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This article explores ML-driven dynamic pricing for e-com/e-grocery, tackling the complexity of thousands of SKUs, promotions, and cashback. It proposes a three-engine architecture (Base Price, Promotion, Cashback) managed via an admin UI. The system automates pricing using inputs like demand, inventory, competitor data, and seasonality. Key metrics: Margin & GMV (primary), AOV & conversion (proxy), … Read more

How to evaluate product releases without an A/B test. A trustworthy framework using causal inference, Synthetic Control, and rigorous data guardrails.

AI-driven generative audio is transforming film sound design, from Foley stages to diffusion models, enhancing creativity and cinematic storytelling.

• Not all hard problems need ML—validate that adaptive learning actually solves your business problem before building. • Start with simple models (logistic regression, XGBoost) over cutting-edge architectures; prove concept viability first. • Data infrastructure matters as much as the model; invest in sourcing, labeling, and validation before training. • Build feedback loops and track … Read more

Green dashboards don’t mean healthy users. Most teams monitor infrastructure (CPU, memory, disk) instead of outcomes (checkout success, error rates, p99 latency). The fix: define 2–3 SLIs tied to what users actually do, set SLOs on them, alert on error budget burn rate — not infra blips. Audit your alerts, add synthetic monitoring on critical … Read more

I almost returned the $4,000 DGX Spark. Then NVIDIA dropped 30 playbooks, 2.5x performance gains, and hybrid routing.

Cloud cost and system reliability are the same problem viewed through different instruments. Cost anomalies surface bugs, retry storms, and memory leaks before they cause outages — if you’re watching. The fix: embed billing telemetry into your observability stack, enforce resource tagging at the pipeline level, write anomaly-based cost alerts, and treat budget overruns as … Read more

I recently came across an interesting challenge involving JSON decoding in Swift. Like many developers, when faced with a large, complex JSON response, my first instinct was to reach for “quick fix” tools. I wanted to see how our popular online resources — like Quicktype, various JSON-to-Swift converters, and even modern AI models — would handle … Read more

Alisa Viejo, CA, United States, February 25th, 2026/CyberNewswire/—One Identity, a trusted leader in identity security, today announced the appointment of Michael Henricks as Chief Financial and Operating Officer. This decision reflects the continued growth of the business and a focus on aligning financial leadership with operational objectives as One Identity scales.  “As One Identity accelerates … Read more

Harlow, Essex, United Kingdom — 25 February 2026 — Comdex Data Services Limited has announced the launch of Comdex TraceOS™, its proprietary blockchain intelligence platform designed to trace cryptocurrency fund flows, assess risk signals, support fraud prevention workflows, and accelerate recovery work for retail scam victims in the United States. The launch comes as US … Read more

Apia, Samoa, February 25, 2026 — Phemex, a user-first crypto exchange, unveiled the AI Bot, a milestone of the Phemex AI-Native Revolution, following its transition into an AI-native organization. This launch evolves artificial intelligence from a strategic vision into a high-performance “Intelligent Trading Partner,” shifting the industry paradigm from emotional manual execution to a disciplined … Read more

dbt, Airflow, Spark, and plain SQL walked into a bar. Only one of them didn’t cause an incident at 2 am. It started with a straightforward ask. Our analytics team needed a daily pipeline: pull raw event data from S3, clean it, join it against a customer dimension table, aggregate it into a revenue summary, … Read more

PANAMA CITY, February 25, 2026 – BingX, a leading cryptocurrency exchange and Web3-AI company, announced the full integration of BingX TradFi into the broader BingX ecosystem, marking a significant step in the convergence of traditional finance and crypto markets. This development reflects a broader industry trend projected for 2026: traditional finance is increasingly embracing cryptocurrencies, … Read more

Introduction At the early stage, most startups skip observability entirely — it’s too expensive or too complex for a tiny VPS. But flying blind slows down every product decision and turns every incident into a guessing game. Here’s how I fit a complete monitoring stack into just 1 GB of RAM. I’m a Go developer … Read more

