We’re excited to announce that @satyanadella
, Chairman and CEO of @Microsoft
, will be joining the #DataAISummit keynote virtually for a special pre-recorded conversation with Databricks CEO @alighodsi on the future of AI, turning innovation into real-world results, and what's
RESEARCH
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Satya Nadella Keynote on AI Future at Data Summit
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EU AI Continent Action Plan marks first year milestone
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Commission marks one year of the AI Continent Action Plan with two new reports on AI adoption and policymaking | Shaping Europe’s digital future https://
digital-strategy.ec.europa.eu/en/news/commis
sion-marks-one-year-ai-continent-action-plan-two-new-reports-ai-adoption-and-policymaking
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#digitaleu #ai #innovation #technology @DigitalEU @elaniazito @ArturHabant @AkwyZ @enilev @AnthonyRochand -
Mythos Performance Comparison with Opus Models
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So looks like Mythos is better, but not an alien model – jump between Opus 4.5 and Opus 4.6 was similar to a jump from Opus 4.6 to Mythos Preview
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AI and Biology: Revolutionizing Health and Medicine
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#ArtificialIntelligence and biology: #AI’s potential for launching a novel era for health and medicine
by James Colter @ConversationUS Learn more: https://
bit.ly/4cAzPLO #MedTech #HealthTech #Tech #TechForGood -
World Models: The Next Giant Leap for AI Systems
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The Next Giant Leap for AI Is Called World Models World models could enable AI to better understand and predict reality — marking a major step forward in intelligent systems. Read more https://
bernardmarr.com/the-next-giant
-leap-for-ai-is-called-world-models/
… #AI #Innovation #FutureTech #BernardMarr -
DRCT: Diffusion-Based Image Restoration for High-Quality Visuals
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DRCT: Rethinking Image Restoration With Diffusion-Based Reconstruction
— Satya Mallick (@LearnOpenCV) 13 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore DRCT, a diffusion-based approach to image restoration that focuses on reconstructing high-quality visuals from degraded inputs.… pic.twitter.com/CCxCklQCPrDRCT: Rethinking Image Restoration With Diffusion-Based Reconstruction In this episode of Artificial Intelligence: Papers and Concepts, we explore DRCT, a diffusion-based approach to image restoration that focuses on reconstructing high-quality visuals from degraded inputs. Instead of relying on traditional enhancement techniques, DRCT leverages generative diffusion models to recover fine details, textures, and structures that are often lost in noisy or low-resolution images. We break down why image restoration has been a challenging problem for conventional methods, how diffusion models enable more realistic and consistent reconstructions, and what this means for applications like photography, medical imaging, and video enhancement. If you’re interested in generative AI, computer vision, or the future of high-fidelity image recovery, this episode explains why DRCT represents a significant step forward in restoring visual quality with AI. Resources: Paper Link: arxiv.org/pdf/2404.00722 Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or visit us at bigvision.ai
→ View original post on X — @learnopencv, 2026-04-13 13:39 UTC
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Free-energy control in protocol-mediated intelligence markets
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"Free-energy control in protocol-mediated intelligence markets" A multiscale statistical-mechanical formalization of AGIJobManager Vincent Boucher, President, http://
Montreal.AI and http://
Quebec.AI : https://
github.com/MontrealAI/AGI
JobManagerPrime/blob/main/docs/Protocol_mediated_intelligence_markets_Elite_final.pdf
… #AGIJobs -
AI Leaders Dismiss Existential Risk While Doomers Dominate Attention
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Most "leading AI figures" think this p(doom) estimates are complete bullshit and the existential risk is essentially zero. But most of them are silent. The doomers attract a disproportionate amount of attention, of course.
→ View original post on X — @learnopencv, 2026-04-13 12:52 UTC
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Neuromorphic Hardware and Neurosymbolic Systems as AGI Pathways
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If such living, self‑organizing nervous systems are integrated with neuromorphic spiking hardware and neurosymbolic cognitive architectures, they form a plausible long‑term pathway toward AGI. Neuromorphic platforms (Loihi, TrueNorth, SpiNNaker, BrainScaleS, etc.) aim for