The Archive

Topoformer encodes graph topology into attention-friendly sequences via Topo-Scan, enabling scalable graph representation learning.

OPAL improves online 3D bin packing by integrating operational constraints into placement-aware learning instead of geometry-only representations.

Survey of uncertainty quantification methods in deep learning, covering ensemble and Bayesian approaches for safety-critical deployment.

EgoGenesis synthesizes egocentric manipulation videos using geometry-aware conditioning and projective memory to expand embodied AI training data.

Opinion piece positioning Agent-as-a-Service (AaaS) as emerging paradigm for encapsulating agentic AI capabilities in virtual environments.

Empirical evaluation of 6 leading LLMs on Islamic knowledge tasks reveals hallucination and authenticity gaps in religious contexts.

CDAE method improves BERT robustness to textual perturbations via contrastive denoising autoencoder training.

EMBL AI Librarian provides structured knowledge layer for AI agents querying 40M+ life-sciences records from Europe PMC.

The Disrupt Stage is where many of the biggest conversations in technology happen, with a legacy that stretches back for more than a decade.

Qwen-UI-Agent technical report describes cross-platform GUI agent for mobile, web, CLI, and long-horizon task automation.

Survey of security threats across world-model lifecycle in embodied AI: data, sensors, state grounding, and physical execution.

Benchmark of 6 deep learning weather emulators (Pangu, FuXi, GraphCast, Aurora) on extreme heat forecasting at 10-15 day lead times.

Inverted causal self-attention mechanism for discovering causal structures in high-dimensional multivariate time series.

Vibe-FDTR agent framework enables LLMs to automate reproducible thermal property analysis from natural language requests.

Compressed LLMs pass quality guards but hallucinate procedure steps in agentic execution, exposing fidelity-safety gap.

Privacy-preserving federated learning framework for clinical EEG using masking-based secure aggregation and threshold secret sharing.

LLM pipeline for automating MADRS depression assessment scoring in clinical trial structured interviews.

Black-box evaluation reveals commercial multimodal content moderation APIs vulnerable to simple image transformations.

Gaussian noise injection prevents oversmoothing in deep recurrent GNNs by preserving representation diversity.

ReAlloc framework uses causal inference for multi-channel marketing budget allocation in e-commerce platforms.

TPACK-guided empirical study examines multi-agent AI tool integration into software engineering requirements quality curriculum.

AgenticASR refines speech transcription via agent-based approach that revises text when context clarifies from later speech.

Unified algorithmic framework for optimal decision trees compares search strategies to improve scalability.

Candidate-aware decoding enables adaptive early-exit in diffusion language models by position-specific commitment decisions.

The Series A was led by Khosla Ventures, with participation from Allianz, Rebel Fund, Brick and Mortar Ventures’ Darren Bechtel, and Y Combinator’s Garry Tan.

RRM augments multimodal memory graphs with reflection mechanisms for long-horizon video reasoning agent adaptation.

OPLD uses on-policy latent distillation to train flexible latent visual reasoning without external trace supervision.

Ablation study on deep learning architectures for automated TCM tongue diagnosis achieves F1 0.66 on 5k-image dataset.

ParliamentBench evaluates deceptive reasoning in 16 LLMs via Secret Hitler game framework with 1,600 adversarial matches.

Philosophical critique argues LLM anthropomorphisms (hallucination, agency, sentience) reflect category mistakes in asymmetric human-machine language games.