OM DENNE PODKAST 🔗
Digital Dialogs - Compact conversations on the future of tech is an innovative podcast that aims to explore the cutting-edge frontiers of technology, with a special focus on emotional intelligence and human-computer interaction.
Through a series of concise dialogues and expert insights from professionals, this podcast is a journey into how technology is not only advancing by leaps and bounds but also becoming increasingly sensitive and responsive to our emotions, thereby improving the quality of our daily interactions with machines.
Through a series of concise dialogues and expert insights from professionals, this podcast is a journey into how technology is not only advancing by leaps and bounds but also becoming increasingly sensitive and responsive to our emotions, thereby improving the quality of our daily interactions with machines.
Opdateringsfrekvens:
biweekly
Gjennomsnittlig lydlængde:
24 minutes
Gæsteinterviews
Engelsk
USA
51 episoder
siden 28. mars 2024
episodic
NYESTE EPISODE 🔗
In this episode, Ilario Gerlero joins Digital Dialogs to explore the rapidly expanding field of edge AI and on-device intelligence. The conversation covers what it means to run AI directly on hardware at the point of action, the engineering challenges of deploying capable models on constrained devi…
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SISTE EPISODER 🔗
In this episode, Brigitta Errera and Vincenzo Miccichè from Reply's Area42 lab join Digital Dialogs to share how they're tackling sim-to-real transfer for humanoid robotics — using Gaussian splatting to build high-fidelity simulated environments, training policies in sim, and deploying them on phys…
In this episode, Anna Rossebastiano and Alessio Magurno join Digital Dialogs to explore how teleoperation bridges human perception and remote robot action. The conversation covers how operators perceive and control distant environments in real time, the system architecture that makes responsive tel…
In this episode, Maxim Stoljar joins Digital Dialogs to explore how digital twins and NVIDIA Omniverse are transforming the way organizations simulate, test, and optimize complex real-world systems. Maxim and his team have been working hands-on with Omniverse — including presenting their work at NV…
In this episode, Perumal Kumaresa explores why synthetic data is becoming one of the most important enablers of Physical AI. As organizations try to build systems that can perceive, predict, and act in the real world, they run into a basic problem: the most valuable training data is often the harde…
In this episode, Michael Cruz joins Digital Dialogs to explore world models — AI systems that learn internal representations of how the physical world works. The conversation covers what world models are, why current generative AI falls short in understanding physical reality, the technical challen…
In this episode, Ana-Maria Lacatusu explores the concept of "Spatial Intelligence" and why it serves as the crucial missing link for autonomous operations. She breaks down complex concepts like scene graphs, explaining why it's not enough for autonomous robots or smart buildings to simply recognize…
In this episode, Dr. Dimitris Vlitas unveils "Decoding Antiquity," one of the most compelling examples of AI meeting the physical world. In collaboration with the Austrian Academy of Sciences and Mistral AI, his team has produced the world's first multimodal large language model for Ancient Greek, …
In this episode, Johannes Morzeck explores how Vision Foundation Models (VLMs) and specialized industrial models are fundamentally transforming computer vision from expensive custom R&D projects into scalable, ready-to-use business solutions. Johannes discusses the real breakthroughs compared t…
In this season opener, Rene introduces the concept of Physical AI—the next frontier where digital intelligence meets the real world. Moving beyond generative AI on screens, this episode explores how Spatial Intelligence allows machines to truly understand their environment, not just capture pixels.…
Ansvarsfraskrivelse: Podkasten og kunstværket, det finnes indlejret på denne siden, er fra Reply, som tilhører dens eier og ikke er tilknyttet eller godkjent av Listen Notes, Inc.
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