Researchers at Southwest Jiaotong University developed a smart braking system using microcontrollers & adaptive control. Tested with @MATLAB & Simulink via HIL simulation, boosting dev speed by 80%! Learn more: https://
spr.ly/601405Rda
SYSTEMS
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Smart Braking System Using Microcontrollers and Adaptive Control
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AI Systems Improving Rapidly at Fraction of AAA Game Cost
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yeah, details. if you want to be picking, many tripple A games have many glitches. I do think we will see systems improve at a speed we can’t comprehend. and this would be 0.000000001% of the price of a tripple A title
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Distributed Systems Programming Development Stalled Progress
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Distributed Systems Programming Has Stalled https://
buff.ly/ScUF5Dg
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Reasoning
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Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning Chen et al.: https://
arxiv.org/abs/2503.05641 #ArtificialIntelligence #DeepLearning #MachineLearning -
Job Queue: Offloading Tasks to Background Workers
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3) Why use Job Queue? Frees the main server by offloading long tasks to background workers. Scales easily by adding or removing workers based on load. Reliability – jobs stay in Redis, allowing recovery from crashes or restarts.
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Scaling Workers for High Throughput Systems
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4) Scaling Workers for High Throughput As demand increases, scaling is easy: – Each worker processes jobs independently, so you can add more workers without modifying the main server. – Workers can run on separate machines, containers, or pods for horizontal scaling.
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Multi-Agent Systems and Google’s CO-Scientist: The Future of AI
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Multi-agent systems are the future, and Google’s CO-Scientist is an exciting early prototype. AI agents are evolving—chat-based, trigger-based, and autonomous. Now, imagine a high-level agent orchestrating a minion agent to get things done.
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Development Team Optimizes GeMM and MoE for FP8 Processing
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A member of the development team told us: "We've optimized a series of key operators, such as GeMM and MoE, at the instruction level to achieve native processing capabilities for FP8 data."
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Reasoning systems for idea clustering and proposition grouping
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Now, onto the cool part: after extracting propositions, we need a system that can reason about each one and decide whether it fits into an existing chunk or if it should start a new one. This grouping process mimics how we naturally group ideas when reading or taking notes.
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Does Self-Modeling in Prediction Systems Generate Consciousness?
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Is "consciousness" an inevitable byproduct of any sophisticated prediction system that includes not only a model of the outside world, but also a model of itself and the components of the world that are closely linked to itself? https://
x.com/realgeordieros
/realgeordierose/status/1898055165908853127
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