[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-1c8e84cea55d7b39-optimizing-gemma-4-for-edge-qat-checkpoints-and-mo-summary":3,"summaries-facets-categories":117,"summary-related-1c8e84cea55d7b39-optimizing-gemma-4-for-edge-qat-checkpoints-and-mo-summary":4592},{"id":4,"title":5,"ai":6,"body":13,"categories":75,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":80,"navigation":99,"path":100,"published_at":101,"question":77,"scraped_at":101,"seo":102,"sitemap":103,"source_id":104,"source_name":105,"source_type":106,"source_url":107,"stem":108,"tags":109,"thumbnail_url":77,"tldr":114,"tweet":77,"unknown_tags":115,"__hash__":116},"summaries\u002Fsummaries\u002F1c8e84cea55d7b39-optimizing-gemma-4-for-edge-qat-checkpoints-and-mo-summary.md","Optimizing Gemma 4 for Edge: QAT Checkpoints and Mobile Formats",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",9273,685,3303,0.00334575,{"type":14,"value":15,"toc":68},"minimark",[16,21,25,29,32,61,65],[17,18,20],"h2",{"id":19},"quantization-aware-training-qat-vs-post-training-quantization","Quantization-Aware Training (QAT) vs. Post-Training Quantization",[22,23,24],"p",{},"Google DeepMind has released QAT checkpoints for the Gemma 4 model family, designed to improve performance on edge devices and consumer GPUs. Unlike standard Post-Training Quantization (PTQ), which compresses a finished model and often results in quality degradation, QAT simulates quantization during the training process. This allows the model to learn how to compensate for precision loss, resulting in higher overall quality at the same memory footprint as PTQ.",[17,26,28],{"id":27},"the-mobile-optimized-schema","The Mobile-Optimized Schema",[22,30,31],{},"To facilitate deployment on mobile hardware, Google introduced a specialized mobile schema that achieves a footprint of approximately 1GB for the Gemma 4 E2B model. This is accomplished through four key engineering techniques:",[33,34,35,43,49,55],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Static Activations:"," Pre-calculating scaling factors during training to reduce computational overhead on-device.",[36,44,45,48],{},[39,46,47],{},"Channel-wise Quantization:"," Optimized for the architecture of mobile accelerators.",[36,50,51,54],{},[39,52,53],{},"Targeted 2-bit Compression:"," Applying aggressive 2-bit quantization specifically to token-generation layers while maintaining higher precision for core reasoning layers to preserve model capability.",[36,56,57,60],{},[39,58,59],{},"Memory Optimization:"," Shrinking the active memory footprint by optimizing embeddings and the KV cache. Developers can further reduce memory usage by dropping audio and vision encoders if the use case is text-only.",[17,62,64],{"id":63},"deployment-trade-offs","Deployment Trade-offs",[22,66,67],{},"While the Q4_0 QAT format remains the practical default for consumer GPUs and laptops (offering a 3.2GB footprint for E2B), the new mobile schema is purpose-built for phone-based inference. Both formats represent a significant improvement over the BF16 full-precision baseline, which requires 9.6GB for the E2B model. Developers should note that while these formats are optimized for different hardware targets, they represent a strategic balance between memory efficiency, decode speed, and quality preservation.",{"title":69,"searchDepth":70,"depth":70,"links":71},"",2,[72,73,74],{"id":19,"depth":70,"text":20},{"id":27,"depth":70,"text":28},{"id":63,"depth":70,"text":64},[76],"AI & LLMs",null,"md",false,{"content_references":81,"triage":94},[82,87,90],{"type":83,"title":84,"url":85,"context":86},"tool","Gemma 4 Q4_0 QAT Collection","https:\u002F\u002Fhuggingface.co\u002Fcollections\u002Fgoogle\u002Fgemma-4-qat-q4-0","recommended",{"type":83,"title":88,"url":89,"context":86},"Gemma 