Developer Tools
B
Showing 211–240 of 326
-
OpenAIやAnthropicなどAIベンダごとのAPIの違いを吸収し統合する「Agent Router」、Linux Foundation傘下で業界標準へEnvoy AI Gateway joins AAIF as 'Agent Router', a unified LLM and MCP gatewayThe Linux Foundation's Agentic AI Foundation announced at AGNTCon+MCPCon Japan 2026 that the open-source Envoy AI Gateway has joined AAIF and been renamed Agent Router. It exposes OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI and many other providers through one OpenAI-compatible API, and adds an MCP gateway, fallback and token quotas, metrics-based routing and observability. Already at v1.1 with 11 public adopters, AAIF aims to make it the de facto industry standard.
-
Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR
-
Look Before You Leap: Factual Decoding with Internal Attribution Signals
-
Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data
-
Villagers tie 5G technician to pole in protest over poor cellular coverage in IndiaIndian villagers tie 5G technician to tower over poor coverageVillagers in Hardauli, Uttar Pradesh tied a technician working for Reliance Jio to a cell tower on September 10, protesting two years without 5G service. Video of the incident spread online, prompting a police investigation; the Times of India reports five residents were taken into custody.
-
Are LLMs Good Financial User Simulators? A Preliminary Study
-
Solving Finite-sum Coupled Compositional Optimization via Multi-block-Single-probe Estimator
-
Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details
-
DayOne breaks ground on data center in Tokyo, JapanDayOne breaks ground on 42MW Kodaira data center, its second in TokyoAPAC operator DayOne broke ground on Phase I of its Kodaira Data Center in Tokyo, delivering 15MW initially and 42MW at full build. It follows an 80MW Fuchu campus being developed with Gaw Capital, whose 18MW first phase is due core-and-shell by mid-2027. DayOne was spun out of GDS in 2025.
-
Knowledge-Enriched Structured EHR Features for 30-Day Hospital Readmission Prediction on MIMIC-IV
-
New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance
-
Backward SDEs-based Diffusion for Physics-Constrained Generation
-
Sponsored: Data center growth is reshaping the insurability questionMarsh: data center growth is reshaping the insurability questionMarsh's Michael Mathews argues that the scale of data center development is changing how risk is understood and capacity structured. A $500 million project no longer stands out, city-scale builds are common, and a $10 billion 2020 facility could now cost $14-15 billion, with generation assets extending exposure beyond property losses.
-
EEG-Xplain: Decoding Neural Black-Boxes of EEG Foundation Models
-
RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents
-
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
-
Projection-Free Multi-level Algorithms for Stochastic Constrained Compositional Optimization
-
Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models
-
Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration
-
CIDERS: Cloud-Edge LLM Collaborative Learning via Accelerating Personalized Bilevel Optimization
-
CiteShade: Citation Laundering in Multi-Source Retrieval-Augmented Generation and Its Counterfactual Defense
-
Kaininja: Extending Native 3D Generators to the Part Level
-
Human-Grounded Calibration for Long-Text Image-Text Congruence in Vision-Language Models
-
Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer
-
FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning
-
Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Use
-
Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints
-
How OpenAI Used Its Own LLMs to Design Its Jalapeño ChipOpenAI used its own LLMs to design the Jalapeño chip, RTL to tapeout in 9 monthsIEEE Spectrum details how OpenAI designed Jalapeño, its first in-house AI accelerator unveiled Aug 25 (13.4 PFLOPS 4-bit, 232 GB memory, up to 3.6x lower latency than Nvidia's GB300). A team of under 100 paired internal LLMs with the XLS high-level synthesis flow, going from concept to first silicon in under 20 months and RTL to tapeout in nine. After first silicon, AI-written kernels rose from 0.31% to 88.94% of theoretical peak in about 40 hours; Broadcom handled physical design.
-
Can We Trust the Judges? Validation of Factuality Evaluation Methods via Answer Perturbation
-
Don't Count the Edits, Judge by the Outcome Alone: Reward-Based Evaluation for Grammatical Error Correction