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Currently, nearly all audio productions for movies and music are mastered to both traditional two channel stereo sound and newer multichannel formats. These include Dolby Atmos, MPEG-H/Sony-360 and Eclipsa audio. To listen to these sounds, until now many loudspeakers (e.g., 12 at an 7.1.4 arrangement) are necessary. There has been work on headphone reproduction for immersive audio, but all current software-based systems pale when compared to a loudspeaker-based solution.

Thirty billion microcontrollers ship annually, powering everything from industrial sensors to medical devices. Yet AI remains trapped in the cloud, inaccessible to the vast majority of embedded systems. We've broken this barrier.

As large language models (LLMs) continue to improve in accuracy and capability, they are increasingly deployed in user-facing conversational applications. Despite these advances, LLM-based systems remain susceptible to unpredictable behaviors, including hallucinations, unsafe outputs, and inconsistent or contextually inappropriate responses. In conversational multi-agent systems, such failures can propagate rapidly across interactions and agents, amplifying risk for both users and enterprises.

The rapid growth of artificial intelligence and machine learning (AI/ML) in commercial domains contrasts sharply with its slow adoption in defense applications. This talk addresses the core disparities between commercial and defense environments, aiming to identify the key barriers delaying AI/ML integration into national security systems. By bridging these two domains, the presentation establishes a clearer understanding of what technical and operational shifts are required for signal processing and AI researchers to effectively adapt advanced algorithms for defense-critical use cases.

The rapid adoption of artificial intelligence (AI) has transformed many research areas in signal processing, yet deploying AI reliably at scale across real industrial engineering lifecycles remains a significant challenge. Industrial environments impose constraints that go far beyond benchmark performance: data scarcity and imbalance, data quality, heterogeneity of data sources, non-stationarity, strict reliability and safety requirements, explainability, latency, and long operational lifetimes.

This talk explores "AI for Sensing," a paradigm shifting physical sensing systems away from handcrafted, application-specific data pipelines toward lightweight, sensor-centric artificial intelligence. Rather than relying on rigid downstream processing, the primary goal is to integrate advanced machine learning directly into every phase of the sensing workflow—from initial transducer acquisition and adaptive calibration to noise reduction and multi-modal feature representation.

In the past few years, Gaussian Splatting has become the most promising volumetric video representation. For real-world scenarios, a great deal of research effort has been directed toward better spatiotemporal multimodal scene reconstruction and more effective deployment. In this talk, we will first introduce the fundamental representation of Gaussian Splatting, including its attributes, construction, rendering, and optimization.

5G was expected to be the key driving force behind the shift of digitalization of all industries and a more intelligent, connected world in addition to the provision of much improved mobile broadband (MBB) internet user experience. However, ten years later it seems both industry digitalization transformation and MBB business are quite behind the schedule and expectation. For example, it is worth mentioning the whole MBB revenue of telecom industry in China has been declining since 2023.

This industry expert talk, presented by Christian Ibars Casas (NVIDIA Aerial project) at ICASSP 2026, investigates the integration of sensing capabilities into 6G cellular networks through Integrated Sensing and Communications (ISAC). The primary goal is to address the technical and architectural challenges of repurposing ubiquitous wireless infrastructure for joint radar-like sensing and data transmission, unlocking new revenue streams and societal benefits for network operators.

Because video playback and audio streaming are not available directly within this text environment, I cannot watch the video itself. However, based on the abstract and metadata provided on the page, here is a structured summary written from an electrical engineering perspective: