Cohere Technologies AI Podcast

In July 2026, Cohere was awarded a DoW contract to build a mission-first ISAC sensing platform via integrating the Zak-OTFS wireless system, Multi-RAT Spectrum Sharing, and a novel Neural Receiver into the Linux Foundation’s OCUDU RAN stack.

The Universal Spectrum Multiplier and it’s ECHO dataset significantly increase the value of 5G assets by delivering 6G-grade capabilities, such as mission-first Integrated Sensing (ISAC) and AI-native optimization, on existing infrastructure now.

The researchers designed a Zak-OTFS based radar waveform that significantly improves target resolution in both delay and Doppler domains which minimize image blurriness and feature reduced signal processing complexity. Additionally, this discrete approach demonstrates a 100 dB reduction in sidelobes compared to traditional Zadoff-Chu sequences that are proposed for 5G.

Mathematically, 5G’s OFDM and 6G contenders like Zak-OTFS are actually specific versions of a single family called complex Hadamard-modulated pulse trains. This theoretical unification allows for a true Multi-G transceiver architecture capable of supporting multiple waveforms simultaneously. By multiplexing these different schemes, operators can better serve diverse user needs within a single 6G network.

This deep dive covers our collaboration with Bell, from the early integration of the Universal Spectrum Multiplier (USM) into a live OEM 5G base station to the groundbreaking Enhanced Channel Insight with Holographic Observability (ECHO) add-on. ECHO empowers millions of deployed 5G base stations globally to participate in AI-RAN without a forklift upgrade.

International standards, 6G practicalities, Integrated Sensing, and OTFS come together in this conversation.

This deep-dive exposes a transformational approach proposed by Dr. Rob Calderbank of Duke University to using OTFS’ Delay-Doppler capabilities to operate “model free” while sending traffic over wireless channels. This adaptive and self-optimizing notion has positive implications to future use of higher frequency and doubly spread channels proposed for 6G spectrum.

In this podcast OTFS is examined for its capabilities to implement both data transmission and sensing in same transmissions. Additionally, applications use cases for ISAC and simulation results will be discussed.

With 6G on the horizon and waveform innovation front and center, let’s discuss one of the candidates, Orthogonal Time Frequency Space (OTFS), and how it stacks up to the legacy Orthogonal Frequency Division Multiplexing (OFDM) used in 4G and 5G systems today.

This short conversational podcast introduces OTFS and its concepts. First developed in 2011 and studied globally by academic researchers in over 1200+ papers since, OTFS has unique properties that solve for some of the gaps that today’s OFDM waveform experiences.

Under financial pressure? Want to defer major capex while still making investments to expand spectral capacity? If you answered “yes”, this podcast is for you. The podcasters discuss a white paper by Appledore Research that breaks down the positive business and economic impacts of the Universal Spectrum Multiplier.

This in-depth podcast gets into the origins of the Universal Spectrum Multiplier, the Delay-Doppler channel model it’s based upon, breakthrough spectral efficiency enabled by bringing MU-MIMO into FDD spectrum and the integration of it into Open RAN and traditional base stations.

Deep-dive on a universal neural receiver designed for 6G and Multi-G wireless networks, which addresses the limitations of traditional model-based signal processing. An AI-native physical layer utilizes reservoir computing to perform real-time deconvolution, allowing the system to adapt at the sub-millisecond speed of wireless interference. The system avoids the need for extensive offline training that often fails across different geographic environments. This approach simplifies the receiver by focusing online learning only on unknown variables, making it compatible with various waveforms like CP-OFDM and Zak-OTFS.