How are you, hacker? 🪐 What’s happening in tech today, February 25, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, we present you with these top quality stories. From Optimise LLM usage costs with Semantic Cache to Researchers Develop a Real-Time 3D Mapping System That Helps Robots Understand … Read more

We’ve spent long enough on the internet to watch the web reinvent itself—twice before breakfast on some days. We’ve seen users chase SEO fads, social algorithms, video pivots, and now we’re staring down a world where machines can spit out a passable first draft before we’ve even finished our coffee. In a world where machines … Read more

A/B testing is a powerful but costly tool in product development. While it improves measurement accuracy, it slows execution. Teams should reserve experiments for high-risk, high-uncertainty decisions—like pricing changes or complex KPI shifts—and skip them when implementing best practices, fixing broken UX, or launching clearly requested features. In early-stage products, speed often matters more than … Read more

Table of Links Abstract Introduction Related work Problem statement [Methods]() Experiments Limitations [Conclusion]() EXPERIMENTS A. Physical Experiments We evaluate LEGS through a series of open-vocabulary object recall tasks. These tasks are designed to measure the system’s competency in capturing and organizing information based on both location and semantic meaning. We evaluate LEGS on four large-scale … Read more

Digital businesses are challenged by modern users more than ever. Their ability to remain competitive, retain their loyal customers, and attract new ones heavily depends on how fast they can release new features and respond to constantly shifting demands. In their strive to accomplish this goal, more and more companies try to bridge the gap … Read more

Table of Links Abstract Introduction Related work Problem statement [Methods]() Experiments Limitations [Conclusion]() PROBLEM STATEMENT We consider a large indoor environment, specifically defined as a room encompassing at least 750 sq ft. The objective is to 3D reconstruct the a-priori unknown and unstructured environment and localize objects prompted by open-vocabulary and long-tail natural-language queries. We … Read more

FREMONT, CA — The Fremont ACM Chapter hosted its technical talk event, Technology Trends Shaping Modern Industry, on Sunday, February 15, 2026, at the Fremont Downtown Event Center The event brought together leading engineers, architects, product strategists, and researchers from across Silicon Valley to explore how artificial intelligence, cloud-native systems, cybersecurity, identity frameworks, energy systems, … Read more

By Doug Needham, DataOps.live Technical debt is a challenge for any digital team. Suggestions to avoid it get overridden or ignored, and it’s a rare treat to get to fix the things we know need fixing. If only our PMs and data owners understood what we know—how terrifying technical debt really is—maybe they’d push back … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Microsoft’s AutoDev: The AI That Builds, Tests, and Fixes Code on Its Own By @microsoft [ 27 Min read ] Microsoft’s … Read more

The sharper the mind, the more elaborate the justification for staying wrong. Depth of thought becomes the mechanism of loss when it serves identity instead of truth. There is a version of intelligence that protects you in markets. It reads conditions, adjusts frameworks, and knows when to step aside. Then there is another version, far … Read more

Thinking of selling your subscription startup? Learn how buyers value companies, what metrics matter, and why deals succeed or fall apart.

I keep hearing the same question at every engineering offsite, Slack thread, and investor pitch: “What’s the best model right now — GPT, Claude, or Gemini?” I spent the last several months building and debugging agent-based systems, and I think this is the wrong question entirely. The evidence is now overwhelming: what determines whether an AI agent succeeds … Read more

Bigger context windows help, but not enough. Learn how Recursive Language Models improve long-context reasoning with better scaling and stable performance.

Table of Links Abstract Introduction Related work Problem statement [Methods]() Experiments Limitations [Conclusion]() RELATED WORK A. Mobile Robot Mapping Early robotic scene mapping research focused on the development of the core competencies in the metric [20], [21], [22] and topological [23], [24] knowledge spaces, extensively centered around the question of map and knowledge representation. For … Read more

Checking agent outputs isn’t enough. The real failures hide in trajectories: which tools got called, in what order, with what inputs. This article walks through a pattern for building evals when you don’t have production data yet. You define the dimensions your agent varies along, generate structured tuples across them, and turn those into natural-language … Read more

Viability in alignment leads to a need for diverse, independent grounding, which diverse human flourishing optimizes.