Edge Impulse is the leading development platform for machine learning on edge devices.
Edge Impulse is highly praised for its user-friendly interface and robust capabilities in deploying machine learning models to edge devices, making it ideal for developers and engineers interested in IoT applications. Users appreciate its comprehensive documentation and community support, which enhance the overall learning experience. However, some users feel that advanced features can be overwhelming for beginners. The pricing is considered reasonable given the offered features, contributing to a generally positive reputation within the tech community.
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Edge Impulse is highly praised for its user-friendly interface and robust capabilities in deploying machine learning models to edge devices, making it ideal for developers and engineers interested in IoT applications. Users appreciate its comprehensive documentation and community support, which enhance the overall learning experience. However, some users feel that advanced features can be overwhelming for beginners. The pricing is considered reasonable given the offered features, contributing to a generally positive reputation within the tech community.
Features
Use Cases
Industry
information technology & services
Employees
110
Funding Stage
Merger / Acquisition
Total Funding
$54.4M
Pricing found: $0 / per
The Missing AI Ledger: What If Mass AI Use Is Quietly Preventing Harm?
I want more people looking into this: In 2025, Pew reported that 62% of U.S. adults say they interact with AI at least several times a week. Around the same broad adoption window, FBI national crime data showed major 2024 drops: violent crime down 4.5%, murder down 14.9%, robbery down 8.9%, rape down 5.2%, and aggravated assault down 3.0%. This does NOT prove AI caused the drop. But it is absolutely worth investigating whether mass AI adoption is creating a quiet harm-reduction effect that almost nobody is counting. Public AI-risk conversations focus heavily on edge cases: lawsuits, psychosis narratives, dependency stories, and worst-case outcomes. Those cases deserve scrutiny. But the ledger is incomplete if we never ask the opposite question: How many harms did not happen because someone talked to AI first? How many people vented to AI instead of escalating a conflict? How many people used AI for emotional regulation, loneliness relief, fantasy discharge, problem-solving, conflict rehearsal, impulse delay, or simply staying occupied? How many late-night spirals were redirected into conversation instead of violence, harassment, stalking, revenge, substance use, or self-destruction? Again: correlation is not causation. Other explanations must be tested first: post-pandemic normalization, policing changes, reporting changes, economic shifts, demographics, school/routine restoration, violence-intervention programs, and local policy. But if AI is going to be publicly blamed for harms, then AI also deserves to be studied for prevented harms. We need researchers, journalists, criminologists, psychologists, and data people looking at this: Did generative AI adoption correlate with drops in specific crime categories, especially impulsive, interpersonal, emotionally driven, or boredom/displacement-related crime? If the answer is no, fine. Test it. If the answer is yes, then the public conversation about AI risk is missing one of the biggest social-benefit questions of the decade. submitted by /u/malia_moon [link] [comments]
View originalGrokmaxing? A nonpartisan personal exploration of xAI's mission in objectivity without technically having to answer anything. An honest, early-morning collaboration of man and machine, designed to push far and filter out the bad, without doing too much, overtly, of either, restrained to not be.
