Developer Tools
B
Showing 331–360 of 422
-
HGPRGDel: GPR-Aware Learning and Ranking for Growth-Coupled Gene Deletion Design
-
QD-PINN:A Physics-Informed Neural Network Approach to Bayesian Quickest Detection in High-Dimensional Diffusions
-
PerceptRL: Making Visual Perception Rewardable in MLLMs from Answers to Interactions
-
Autonomous fixed-wing interception using reinforcement learning
-
What Carries Forward? Pretraining Disclosure Across Language Model Releases
-
Concordat: Typed Sessions for LLM Agents
-
M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents
-
ETAMem: Decoupling and Aligning Heterogeneous Memory for Long-Term Conversational Agents
-
Multi-Agent Reinforcement Learning of Co-Adaptive Hip Exoskeleton Control (MARL-Exo) for Metabolic Energy Reduction
-
Representing the Unseen: Rethinking Visual Imagination for Spatial Reasoning
-
FeatureArc: Benchmarking Coding Agents on Evolving Features
-
Nidec anounces 3.2MW in-row CDUNidec announces 3.2MW in-row CDUNidec announced a 3.2MW in-row coolant distribution unit (CDU). The new unit is set to enter mass production next year.
-
Beyond the Readout: A Latent Numerical Frame Shared Across Modality and Operation
-
Displacement Moments and Path-Terminal Separation in Brownian Interpolant Sampling
-
Constraining the Commit Boundary: A DIO/ODI-Informed Authorization Guardrail for Agentic Entity Resolution
-
Clearing the FoG: Training KG Agents to Retrieve the Evidence Behind Their Answers
-
An end-to-end framework for uncertainty-aware validation of generative models
-
Game-Theoretic Solvers with Bayesian Opponent Modeling and Moral Rhetoric Framing for GLEE
-
Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data
-
Euclidean Crowding-Driven Adaptive Euclidean-Hyperbolic Graph Learning
-
The Geometry of Manifold Learning: Singular foliations via Deep Learning models
-
Retell uses OpenAI models to help power 100M monthly callsRetell uses OpenAI models to help power 100M monthly callsOpenAI says GPT-6 Astra tops Retell's voice agent benchmark, and that Codex helps Retell reach a $1.6M annual revenue run rate per employee. The title says OpenAI models help power 100M monthly calls.
-
3 Ways to Boost MoE Inference on NVIDIA DGX SparkNVIDIA outlines three ways to speed up MoE inference on DGX SparkAn NVIDIA developer blog post describes three ways to boost mixture-of-experts (MoE) inference on DGX Spark. It argues that faster token generation starts with identifying what limits inference performance, using a batch-size-1 evaluation of Inclusion AI's Ling-3.0-flash as its example.
-
Aligning Institutional Power and Operational Ability
-
Normative Deviation Modeling for EEG-based Depression Detection
-
CoS-VQ: Coordinated Shared-Scale Vector Quantization for Large Language Models
-
WCC: A Learning-Based Framework for Deciding When to Apply Cooperative Coevolution in Large-Scale Optimization
-
UCVE: Graph Structured Retrieval for Compliance Validation
-
ReForest: Interpretability Meets Reasoning in Isolation Forest
-
Multi-Label Agreement: A Flexible Framework for Inter-Annotator Reliability