing capabilities such as image processing, informationfusion, and intelligent control. Bringthe communication capacity and energy-efficiencyratio ofonboardV2X systems up to the international advanced level. Meet thecomputing and communication technical requirements for intelligent perception,autonomous decision-making, cooperative control, and intelligent informationexchange and sharing underautonomous driving with preconditions. Completetechnical and functional verification and application demonstrations of a safe and reliable vehicle intelligentization platform. Form platform-related standards to supporthighly automated(HA-level)driving. 2.Intelligent Service Robots Challenge task:Carry out R&D on key technologies including intelligentinteraction, intelligent operation, multi-robot collaboration, 3D imaging andpositioning, intelligent, precise, and safe control, and human-machine collaborationinterfaces. Develop home service robots such as those for cleaning, eldercompanionship, rehabilitation, assistance for persons with disabilities, and children’seducation; public service robots such as inspection and tour-guide robots; specialservice robots such as fire-fighting and rescue robots; and surgical robots and theiroperating systems. Expected targets:By 2020, achieve breakthroughs in key technologies such asenvironmental perception, natural interaction, autonomous learning, and human-machine collaboration for intelligent service robots. Realize mass production andapplication ofsmart homeservice robots and intelligent public service robots.Complete prototype development of robots for medical rehabilitation, elder anddisability assistance, and fire and disaster rescue. Complete technical and functionalverification and applicationdemonstrations. 3.Smart UAVs Challenge task:Conduct R&D and application of key technologies includingintelligent obstacle avoidance, automatic cruising, autonomous flight in complexenvironments, and swarm operations. Apply next-generation communication,positioning, and navigationtechnologies in UAV data transmission, link control(链路控制), and monitoring and management. Develop key components such as intelligentflight control systems and highly integrated dedicated chips. Expected targets:By 2020, achieve a precision of 0.005 degrees for the three-axis mechanicalgimbal stabilizersof intelligent consumer-grade UAVs. Realize 360-degree omnidirectional perception and obstacle avoidance, achieve automatic andintelligent forced avoidance of air traffic control zones, and develop products withstrong global competitiveness. 4.Medical Imaging-Assisted Diagnosis Systems Challenge task:Standardize and regulate medical imaging data collection;conduct R&D on medical imaging–assisted diagnostic technologies for typical diseaseareas such asthebrain, lung, eye, bone, cardiovascularand cerebrovascularsystem,a