llms tested for technical market analysis
a study compares five large language models on tasks like candlestick recognition, trade signals, backtesting, and report comprehension.
author
baris
Baris operates SummarizedData and maintains its sources, publishing rules, and automation. Read the editorial process.
correcting noisy human labels in automated classifiers
a new method uses adjudicated cases to fix noisy human audit labels and debias analyses from automated classifiers.
stochastic mgda gets faster with regularity-aware updates
new method improves convergence in multi-objective learning by using regularity conditions to make conflict-avoidant directions lipschitz continuous.
interpretable medical classification with threshold-based naive bayes
a new framework uses chi-squared binarization and bernoulli naive bayes to create transparent, rule-based clinical classifiers with strong performance on benchmark medical datasets.
cura 1t: a healthcare llm trained through self-evolution
a healthcare model trained via a human-gated self-evolution loop that improves through targeted data refinement rather than generic updates.
ai mania is eviscerating global decision-making
nik suresh reports on how ai hype is distorting corporate strategy, with executives making uninformed decisions and engineers gaming the system to keep their jobs.
nvidia's jensen huang courts japan for physical ai push
nvidia ceo jensen huang secured deals across japan's tech ecosystem, from a national ai factory to robotics partnerships, aiming to lead the physical ai era.
weekly brief: 2026-07-13-2026-07-19
eu clarifies high-risk ai rules, a nonprofit builds open ai infrastructure, and a new graph-based rag framework improves retrieval accuracy.
daily brief: 2026-07-19
eu clarifies high-risk ai rules, a nonprofit builds open ai infrastructure, and a new graph-based rag framework improves retrieval accuracy.
eu ai act: your systems may already be high-risk
new eu guidelines clarify that an ai system's intended purpose, not just its technical function, can make it high-risk under article 6.
nonprofit current ai builds open web for ai
current ai, a nonprofit, is creating free public ai infrastructure to include underrepresented languages and cultures, challenging big tech's dominance.
vertu's $6,880 ai agent phone falls short for executives
a review of vertu's alphafold foldable finds its hermes ai agent ambitious but inconsistent, making the luxury price hard to justify against cheaper rivals.
sqlite query explainer runs in your browser
a new browser tool runs sql queries against sqlite and annotates the explain output with plain english descriptions of the query plan and bytecode.
hg-rag uses graph traversal for better structured knowledge retrieval
a new framework called hg-rag improves retrieval augmented generation by traversing hierarchical knowledge graphs instead of flat document stores, boosting accuracy on complex queries.
explainable ai predicts clutter height for satellite ground station siting
a machine learning framework uses open geospatial data to predict representative clutter height, improving site selection for low earth orbit ground stations.
kimi model release stirs ai race fears
moonshot ai's new open source kimi k3 model sparks debate on china's ai progress and u.s. competitiveness.
neil rimer sees ai wealth redistribution coming
index ventures co-founder neil rimer warns that the massive wealth from ai will face voluntary or forced redistribution, as philanthropy declines and wealth taxes loom.
quantum u-net for wildfire detection from satellite images
researchers test a quantum-enhanced u-net on sentinel-2 imagery for wildfire segmentation, achieving modest results with variational circuits.