What if you could generate 4-5 tokens at once without losing quality? Researchers from UC San Diego, SJTU, and Snowflake introduce "Jacobi Forcing." It smoothly converts standard autoregressive models into parallel decoders by training them on their own predicted token
SYSTEMS
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9 Essential AI Skills for 2026: From Prompting to System Design
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9 AI skills that will matter in 2026 Prompting • Agents • RAG • Automation • Tool stacking • Multimodal • Fine-tuning • Evaluation Using AI is table stakes.
Designing AI systems is the edge. Credit: @rathanuday #AI #GenAI #FutureOfWork #AIAgents -
Alpamayo: First Reasoning Autonomous Vehicle AI at CES2026
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Alpamayo: The first reasoning autonomous vehicle AI announced at #CES2026.
— Lucian Fogoros (@fogoros) 9 janvier 2026
It processes sensors to control driving, reasons about actions, and learns from human drivers for natural behavior. #AutonomousVehicles #PhysicalAI pic.twitter.com/gGbfiPuAmiAlpamayo: The first reasoning autonomous vehicle AI announced at #CES2026.
It processes sensors to control driving, reasons about actions, and learns from human drivers for natural behavior. #AutonomousVehicles #PhysicalAI -
Wafer Memory Optimization for LLM Inference Parallelization
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lots of wafers = lots of mem for kv cache
multiple users at a time overlapping the pipeline -
EU-Funded AI Systems: 5G Manufacturing Healthcare Space Innovation
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From cross-border 5G corridors to AI-enabled manufacturing to digital health & space resilience! These aren’t pilots.
They are EU-funded systems already operating.
Jan 19 is about showing how.
#EUProjects
Join us, either in person (please register https://
eu.eventscloud.com/ereg/inactive.
php?eventid=200294434
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Building AI Agents Requires Complete Infrastructure Beyond Core Development
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Absolutely! Beyond just building the agent, you also need to manage memory, state, observability, tracing, logging, streaming, and more. It’s essentially a full infrastructure you have to design and maintain to ensure the agent actually does something useful.
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Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR
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Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR https://
buff.ly/4tI6ozr #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Glasses Provide Real-Time On-the-Job Training
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AI Glasses teach in real time. While doing the job.
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Context Breakdown: The Hidden Challenge in AI System Reliability
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Most AI systems don’t fail because of bad prompts.
They fail because context breaks at scale. If you’re building AI agents, LLM workflows, copilots, or automation, this is the layer that quietly decides whether your system is reliable or unpredictable. We’re hosting a 5-hour, -
NVIDIA Tools Integrated Into Siemens AI Workflows at CES
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NVIDIA tools become part of @siemens workflows for physical and agentic AI applications. #CES2026 #sie_ces #DigitalTwins #FactoryAutomation
— Lucian Fogoros (@fogoros) 7 janvier 2026
Clip from CES 2026 – NVIDIA Live with CEO Jensen Huang : https://t.co/mFmQnSUK6D pic.twitter.com/xU1r5oR2CONVIDIA tools become part of @siemens workflows for physical and agentic AI applications. #CES2026 #sie_ces #DigitalTwins #FactoryAutomation Clip from CES 2026 – NVIDIA Live with CEO Jensen Huang : https://
buff.ly/lWWUjz5