Samsung Group announced on July 11 that it selected 12 tasks in three fields – artificial intelligence for smart devices, quick-charge battery and functional exterior materials – for this year’s Samsung Research Funding Program for Future Technologies. This program, which started in 2013, is to support the development of basic sciences, materials science and information & communications technology as well as innovative and futuristic technologies based on an investment of 1.5 trillion won for 10 years.
Specifically, the first field consists of six projects, including the development of dedicated deep learning chips to be led by professor Kim Jae-joon at Pohang University of Science & Technology. This task is to realize a low-power hardware accelerator imitating brain networks and operations by making use of silicon semiconductor technology. The outcome of the research is expected to be in wide use as a hardware chip platform for artificial intelligence and the Internet of Things as it enables on-device learning without a cloud- or server-based deep learning software algorithm.
The second field is divided into three projects and one of them is to ensure rapid charging without energy density loss based on the application of a novel functional material of composite interface reaction, which is to be led by Dr. Lee Sang-min at the Korea Electrotechnology Research Institute. The battery to be developed is expected to ensure an 80% capacity within 10 minutes by dealing with the problem of lithium-ion batteries that their capacities are rapidly reduced when the batteries are charged for a reduced period of time.
The third includes Yonsei University professor Kim Do-hyang’s research on a novel metallic material that is flexible and capable of recovering from cuts and maintaining the natural texture of metal. This material is expected to be adopted by various IT devices, robots, etc.