Funding & M&A

C
Showing 61–89 of 89
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance
    Deep Learning Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Funding & M&A
    Digital Realty enters Turkey, plans 22MW facility in Ankara
    Digital Realty enters Türkiye with Rönesans JV, 22MW Ankara campus
    Digital Realty is forming a joint venture with Rönesans Infrastructure to develop data centers in Türkiye. The first project is a 22MW campus in Ankara, where land, power, and permits are secured and early construction has begun, with completion slated for 2028. An Istanbul site is also planned.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
    Machine Learning Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    Human-Grounded Calibration for Long-Text Image-Text Congruence in Vision-Language Models
    Computer Vision Embeddings Machine Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Thor Equities submits plans for 150MW data center in Georgia, US
    Thor Equities files plans for $1B, 150MW data center in Georgia
    Thor Equities submitted plans for a 150MW data center in Kingston, Bartow County, Georgia. The Kingston Technology Hub is estimated at $1 billion, targets completion in 2030, and would span 350,000 sq ft, generating about $2 million a year in local tax revenue and around 50 full-time jobs.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    How Lossless Is Lossless Speculative Decoding? The Role of Numerical Precision in Orthrus
    Inference
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Turkish MMLU Pro: Traceable Option Augmentation and Its Validity Limits in Turkish Multiple-Choice Evaluation
    Embeddings Machine Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Clean Scores, Buried Evidence, and Confident Wrong: A Receipt-Based Audit of Frontier Agentic QA
    AI Agents Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    CITECHOICE: A Causal Audit of How Document Presentation Redistributes Citation Credit in Agentic Search
    Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • The Register (Data Centre) · EN Infrastructure & Hardware
    Nvidia's Groq acquihire is on the DOJ's radar, but it's already too late
    Nvidia's $20B Groq acquihire draws DOJ scrutiny, likely too late
    NVIDIA
    The DOJ is reportedly examining Nvidia's roughly $20 billion acquihire of Groq. The Register argues that unwinding the deal would change little, since a growing list of inference-chip alternatives is already positioned to fill Groq's place.
    Read original (The Register (Data Centre)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
    AI Agents Machine Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant
    AI Agents Machine Learning Reinforcement Learning Software Engineering Speech Processing
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    MAxBench: A Multinomial Concept Recovery Benchmark
    Meta
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication
    DeepSeek Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks
    GPT Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Parameter-Efficient Retrievers for Polish and European Languages
    Embeddings Fine-tuning Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Funding & M&A
    DuplexDrama: A Synthesized Dialogue Dataset with Scenarios, Full-Duplex Behaviors, Expressive Speech, and Sound Events
    Neural Network Speech Processing
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS
    Algorithms & Theory Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    MedRoundsQA: A Persona and Difficulty Aware Evaluation for Multi-Turn Medical Consultations
    AI Agents Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Scaling Clinical Judgment to Evaluate Medical AI
    Deep Learning Fine-tuning Health & Bio Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    GraphAHA: Graph-Based Adaptive Search with Heterogeneous Actions for Test-Time Code Generation
    DeepSeek Inference Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • OpenAI Blog · EN Developer Tools
    Rapidly scaling online storage to serve over 1 billion ChatGPT users
    OpenAI scales Habitat storage to 1B ChatGPT users, 22M req/s
    Deep Learning GPT OpenAI Retrieval-Augmented Generation (RAG)
    OpenAI describes how Habitat, its application storage platform, grew from a Python library into a globally distributed system serving over 1 billion ChatGPT users at 22M requests per second. The post covers asyncio delay tracking, feature-flag tail latency, connection pooling and load balancing, plus a Python-to-Rust migration and Azure Cosmos DB tuning.
    Read original (OpenAI Blog) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results
    Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification
    Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Information Specialization and Constrained Synthesis in Multi-Agent LLM Forecasting: A Prospective Live-Study of the 2026 FIFA World Cup
    AI Agents Deep Learning Meta Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    Zipbench: Low-Cost Framework for Compressing Comprehensive Benchmarks of Large Language Models
    Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Not All Speech Is Intent: Adaptive Self-Correcting Inference Layer for Post-ASR False Wake-Up
    Embeddings Inference Neural Network Speech Processing
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Do LLMs Trust the Accuser or the Accusation? Measuring Belief Shifts in Werewolf
    AI Agents Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Simon Willison's Weblog · EN New Model Releases
    Datasette 1.0a39 and 0.65.4 security releases
    Datasette ships 1.0a39 and 0.65.4 security patches after an LLM-aided audit
    Claude GPT Machine Learning Neural Network
    Simon Willison released two Datasette security patches: 1.0a39 for the current alpha series and 0.65.4 for the stable 0.65.x line. Apply them if you run a public-web instance, especially one mixing public and private tables. Prompted by reports from Sevban Donmez, Willison and Alex Garcia audited Datasette with Claude Fable 5.1, GPT-5.6 and GPT-6 Astra, then spent nearly a week reviewing fixes. Frontier-model audits will be folded into future development.
    Read original (Simon Willison's Weblog) ↗