Behind the research

Author: Dr Mallik Tatipamula FRS FREng FRSE Digital infrastructure is entering a new architectural phase. For decades, networks were primarily designed to transfer data between endpoints. In the emerging era of autonomous systems, however, this role is expanding. Networks must evolve from communication platforms into coordination infrastructures that enable distributed intelligence to operate coherently across the physical world. Autonomous systems such as vehicles, robots, industrial machines, and intelligent infrastructure operate in dynamic environments where decisions must be made continuously and collaboratively. These systems rely not only on sensing and artificial intelligence but also on digital infrastructure capable of coordinating information, [...]

Written by Professor Marco Di Renzo. Professor of Telecommunications Engineering, Kings College London The Evolution Towards Connected Intelligence Future networks are expected to go far beyond conventional communications of connected people and things, evolving into connected intelligence. Three additional usage scenarios will be fostered in 6G: integrated artificial intelligence and communications, integrated sensing and communications, and ubiquitous connectivity. Integrating Communication, Sensing and Computation These scenarios call for the fusion of the physical, biological, and cyber worlds, which naturally involves three core modules: communication for information sharing, sensing for information acquisition, and computation for information processing and decision-making. This integration, termed integrated [...]

Author: Mallik Tatipamula, FRS FREng FRSE My previous CHEDDAR article (https://cheddarhub.org/blog/from-iot-to-physical-ai-how-6g-transforms-connected-things-into-intelligent-environments-2/) explained Physical AI as the evolution beyond IoT at the application level. This note complements it by demonstrating that this shift arises from a deeper architectural transition in networks, from packet delivery to workload execution to verifiable multi-agent interaction explaining why 6G must be designed as coordination infrastructure rather than merely connectivity infrastructure. Abstract Mobile networks are commonly interpreted as communication systems whose evolution is primarily driven by advances in radio performance, such as higher throughput, lower latency or improved spectral efficiency. Historical deployment patterns, however, suggest an additional [...]

From Convergence to Continuity in the Design of Intelligent Systems Written by Dr Mallik Tatipamula, FRS FREng FRSE, CTO, Ericsson Silicon Valley    Executive Summary The evolution from connected things to intelligent environments fundamentally changes what infrastructure must guarantee. In the Internet era, correctness meant delivering data reliably. In the era of Physical AI, where autonomous agents sense, decide, and act across the real world, correctness must expand to preserving meaning, intent, trust, and accountability across distributed intelligence. This article introduces cognitive continuity as the missing architectural property of AI-native infrastructure: the ability of systems to sustain coherence as cognition [...]

Written by Dr Laksh Bhatia, Wireless Systems Researcher, Engineer and Innovator, InterDigital, Inc “What is the use-case? Why should we build it?” This has been the guiding principle of my academic and industrial journey. Over the past decade, I have dedicated myself to designing and constructing systems that have since been deployed on over a million devices. My work has encompassed a wide range of areas and has been conducted under different paradigms. From wireless sensor networks to the Internet of Things (IoT), cyber-physical systems, and more recently 6G research, the overarching objective has remained the same: to design efficient [...]

Written by Dr Mallik Tatipamula, FRS FREng This article explores Physical AI as the next step beyond IoT, and why 6G and Integrated Sensing and Communications (ISAC) are critical to enabling safe, intelligent, and resilient physical systems. In recent years, leaders in the AI and robotics community have increasingly framed the next frontier of artificial intelligence as Physical AI or Physical Intelligence: systems that do not merely process information, but perceive, reason, and act in the real world. As Nvidia CEO, Jensen Huang and others have emphasized, the transformative impact of AI will come not from disembodied models alone, but from intelligence embedded in physical [...]