4 Mobile QAT Collection","https:\u002F\u002Fhuggingface.co\u002Fcollections\u002Fgoogle\u002Fgemma-4-qat-mobile",{"type":91,"title":92,"url":93,"context":86},"other","Google Blog: Quantization-Aware Training for Gemma 4","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fquantization-aware-training-gemma-4\u002F",{"relevance":95,"novelty":96,"quality":96,"actionability":96,"composite":97,"reasoning":98},5,4,4.35,"Category: AI & LLMs. The article provides in-depth insights into the new QAT checkpoints for the Gemma 4 model, addressing practical applications for deploying AI models on edge devices, which is a key concern for developers. It outlines specific engineering techniques that can be directly applied to optimize AI models for mobile, making it actionable for the target audience.",true,"\u002Fsummaries\u002F1c8e84cea55d7b39-optimizing-gemma-4-for-edge-qat-checkpoints-and-mo-summary","2026-06-06 16:11:49",{"title":5,"description":69},{"loc":100},"1c8e84cea55d7b39","MarkTechPost","article","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F05\u002Fgoogle-deepmind-releases-gemma-4-qat-checkpoints-q4_0-and-a-new-mobile-format-cut-on-device-memory\u002F","summaries\u002F1c8e84cea55d7b39-optimizing-gemma-4-for-edge-qat-checkpoints-and-mo-summary",[110,111,112,113],"llm","ai-tools","machine-learning","edge-computing","Google DeepMind's new Quantization-Aware Training (QAT) checkpoints for Gemma 4 enable high-quality local deployment, with a specialized mobile schema reducing memory usage to approximately 1GB for the E2B 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Translating Battery Signals into Descriptive Text",{"provider":7,"model":8,"input_tokens":4597,"output_tokens":4598,"processing_time_ms":4599,"cost_usd":4600},4065,499,2634,0.00176475,{"type":14,"value":4602,"toc":4637},[4603,4607,4610,4614,4617],[17,4604,4606],{"id":4605},"bridging-raw-data-and-llm-reasoning","Bridging Raw Data and LLM Reasoning",[22,4608,4609],{},"Traditional battery fault detection often relies on numerical analysis of time-series data, which can struggle with complex, non-linear fault patterns. The VBFDD-Agent (Vehicle Battery Fault Detection and Diagnosis Agent) introduces a novel approach by transforming raw battery digital signals—such as voltage, current, and temperature—into descriptive text representations. By converting these numerical streams into a human-readable, semantic format, the system allows Large Language Models (LLMs) to leverage their reasoning capabilities to identify, classify, and diagnose battery health issues that might be missed by purely statistical methods.",[17,4611,4613],{"id":4612},"the-descriptive-modeling-pipeline","The Descriptive Modeling Pipeline",[22,4615,4616],{},"Instead of feeding raw data directly into a model, the VBFDD-Agent acts as a translation layer. It interprets the temporal dynamics of battery signals and encodes them into a structured text format that captures the physical state of the battery. This descriptive modeling allows the agent to:",[33,4618,4619,4625,4631],{},[36,4620,4621,4624],{},[39,4622,4623],{},"Contextualize anomalies:"," By turning numerical spikes or drifts into descriptive events, the model can differentiate between normal operational noise and genuine fault signatures.",[36,4626,4627,4630],{},[39,4628,4629],{},"Improve Interpretability:"," Because the input is text-based, the diagnostic process becomes more transparent, allowing engineers to understand the 'why' behind an AI-generated fault alert.",[36,4632,4633,4636],{},[39,4634,4635],{},"Enhance Diagnostic Accuracy:"," By utilizing the pre-trained knowledge of LLMs, the agent can correlate specific signal patterns with known failure modes in electric vehicle