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    MLSP 2026 keynote covers AI collaboration, world discovery and long-term memory

    The speaker says the Atlanta talk covered adversarial scenarios and potential applications in early medical diagnosis and classroom engagement.

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    TLDR

    A keynote speaker at the 36th IEEE International Workshop on Machine Learning for Signal Processing says their talk addressed trustworthy and safe AI collaboration, including adversarial scenarios, alongside world discovery and long-term memory planning. They cited early medical diagnosis and classroom education engagement as examples of real-world applications.

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    1 Source, first seen 2h ago

    Combined views

    682

    1 Source, first seen 2h ago

    26 likes
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    @mohitban47It was a pleasure to give a keynote at the 36th IEEE International Workshop on Machine Learning for Signal Processing (#MLSP2026), in Atlanta! ๐Ÿ™‚ In my talk, โ€œAI Challenges: Trustworthy Collaboration, Skill+World Discovery, and Long-Horizon Memory,โ€ I discussed important and timely AI challenges in trustworthy+safe collaboration (incl. some latest adversarial scenarios), world discovery, and long-term memory planning, across diverse domains & modalities & real-world applications (e.g., early medical diagnosis and classroom education engagement)! Thanks again to the conference organizers (Sergey Plis, Vince Calhoun, Ran Xiao, Sundaresh Ram, Carl Yang, Hyeokhyen Kwon, Ph.D., Bradley T. Baker, TReNDS Center) for the kind invitation and great organization (incl. the aquarium gala dinner with the whales+sharks, and the cool soundwave clip gift idea perfectly fitting a signal processing conference ๐Ÿ™‚), with a very engaging audience/attendees! ๐Ÿ™2h
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    @mohitban47It was a pleasure to give a keynote at the 36th IEEE International Workshop on Machine Learning for Signal Processing (#MLSP2026), in Atlanta! ๐Ÿ™‚ In my talk, โ€œAI Challenges: Trustworthy Collaboration, Skill+World Discovery, and Long-Horizon Memory,โ€ I discussed important and timely AI challenges in trustworthy+safe collaboration (incl. some latest adversarial scenarios), world discovery, and long-term memory planning, across diverse domains & modalities & real-world applications (e.g., early medical diagnosis and classroom education engagement)! Thanks again to the conference organizers (Sergey Plis, Vince Calhoun, Ran Xiao, Sundaresh Ram, Carl Yang, Hyeokhyen Kwon, Ph.D., Bradley T. Baker, TReNDS Center) for the kind invitation and great organization (incl. the aquarium gala dinner with the whales+sharks, and the cool soundwave clip gift idea perfectly fitting a signal processing conference ๐Ÿ™‚), with a very engaging audience/attendees! ๐Ÿ™2h