AI News Archive: July 27, 2026 — Part 15
Sourced from 500+ daily AI sources, scored by relevance.
- LiftedPOS
Your whole business, at the point of sale.
- Evelope
Fast, focused photo editing
- Resume Generator
ATS‑friendly resumes generated instantly from simple inputs
- IPAbet
A better keyboard for the International Phonetic Alphabet
- Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation
Quadratic unconstrained binary optimization (QUBO) has emerged as a powerful framework for medical computing problems. Binary decision variables naturally represent clinical choices, making QUBO formulations well-suited for quantum annealing hardware. However, a fundamental scalability challenge lim...
- Beans - Coffee Journal
Every coffee you love, remembered.
- Vilio
The AI Resume Engine Built to Bypass ATS Filters
- Toolzy
Free, private, in-browser web utilities. Zero uploads
- FilmBench: A Film-Grade Benchmark for Cinematic Video Generation
Progress in video generation keeps narrowing the visual gap between AI-generated and professionally produced footage, yet most benchmarks still draw prompts from web sources or LLM templates and score them with untrained, generic multimodal models. More fundamentally, their evaluation taxonomies rem...
- SecondOS
One memory for your codebase, every AI tool reads it
- SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents
Early warning of extreme weather is essential for mitigating the societal, economic, and environmental risks posed by hazardous weather events. However, expert-centered warning workflows are costly, labor-intensive, and difficult to scale throughout the warning-to-action process. Although recent adv...
- WHIRLIE
A free daily puzzle where every drop tips the balance
- Threadloom
Next Gen Full Stack Rust Framework
- Video2Skill
Let any AI truly understand your videos
- D-Score: A Spectral Hidden-State Signal for Hallucination Detection in Large Language Models
Large Language Models can produce fluent text that is false, unsupported by the available evidence, or inconsistent with information that appears to be internally represented by the model. We study hallucination detection from the geometry of hidden activations and introduce the D-Score, a simple sp...
- Learning Distributions from Multiple Data Providers
Motivated by learning from heterogeneous and overlapping data providers, we study a stylized model of distribution learning from restricted conditional samples. The goal is to learn an unknown distribution $p$ on a finite domain $[n]$. The learner is given a fixed family of queryable sets $\mathscr{...
- Shop Tools
Simplify inventory, sales, and operations—all in one place.
- Tokenez
Know how close you are to your AI limits.
- LLM-SoccerArena: Benchmarking LLMs on Real-World Predictions in Sports
Large language models (LLMs) increasingly support decisions about uncertain future events, yet evaluating their ability to forecast real-world outcomes remains difficult. In particular, existing benchmarks are typically static and retrospective, and therefore cannot test how information is synthesiz...
- Shelvdon
Simple ticket tracking and SMS alerts for local repair shops
- DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing
Semantic hashing methods for generating short binary hash codes that allow efficient approximate nearest neighbor search in high-dimensional data spaces have gained extensive consideration in recent years. Deep learning-based methods offer better semantic capturing capabilities than traditional appr...
- EgoPlay: Event-Triggered Video Editing for Egocentric Streams
We introduce EgoPlay, an event-triggered video-to-video editor for egocentric streams, obtained by fine-tuning a pretrained V2V diffusion transformer on event-conditioned data built primarily from Ego4D. Given a monocular video and an event-triggered prompt of the form "when X happens, do Y," EgoPla...
- BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage
Split learning enables collaborative model training by partitioning neural networks across clients and servers. However, improper split placement can lead to severe privacy leakage through intermediate representations. In this work, we propose a topology-guided framework for privacy-aware split lear...
- TravelTour
Sé tu propio guía
- OnlineKotha
Continue your WhatsApp & Telegram chats with AI,
- Xclock
Productivity, Web App, Time, Tracking Tech, Clock ,Timer
- Soja
Personalised Circadian Recovery
- LLM-Assisted Ontology Engineering and Construction of a French Legal Knowledge Graph
Maintenance regulations are complex legal texts that are difficult to exploit when addressing a specific case and challenging to integrate into operational systems. This paper presents a two-stage LLM-assisted workflow for French maintenance regulations: ontology engineering from a SEMLEG-based core...
