1 день 6:29 Introducing Interwhen: Steering reasoning agents with real-time verification
What if AI agents could check their work as they go? This verification method extracts verifiable properties from natural language and evaluates them using symbolic or model-based verifiers.
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1 день 4:43 Introducing GitHub Agentic Workflows: AI that runs your repo
What if your repo could run itself? GitHub Agentic Workflows bring AI agents directly into repository automation, enabling tasks to run end-to-end inside GitHub Actions.
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1 день 13:34 MagenticLite: A full-stack agentic experience powered by Small Models
What if you could run a capable AI agent without leaning on frontier-scale models?
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1 день 19:32 Compiling the Full Diffusion Pipeline: 4x Faster Image Generation on MI355X
Speaker: Chris Lattner, Co-founder & CEO, Modular Talk Abstract: FLUX.2 is a 32-billion parameter diffusion model split across four stages: DiT backbone, VAE decoder, text encoder, and scheduler.
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1 день 23:37 KV Cache as the New AI Memory Abstraction
Speaker: Junchen Jiang, CEO & Co-Founder, Tensormesh; Faculty Lead, LMCache Lab Talk Abstract: Modern AI agents increasingly operate over long contexts—reading documents, executing multi-step
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1 день 23:03 Accelerating Business Outcomes with AMD Enterprise AI Suite
Speaker: Kevin Cochrane, CMO, Vultr Talk Abstract: In this talk, we explore how enterprises can move from experimentation to production applications. We look at how AMD's full-stack AI
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1 день 18:51 Adapting Language Models for Low-Resource GPU Kernel Programming
Speakers: Natalia Pahlavan & Laasya Konidala, Stanford University Talk Abstract: Large Language Models perform well on high-resource programming languages, but they struggle to generate
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1 день 14:27 Stop Throwing Tokens at Your Problems and Start Engineering
Speaker: Timothy Carambat, Founder & CEO, AnythingLLM Talk Abstract: This session explores how the next wave of AI innovation will be driven by thoughtful system design rather than sheer model scale.
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1 день 31:44 The Race for AGI – Open Source vs Closed Source
Speaker: Daniel Han, CEO, Unsloth Talk Abstract: Open models like DeepSeek, Gemma-4, Kimi, GLM, and Qwen (and more!) are great, but closed source models like Claude and ChatGPT still dominate in
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1 день 38:18 AMD Computing & Graphics: Building AI Without Boundaries
Speaker: Jack Huynh, SVP & GM, Computing and Graphics Group, AMD In this talk, Jack talks about how AI is reaching a global inflection point, and the challenge is no longer just scaling compute
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1 день 14:25 Building Production Inference for Trillion-Parameter Models on AMD Instinct MI355X
Speaker: Quentin Anthony, VP of AI Engineering, Zyphra Talk Abstract: Zyphra built its foundation model training stack on AMD and is now extending that expertise to inference.
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1 день 19:29 Best Practices for Agent Harness Based on MiniMax M2.7
Speaker: Ryan Lee, Lead Engineer, Developer Relationships, MiniMax Talk Abstract: This session explores how MiniMax M2.7 enables self-evolving AI systems through scalable agent harnesses and
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1 день 15:49 Building Next-Gen AI Infrastructure: Scaling Enterprise LLM Serving and Training with RadixArk
Speaker: Banghua Zhu, Co-Founder & CTO, RadixArk Talk Abstract: Deploying generative AI in production requires a robust, scalable, and highly optimized infrastructure.
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1 день 20:46 Building the Future of Agentic AI on AMD
Speaker: Vamsi Boppana, Senior Vice President, AI, AMD In this talk, Vamsi talks about how AI is evolving into autonomous, agent-based systems that can build, optimize, and operate software.
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1 день 21:05 Determinism and Scalability of the Miles RL Framework Across Hardware Platforms
Speakers: Liz Li, Principal AI Engineer, AMD Yusheng Su, Member of Technical Staff, RadixArk Talk Abstract: Building an RL framework requires careful consideration of both stability and
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1 день 10:25 Apple Glass - Meta's in Trouble
Apple Glass - Everything We Know about Apple's next visionOS product!
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1 день 3:13 The Weird Reason Rabies Is So Deadly
Rabies is the one of the deadliest diseases we know of; if you don’t get treatment soon after getting exposed, you’re almost certain to die.
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1 день 31:44 60 Trash Drives = 200 TB of Buddy Backups and Self-Hosting Adventures!
Who says you need the newest stuff to fulfill your self-hosting storage dreams? Not Wendell!!
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1 день 1:18 How Many Speakers Is Too Many?
Check out the LG Sound Suite AI here: bit.ly/LGSoundSuite_UnboxTherapy Thanks to @LGGlobal for partnering on this video #SurroundSoundSystem #LGSoundSuite #SoundSuite
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1 день 7:43 Your AI agent still has no memory? Fix it with these 3 patterns
Annie’s codelab → goo.gle/4wA3kpd Annie's code repo → goo.gle/3R39eyR If your AI agent feels "dumb" because it can't remember a conversation from two minutes ago, you’re dealing
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1 день 59:28 Microsoft Research Forum | Season 2, Episode 4
Microsoft Research Forum is a virtual series highlighting purposeful research and its real-world impact, from fundamental exploration to advancing AI responsibly, scaling innovation through products
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1 день 4:18 Android 17 Deep Dive: Bubbles, Gaming Upgrades, & Privacy Features
Missed the main broadcast of The Android Show?
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1 день 48:37 How Agentic AI is shaping the future of travel | AWS Humans In The Loop Podcast
Chris Shea sits down with Greg Land, Global Industry Leader for Hospitality at AWS, to discuss how Agentic AI is shaping and disrupting the travel industry.
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1 день 1:03:13 Android Developers Office Hours - Offline First Architecture
In this session, Googler Chris Assigbe and GDE Harun Wangereka will dive deep into strategies for building functional, reliable applications that survive unstable network connectivity and high data
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1 день 17:22 The Forgotten Origin of the Now-Iconic National Park Posters
Like many of us, Adam Savage has always been an enormous fan of @NationalParkService's graphic design, which harkens back to a time when horse-drawn buggies and automobiles explored U.S.
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1 день 1:59 iScooter W12 Electric Scooter Assembly Tutorial - Shop on Banggood
【Product Link】 ban.ggood.vip/1n4XQ 🔍Key Features - 52V 25Ah battery supports long-distance commuting; typical charging time is 7.5–8.5 hours.
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1 день 1:05 The Android Show | @Jesser on New Googlebooks
@jesser gets a ✨magical✨ first look at the newest category of laptops built with Gemini at the core.
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1 день 1:00 OPPO Find X9 Ultra vs iPhone 17 Pro Max vs Galaxy S26 Ultra vs Vivo X300 Ultra - Camera Comparison
OPPO Find X9 Ultra vs iPhone17 Pro Max Samsung Galaxy S26 Ultra vs Vivo X300 Ultra - Low Light Camera Comparison ►►►SUBSCRIBE for more: youtube.com/@SuperSaf Follow SuperSaf on
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