battery management systems (BMS), leading to more robust detection of degradation and safety-critical faults.",{"title":69,"searchDepth":70,"depth":70,"links":4638},[4639,4640],{"id":4605,"depth":70,"text":4606},{"id":4612,"depth":70,"text":4613},[76],{"content_references":4643,"triage":4649},[4644],{"type":4645,"title":4646,"url":4647,"context":4648},"paper","VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.20742","cited",{"relevance":96,"novelty":96,"quality":96,"actionability":4650,"composite":4651,"reasoning":4652},3,3.8,"Category: AI & LLMs. The article discusses a novel framework that enhances battery diagnostics using LLMs, addressing a specific pain point in AI-powered product development related to fault detection. It presents new insights into how transforming raw data into descriptive text can improve interpretability and diagnostic accuracy, making it relevant and actionable for developers in the AI space.","\u002Fsummaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary","2026-05-22 07:00:21",{"title":4595,"description":69},{"loc":4653},"fbdfb0571adfd5a3","arXiv cs.AI","summaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary",[111,112,110],"The VBFDD-Agent framework improves electric vehicle battery diagnostics by converting raw digital sensor signals into descriptive text, enabling LLMs to perform more accurate fault detection and diagnosis.",[],"UNLKCujGhIE0oSEuDJl9Vyb72fGelOOYIcdDmntXdiM",{"id":4665,"title":4666,"ai":4667,"body":4673,"categories":4709,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":4710,"navigation":99,"path":4724,"published_at":4725,"question":77,"scraped_at":4726,"seo":4727,"sitemap":4728,"source_id":4729,"source_name":4730,"source_type":106,"source_url":4731,"stem":4732,"tags":4733,"thumbnail_url":77,"tldr":4734,"tweet":77,"unknown_tags":4735,"__hash__":4736},"summaries\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary.md","Sovereign AI Grounds Robotics in Physics for 1.1M States\u002FSec",{"provider":7,"model":4668,"input_tokens":4669,"output_tokens":4670,"processing_time_ms":4671,"cost_usd":4672},"x-ai\u002Fgrok-4.1-fast",4417,1733,23053,0.0017274,{"type":14,"value":4674,"toc":4703},[4675,4679,4682,4686,4689,4693,4696,4700],[17,4676,4678],{"id":4677},"build-sub-millisecond-robotics-control-with-jax-tpu-v6","Build Sub-Millisecond Robotics Control with JAX + TPU v6",[22,4680,4681],{},"To overcome reinforcement learning's brittleness in real-world chaos, Sovereign AI leverages JAX 0.9.0+ on Google's TPU v6 Trillium for extreme speed: over 1.1 million states per second at 0.894 ms latency. This ensures a 22-DoF humanoid robot processes decisions faster than its actuators move, preventing delays that cause falls. Implement by running the full notebook on GitHub (frank-morales2020\u002FMLxDL), which integrates hardware acceleration for latent space computations without simulation pitfalls.",[17,4683,4685],{"id":4684},"anchor-predictions-to-physics-laws-via-jepa-for-47x-failure-sensitivity","Anchor Predictions to Physics Laws via JEPA for 4.7x Failure Sensitivity",[22,4687,4688],{},"Joint Embedding Predictive Architecture (JEPA) operates in a physics-informed latent space, using a Physics Anchor to monitor energy patterns. Detect anomalies by thresholding: energy loss of 8.5467 signals motor seizure (failure), while expansion of 4.8101 indicates intentional momentum for maneuvers like sideways slides. This delivers 4.7x greater sensitivity over traditional methods, grounding neural predictions in conservation laws so AI distinguishes planned actions from disasters in real time.",[17,4690,4692],{"id":4691},"gain-auditability-and-recovery-with-gemini-31-pro-oversight","Gain Auditability and Recovery with Gemini 3.1 Pro Oversight",[22,4694,4695],{},"Feed