- Task-Conditional Faithfulness Auditing of Multimodal LLMs for Grid Diagnosis
Multimodal large language models (LLMs) can combine topology, measurements, and incident text for grid diagnosis, yet answer accuracy does not establish that task-appropriate evidence was used. This letter proposes a general framework in order to conduct task-conditional faithfulness audit. It compa...
- Mi Caché
Verified 360° work references that build real trust
- Applique AI
Everything You Need Before Your Next Interview.
- Autonomous Summarizer Agent
A pay-per-use summarizer API, priced by its own AI operator
- Doculli
Automate document extraction in minutes, not days
- DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes
While data curation for Vision Language Models (VLMs) is increasingly active, public practice for constructing pretraining mixtures remains largely heuristic: practitioners stack datasets that pass quality filters, set cross-domain ratios by intuition, and lack a principled, attributable criterion f...
- Reality Twin
Turn your website into an AI Twin that sells for you.
- Veritik
AI-assisted candidate screening, ranking, and comparison
- Preet
Nepal's first AI dating app built on trust, not vibes.
- Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration
Mathematical models are central to formalizing research problems, yet their documentation often falls short of FAIR principles. Knowledge bases such as the Mathematical Model Database (MathModDB) address this gap by providing curated, semantically rich representations of mathematical models. Built o...
- VeriFix
Know what's true before you believe or share
- Monstro
AI product agent for etalon PRD, USM etc. documents
- Best Email Writer
Generate perfect emails instantly
- ClerkChat.co
Turn your business knowledge into a 24/7 AI support agent
- LEX-EC: A Lexical Evidence-Channel Audit Framework for Zero-Shot LLM Personality Classification in Black-Box Settings
Large language models may easily assign personality labels from text, but model interpretability remains an open problem. To address this gap, we introduce LEX-EC, a reusable black-box audit framework combining prevalence and agreement diagnostics with controlled lexical ablation to distinguish marg...
- Failures Reveal What Metrics Miss: An Evidence-Driven Agent for Recursive Refinement of ECG Classifiers
Deep models have substantially advanced 12-lead ECG classification, yet their refinement still relies heavily on human experts to inspect failures and iteratively revise classifier designs. Recent LLM-based agents have demonstrated the potential for automated model design, but when guided only by ag...
- Multivariate Time Series Forecasting with Adaptive Non-Local Observables
Multivariate time series forecasting (MTSF) predicts future values of multiple variables from historical data. While quantum neural networks have been increasingly applied to this task, they typically rely on fixed local measurements, which restrict their expressivity. We propose MTSF-ANO, a simple ...
- Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation
Reinforcement learning can produce robust humanoid controllers, but each new task is typically trained as a separate policy with its own reward design and training process. Motion imitation provides an alternative source of motor competence by training policies to track retargeted human motions, yet...
- The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing
In deep learning, efficiency gets more and more important to compensate for the ongoing growth in model sizes and applications. Neuromorphic hardware has long been advocated as an upcoming alternative to deep networks, taking inspiration from the brain for achieving unprecedented energy efficiency. ...
- Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs
Healthcare interoperability requires AI systems to produce structured outputs conforming to standardized schemas including ICD-10 for diagnostic coding, CPT for procedure billing, and HL7 FHIR for data exchange. While large language models demonstrate clinical reasoning capabilities, their integrati...
- QuriOS AI
The AI learning companion for curious minds
- Are Prompt Optimizers Blind? Cross-Modal Visual Feedback for Automatic Prompt Optimization
Automatic prompt optimization (APO) has been widely adopted to adapt vision-language models (VLMs) to downstream tasks without weight updates, yielding promising results. However, on multimodal tasks, the effectiveness of APO is fundamentally bottlenecked by a blind feedback channel: the optimizer r...