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Idiobionics: Researchers Warn of Hacking Risks in Smart Bionic Prostheses
Researchers have coined the term "idiobionics" to study privacy threats in smart AI prostheses: the same sensors that make them effective open a path to stealing…

TACO: A Method That Removes Credit "Contamination" in RL Training of Language Models
A new method, TACO, tackles a systemic problem in LLM RL training: low-probability "tail" tokens get the same credit as correct ones, gradually degrading the…

New MiniLM-based method better spots queries outside a chatbot's knowledge scope
Researchers propose multi-cluster boundary learning on MiniLM embeddings to detect out-of-scope queries in chatbots. It beat all baselines on three datasets.

LLMs prove theorems but don't discover mathematics: researchers outline the next step

New AI Tool Combines GTAP and APSIM to Assess Shocks in Agricultural Supply Chains

LSTM beats Random Forest and Naive Bayes at tweet sentiment analysis with 0.92 ROC-AUC

Context Graph: Researchers Teach Enterprise AI Agents to Work Without Being Asked

LiST: A New Method Delivers Accuracy, Robustness and Calibration in Neural Networks at Once
The LiST method automatically tunes the Lipschitz constant so a neural network stays accurate, robust to attacks and calibrated, with no manual tuning.

Hol-PCFG cuts parsing parameters by 99.94% and tops results in six languages
The new Hol-PCFG model swaps opaque neural networks for holographic embeddings and posts the best unsupervised parsing results across six languages.

Jet-Long extends language model context windows to 128K without fine-tuning

Eternis-Forecaster 8B: Activation Probes Beat Chains of Thought and Save Up to 47% of Tokens

AI for documents: Datalab Lift vs. the competition

Anthropic launches Reflect, a dashboard for analyzing how you use Claude

Station F opens new intake for F/ai, its AI accelerator for European startups
Paris startup campus Station F, founded by Xavier Niel, has announced a new intake for F/ai, a specialized accelerator for Europe's most promising AI companies.

Why the rise of open AI doesn't yet threaten Anthropic: a lifecycle analysis
TechCrunch explains the paradox: open models are breaking records, yet Anthropic keeps growing, because each player occupies a different phase of the same lifecycle.









