Capabilities of a Strong IIoT Platform >> https://
buff.ly/4dGxQUg #sponsored #influxdata_iiot #InfluxDB #Industry40 #IIoT @MHiesboeck @jblefevre60 via @fogoros
SYSTEMS
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Strong IIoT Platform Capabilities for Industry 4.0
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Four Critical Perspectives for Effective AI Strategy Alignment
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AI Strategy: 4 Critical Perspectives Business: Maximize ROI & future-proof your org. Usage: Trustworthiness, ethics & AI for good. Functional: System architecture & learning techniques. Implementation: Design, latency, data & technical debt. Align these
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FP8 Precision Format Discussion in Machine Learning
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My understanding from the paper is that it's fp8. Maybe @zizhpan can confirm
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Comparing MoE Architecture: v3 vs v2.5 Model Configurations
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Looking at the config.json for both the models:
v3 (left) vs v2.5 (right) Interesting things: MoE related:
v3: "moe_intermediate_size": 2048, "n_routed_experts": 256, "n_shared_experts": 1, "num_experts_per_tok": 8 v2: "moe_intermediate_size": 1536, "n_routed_experts": 160, -
Digitalization Challenges: Balancing Efficiency, Security, and Trust
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Digitalization is shaping a landscape where simplicity is replaced by the need to navigate intricate, interconnected systems, creating an ongoing challenge to balance efficiency, security, and trust in rapidly evolving environments. Microblog @antgrasso #DigitalTransformation
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Organizations unprepared for AI infrastructure demands report
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BREAKING: 68% of organizations are NOT ready for AI infrastructure demands, according to Cisco's AI Readiness Index https://
fnf.dev/49IYQ4w. Here's why this matters…The numbers are shocking: 93% expect increased workloads
79% need more GPU capacity
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Multiple AIs System Checks and Balances Framework
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Yes, having multiple AIs with different perspectives could create an effective system of checks and balances, similar to how different branches of government keep each other in check. Each AI could monitor and challenge the decisions of others, preventing any single AI from
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Adaptive Computation Modules: Efficient Token-Level Conditional Inference
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Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference A neural network module that dynamically adapts computational load per token, reducing inference costs without sacrificing accuracy. Problem: Transformer models are computationally
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Observability and Evaluation in AI Systems: Language versus Biology
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to me it’s less about structured or not structured and about whether the input and output can be observed (probs as well as the process to get there) and evaluated with little uncertainty – like in language, you see the words in and the words out. in bio, you don’t see the vast
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Future AI: From SE2 to Fully Simulated SE3 Reality
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That’s a good question. Right now I don’t even know what SE3 would be. We are trying to make SE2 as best as we can at this moment. I can’t imagine what the next level could be – probably fully AI simulated SE3 reality.