JEPA's abstract metrics into Gemini 3.1 Pro's Deep Thinking mode as the executive controller. It translates spikes into human-readable reports, diagnosing joint failures or sensor glitches, then outputs recovery plans. This Sovereign Return on Investment (SROI) enables full energy expenditure audits, making decisions transparent and recoverable rather than black-box guesses.",[17,4697,4699],{"id":4698},"slash-bandwidth-797-for-6g-scale-autonomy-with-semantic-compression","Slash Bandwidth 79.7% for 6G-Scale Autonomy with Semantic Compression",[22,4701,4702],{},"Compress data to transmit only semantic meaning, not raw sensors, yielding 79.7% bandwidth savings. For 6G networks, this sustains high-fidelity autonomy in bandwidth-constrained environments, ensuring reliable physical-world deployment without overwhelming infrastructure.",{"title":69,"searchDepth":70,"depth":70,"links":4704},[4705,4706,4707,4708],{"id":4677,"depth":70,"text":4678},{"id":4684,"depth":70,"text":4685},{"id":4691,"depth":70,"text":4692},{"id":4698,"depth":70,"text":4699},[76],{"content_references":4711,"triage":4722},[4712,4716,4718,4720],{"type":83,"title":4713,"url":4714,"context":4715},"MLxDL (GEMINI_TPU.ipynb)","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002FGEMINI_TPU.ipynb","mentioned",{"type":83,"title":4717,"context":4715},"JAX 0.9.0+",{"type":83,"title":4719,"context":4715},"TPU v6 Trillium",{"type":83,"title":4721,"context":4715},"Gemini 3.1 Pro",{"relevance":95,"novelty":96,"quality":96,"actionability":96,"composite":97,"reasoning":4723},"Category: AI & LLMs. The article provides in-depth insights into using AI for robotics control, addressing practical applications like real-time decision-making and failure detection, which are crucial for product builders. It includes specific frameworks and tools like JAX and JEPA, making it actionable for developers looking to implement these techniques.","\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary","2026-05-08 15:34:13","2026-05-09 15:36:56",{"title":4666,"description":69},{"loc":4724},"9c05119c3bd0f686","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fsovereign-ai-bridging-the-gap-between-neural-logic-and-physical-reality-27847c54ddbc?source=rss----f37ab7d4e76b---4","summaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary",[110,112,111],"Sovereign AI uses JEPA with physics anchors on JAX\u002FTPU v6 to process 1.1M states\u002Fsec at 0.894ms latency, detecting failures 4.7x better via energy patterns, with Gemini 3.1 Pro generating auditable reports and recovery plans.",[],"FBJXC9s7F-xx1REpoRhgpwoNBPw2DvrcNpX9JHVB-es",{"id":4738,"title":4739,"ai":4740,"body":4745,"categories":4774,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":4775,"navigation":99,"path":4785,"published_at":4786,"question":77,"scraped_at":4787,"seo":4788,"sitemap":4789,"source_id":4790,"source_name":105,"source_type":106,"source_url":4791,"stem":4792,"tags":4793,"thumbnail_url":77,"tldr":4794,"tweet":77,"unknown_tags":4795,"__hash__":4796},"summaries\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary.md","Gemma 4 MTP Drafters: 3x Faster Inference, No Quality Loss",{"provider":7,"model":4668,"input_tokens":4741,"output_tokens":4742,"processing_time_ms":4743,"cost_usd":4744},7596,1980,21477,0.00248655,{"type":14,"value":4746,"toc":4770},[4747,4751,4754,4757,4761,4764,4767],[17,4748,4750],{"id":4749},"speculative-decoding-overcomes-autoregressive-latency","Speculative Decoding Overcomes Autoregressive Latency",[22,4752,4753],{},"Standard LLM inference generates one token at a time autoregressively, creating a memory-bandwidth bottleneck: billions of parameters load from VRAM per token, leaving GPUs underutilized as data transfer dominates. Even predictable