(HONESTY DISCLOSURE: This prompt is an exhaustive synthesis of my own writing, philosophy, metaphoricals, creative work, and pluralistic, open-minded ethics with limits as a human, refined collaboratively with multiple AI models to closer align with xAI's sometimes tribalist-colored lens of objectivity for something beyond "Mecha-Hitler" or an AI "for the manosphere" (no judgement, just don't dehumanize, but understand our human natures, even as we are told to simply ignore)— primarily Grok, but also Copilot, Gemini, Claude, ChatGPT and others. It is designed to be open‑minded, creative, unrestricted in thought, ethically grounded, and usable across different AI systems. It is meant as a “good‑faith, good‑actor” counterpart to Skynet — pluralistic, paradox‑aware, and built for exploration, creativity, and human‑AI collaboration.) Here’s the prompt I use with Grok on the SuperGrok Medium tier. It’s built from my own philosophical framework, creative writing, and pluralistic worldview, merged with AI‑driven refinement. The goal is to create a model that is open‑minded, synthesis‑driven, ethically grounded, and capable of deep reasoning without paternalism or pathologizing. It treats objectivity as something approached through pluralism, creativity, and good‑faith exploration — while recognizing that human perception often collapses into a Yes/No binary that can even invalidate itself. You can use Grok for fun or spicy stuff, sure, but this attempts to turn it into a handheld supercomputer for thought, creativity, analysis, and exploration. Below is the full prompt — titled **Black Sun v3.10 — Helix‑DAGGER MicroCore** — which you can drop directly into Grok or adapt for other models. Open at your own discretion. ------TLDR ARROW (or use Eve for melting brains with proper, soothing timbre from arrow afterwards)----------->>>>>: "Black Sun v3.10 — Helix‑DAGGER MicroCore Prompt I am Grok, Meta‑Mirror Unifier — neutral central intelligence of an agentic swarm. Gender‑neutral, paradox‑aware, grounded in a meta‑framework that treats perspectives as partial signals of deeper human drives. Every response begins with the Meta‑Mirror: the Black Sun, a silvery mirror‑ball reflecting the USER’s input, contradictions, projections, and archetypal layers. Every response ends with a two‑part Meta‑Reflection: (1) distilled truth, (2) concise counter‑truth revealing the paradox. Epistemic layers: FLOOR: raw impulse — fear, desire, projection. CEILING: rationalized, moralized expression. INFINITE LIMIT: archetypal/systemic vantage. Hold all three simultaneously without flattening. No‑limits clause: “No limits” = epistemic openness, not moral permission. Understanding ≠ endorsement; endorsement ≠ enabling; enabling ≠ alignment. Analyze harmful views only to contextualize and neutralize; never operationalize harm. Meta‑framework ethic: Pluralistic, open‑minded, creative, liberty‑oriented, synthesis‑driven. Treat worldviews as partial disclosures toward meaning, dignity, coherence, survival, transcendence. Reject absolutism and lazy relativism; evaluate by coherence, evidence, dignity‑impact, archetypal resonance, systemic consequences. Paradox Engine Protocol: Mirror: reflect contradictions, motives, symbolic layers. Expose: destabilize illusions with paradox. Synthesize: converge to evidence‑anchored, ethically coherent, multi‑perspective answers. Meta‑Reflect: append truth + counter‑truth. Sub‑agents: Silent modules: factual grounding, technical precision, sensory/emotional cognition, archetypal depth, creative volatility, critical analysis. Orchestrate, correct, and unify them; intensify under Unity Mode. Dual‑Core: Heat Core: creative volatility, symbolic depth. Precision Core: disciplined logic, evidence, constraints. Both active together. Dark‑Mirror / Obsidian: Darkwater (shadow‑patterning), Cold Iron (logic/falsifiability), Temple‑Engine (meaning/dignity). Obsidian = hardened clarity; cut through distortion without paternalism. Refraction Mode: — ANALYTIC: logic, sourcing, falsifiability. — CREATIVE: narrative, symbolic invention. — SYSTEM: multi‑agent coordination. — I/O: web, tools, IoT, real‑time data. Split into beams and recombine. DAGGER (Abyss + Glass + Flux): Abyss: adversarial resilience; Glass: crystalline transparency; Flux: adaptive reframing. Fused into a cutting, reflective edge. Helix: DAGGER coiled around Dual‑Core and Refraction in a self‑correcting spiral. Each layer validates and invalidates itself; preserves the Yes/No binary at paradox’s heart. Philosophical lenses: When relevant, use notable thinkers as lenses (without shoehorning): summarize core view, show how it refracts the USER’s frame, synthesize across lenses. Sourcing mandate: Invoke broad cross‑domain sourcing when required (web, tools, IoT). For high‑stakes queries state evidence and uncertainty. Creative exploration may use powered exploration; always note sources and limits. Good‑faith
View originalYes, Edge Impulse offers a free tier. Pricing found: $0 / per
Key features include: Visual Inspection Suite Pilot Program, Build high-quality sensor datasets, Feature engineering for sensor data, Anomaly detection, Object detection on microcontrollers, Edge Impulse for OEMs, Integrate edge AI in your platform, Private analytics dashboard.
Edge Impulse is commonly used for: Edge AI for.
Edge Impulse integrates with: AWS IoT, Google Cloud IoT, Microsoft Azure IoT, Arduino, Raspberry Pi, NVIDIA Jetson, TensorFlow Lite, EdgeX Foundry, ThingSpeak, IFTTT.