InterDigital is dedicated to developing AI/ML based solutions to address the complex optimization problems that arise in wireless system design for 5G and beyond. Our engineers lead research to optimize wireless systems, particularly when the channel state is highly dynamic and channel state information (CSI) varies over time and location. Due to the highly non-linear nature of the underlying wireless optimization problems, deep neural networks offer an effective solution and enable inference to be done in quasi-real-time.

Efficient video compression is critical for the storage and transmission of growing video content, especially as deep learning-based approaches have quickly caught up with traditional approaches for image compression. InterDigital is a leader in the design of disruptive video codecs based on deep learning techniques. Building on top of its open sourced library CompressAI, Interdigital also offers solutions suited for interpretation by other neural networks or machines, like IoT devices.

Quantum computing is a revolutionary new technology that exploits quantum mechanical properties to enable a fundamentally new type of computation that can theoretically outperform classical computers in several areas. Future generations of wireless deployments will leverage technologies such as Massive MIMO, cell densification, innovative air interface multiplexing techniques, and mmWave frequencies which will require significantly-increased amounts of baseband computation. InterDigital is investigating the use of today’s Noisy Intermediate Scale Quantum devices in possible system architectures to leverage the power of quantum devices for future wireless networks.