A multimodal and temporal foundation model for virtual patient representations at healthcare system scale
Apollo: multimodal temporal foundation model trained on 25B clinical records from 7.2M patients across 28 modalities and 12 specialties.
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Apollo: multimodal temporal foundation model trained on 25B clinical records from 7.2M patients across 28 modalities and 12 specialties.
Active sequential prediction-powered mean estimation: exploring mixing parameters for query-probability selection under model supervision.
LPSR: inference-time error correction via residual stream monitoring and KV-cache steering, no fine-tuning required.
System Dynamics benchmarks (CLD, Discussion Leaderboards): cloud LLMs 77–89% vs. best local 77% on causal diagram extraction.
Study investigates which internal LLM layers best model human cognitive effort in syntactic ambiguity processing, extending prior work on early-layer surprisal.
Reddit speculation about OpenAI model release timing with no substantive information or sources.
ConforNets method targets latent perturbations in AlphaFold3 to reliably generate alternate protein conformations beyond single dominant structure.
GSQ applies Gumbel-Softmax sampling to scalar quantization, achieving <4bpp accuracy without vector-quantization complexity for LLM deployment.
Technical clarification that TurboQuant's MSE variant is a constrained special case of prior EDEN/DRIVE quantization schemes.
Extends physics-informed neural networks (PINNs) to 2D+t reaction-diffusion systems with biological differential operator structure preservation.
FUSE method improves LLM output verification by ensembling imperfect verifiers without ground-truth labels via conditional-dependency control.
Theoretical framework for distributionally robust risk-sensitive signal estimation using Wasserstein balls and conditional value-at-risk.
ClawEnvKit generates diverse robotic manipulation environments from natural language via automated parsing, generation, and verification pipeline.
Duality-based characterization of subdifferentials for nonlocal total variation in adversarial binary classification training.
KL-regularized dialogue-act prediction incorporates corpus transition statistics, improving German counselling taxonomy classification across datasets.
Symbolic synthesis for LTLf+ obligation properties using deterministic weak automata; formal methods for temporal logic verification.
OGER framework integrates offline teacher guidance with online RL for LLM reasoning, improving exploration beyond initial latent space.
IDOBE: benchmark ecosystem for epidemic forecasting with curated epidemiological time series; evaluates statistical and ML ensemble methods.
SIREN detects harmful LLM outputs using internal layer representations and linear probing; lightweight guard model without model modification.
UDM-GRPO: first framework integrating Uniform Discrete Diffusion Models with GRPO RL; addresses training instability in discrete generative modeling.
AI tracks account for a small fraction of Deezer streams, and most are demonetized for fraud.
Mechanistic analysis of three jailbreak methods (SFT, RLVR, abliteration) on open-weight LLMs; reveals divergent behavioral and internal failure modes.
MASS-RAG: multi-agent synthesis for RAG with role-specialized agents for summarization, extraction, and reasoning over noisy/incomplete contexts.
ArXivDoc benchmark shows document-as-image embeddings underperform for scientific retrieval; proposes text/table/figure-structured multimodal approach.
AI tools are significantly accelerating software development and changing how developers work with code. These tools serve as real-time copilots, automating... AI tools are significantly accelerating software development and changing how developers work with code. These tools…
Following last year's AI-powered Darth Vader in Fortnite that swore in a re-creation of James Earl Jones' voice, Epic Games is now letting Fortnite creators experiment with a new "conversations" tool to create AI-powered characters that players can talk and interact with…
Deep Operator Networks learn Riccati solution operators for finite-horizon LQR; replaces repeated numerical solving with learned surrogate.
Claude Code used to reconstruct corrupted data across 5 HDDs and infer folder structures on NAS without manual human labor.
User claims Claude Design generated a single-shot OS design without AI artifacts; anecdotal praise with screenshot link.