tokens (e.g., 'words' after 'Actions speak louder than...') require full computation, equal to complex reasoning steps.",[22,4755,4756],{},"Speculative decoding fixes this by pairing a small, fast drafter model with the large target (Gemma 4). The drafter proposes a sequence of tokens quickly—faster than the target processes one. The target verifies the entire draft in one parallel forward pass. Matches accept the full sequence plus one extra target-generated token, all in the time of a single standard pass. Verification ensures identical outputs to vanilla autoregressive generation, delivering lossless speedup. Gemma 4 drafters hit up to 3x overall inference speed post-60M downloads.",[17,4758,4760],{"id":4759},"mtp-architecture-shares-resources-for-edge-and-scale","MTP Architecture Shares Resources for Edge and Scale",[22,4762,4763],{},"Gemma 4's Multi-Token Prediction (MTP) drafters enhance speculative decoding by sharing the target's KV cache—storing prior attention computations—avoiding redundant context recompute. This cuts drafter overhead sharply.",[22,4765,4766],{},"For edge variants (E2B, E4B) on mobile, embedder-layer clustering accelerates logit computation (internal reps to vocab probabilities), targeting hardware-limited final steps. On Gemma 4 26B MoE, Apple Silicon sees ~2.2x speedup at batch size 4-8 (vs. batch 1 routing issues); NVIDIA A100 shows batch-dependent gains too.",[22,4768,4769],{},"Implement via Hugging Face Gemma 4 collections; speeds production apps without quality or accuracy trade-offs.",{"title":69,"searchDepth":70,"depth":70,"links":4771},[4772,4773],{"id":4749,"depth":70,"text":4750},{"id":4759,"depth":70,"text":4760},[76],{"content_references":4776,"triage":4783},[4777,4780],{"type":83,"title":4778,"url":4779,"context":4715},"Gemma 4 Model Weights","https:\u002F\u002Fhuggingface.co\u002Fcollections\u002Fgoogle\u002Fgemma-4",{"type":91,"title":4781,"url":4782,"context":86},"Multi-Token Prediction for Gemma 4","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fmulti-token-prediction-gemma-4\u002F?linkId=61725841",{"relevance":96,"novelty":4650,"quality":96,"actionability":96,"composite":4651,"reasoning":4784},"Category: AI & LLMs. The article discusses the new Multi-Token Prediction (MTP) drafters for Gemma 4, which addresses a specific pain point of inference speed in AI models, making it relevant for developers looking to implement faster AI features. It provides actionable insights on how to implement this technology via Hugging Face, which adds to its practical value.","\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary","2026-05-06 08:23:04","2026-05-06 16:14:12",{"title":4739,"description":69},{"loc":4785},"4e271633d433ef16","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F06\u002Fgoogle-ai-releases-multi-token-prediction-mtp-drafters-for-gemma-4-delivering-up-to-3x-faster-inference-without-quality-loss\u002F","summaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary",[110,112,111],"Pair Gemma 4 with lightweight MTP drafters using speculative decoding to generate up to 3x more tokens per pass by drafting sequences and verifying in parallel, sharing KV cache for efficiency without altering outputs.",[],"9zKQbGealE55IZRdNqkOAfuDfHteluCgF1trH9nWXc4",{"id":4798,"title":4799,"ai":4800,"body":4805,"categories":4833,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":4834,"navigation":99,"path":4842,"published_at":4843,"question":77,"scraped_at":4844,"seo":4845,"sitemap":4846,"source_id":4847,"source_name":4730,"source_type":106,"source_url":4848,"stem":4849,"tags":4850,"thumbnail_url":77,"tldr":4851,"tweet":77,"unknown_tags":4852,"__hash__":4853},"summaries\u002Fsummaries\u002F08b25789acb70cdd-h2e-deterministic-safety-via-riemannian-multimodal-summary.md","H2E: Deterministic Safety via Riemannian Multimodal Fusion",{"provider":7,"model":4668,"input_tokens":4801,"output_tokens":4802,"processing_time_ms":4803,"cost_usd":4804},4354,1385,20289,0.0015408,{"type":14,"value":4806,"toc":4828},[4807,4811,4814,4818,4821,4825],[17,4808,4810],{"id":4809},"compressed-models-enable-edge-multimodal-processing","Compressed Models Enable Edge Multimodal Processing",[22,4812,4813],{},"Achieve expert-level reliability on restricted hardware using three quantized models: Sarvam-30b for text (FP8 quantization, METEOR score 0.9964), Voxtral-Mini-4B for audio-to-text (3% word error rate in real-time), and Gemma 4 E4B for vision (2.63 GB RAM). These process sensory inputs—text, audio, vision—into a unified representation, avoiding black-box unpredictability by prioritizing efficiency without sacrificing performance. This setup allows deployment on edge devices while handling complex multimodal data.",[17,4815,4817],{"id":4816},"riemannian-geometry-enforces-hard-safety-bounds","Riemannian Geometry Enforces Hard Safety Bounds",[22,4819,4820],{},"Project all modalities onto a Riemannian product manifold M = H² × SPD(3) to compute geodesic distance d_M between AI intent and a safe submanifold. The SROI Gate acts as a circuit breaker: if exp(-d_M) ≥ 0.9583, the intent proceeds to the cognitive layer; otherwise, it's rejected outright. This geometric governance creates a deterministic \"Riemannian Hard Stop,\" ensuring only safe intents generate responses, eliminating stochastic hallucinations through eager execution and fixed seeds for reproducible outcomes.",[17,4822,4824],{"id":4823},"audit-trails-and-energy-tracking-for-sustainable-governance","Audit Trails and Energy Tracking for Sustainable Governance",[22,4826,4827],{},"Assign a Deterministic Audit Hash to every interaction, providing a traceable record of manifold-based reasoning for full transparency. Integrate carbon intensity monitoring to track energy use, setting a benchmark for eco-friendly AI. Fixed seeds guarantee identical inputs yield identical safe outputs, making the system suitable for safety-critical applications while remaining accessible on edge hardware.",{"title":69,"searchDepth":70,"depth":70,"links":4829},[4830,4831,4832],{"id":4809,"depth":70,"text":4810},{"id":4816,"depth":70,"text":4817},{"id":4823,"depth":70,"text":4824},[76],{"content_references":4835,"triage":4839},[4836],{"type":91,"title":4837,"url":4838,"context":4715},"H2E_DEMO_UNESCO.ipynb","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002FH2E_DEMO_UNESCO.ipynb",{"relevance":4650,"novelty":4650,"quality":96,"actionability":70,"composite":4840,"reasoning":4841},3.05,"Category: AI & LLMs. The article discusses a framework for ensuring deterministic safety in AI systems, which is relevant to AI engineering. However, it lacks practical applications or detailed guidance that the target audience could directly implement.","\u002Fsummaries\u002F08b25789acb70cdd-h2e-deterministic-safety-via-riemannian-multimodal-summary","2026-05-02 04:30:14","2026-05-03 17:01:06",{"title":4799,"description":69},{"loc":4842},"08b25789acb70cdd","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fsovereign-ai-governance-establishing-a-deterministic-multimodal-safety-layer-via-the-h2e-framework-d016fc25dca0?source=rss----f37ab7d4e76b---4","summaries\u002F08b25789acb70cdd-h2e-deterministic-safety-via-riemannian-multimodal-summary",[110,112,111],"H2E framework fuses text\u002Faudio\u002Fvision inputs from compressed models into a Riemannian manifold, enforcing safety with SROI Gate that rejects intents where exp(-d_M) \u003C 0.9583, guaranteeing deterministic, auditable AI behavior on edge hardware.",[],"xtGHBY8kC11tmMBYGJx46JXKZ3NCDBwHbNFoq_jx9RA"]