Funding & M&A

C
Showing 61–90 of 108
  • Data Center Dynamics · EN Funding & M&A
    Neocloud General Compute raises $100m in Series A funding round
    Neocloud General Compute raises $100m Series A at $800m valuation
    AI cloud startup General Compute raised $100 million in a Series A led by Blackbird Ventures and Abstract Ventures at an $800 million post-money valuation, up from $60 million in May. It expects to deploy 75MW in 2027.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    TPG eyes UK data center firm Ark - report
    TPG reportedly eyes UK data center firm Ark at about $5bn valuation
    The FT reports TPG is in talks to buy Ark Data Centres from Elliott at a valuation of about $5 billion. No deal is assured, and the companies declined to comment. Ark has 27 data centers across nine UK and Belgian sites, totaling over 560MW.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Funding & M&A
    Enhanced image forensics through partial C2PA-based provenance information
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Cross-Primitive Consistency in Jev
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Similar Scores, Opposite Failures: Human Correction as an Instrument for Video Caption Evaluation
    Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • ITmedia AI+ · JA New Model Releases
    Anthropic、独自の“創薬活動”に着手 社員1人のバイオ企業を買収、小児難病の治療薬研究を進める
    Anthropic starts own drug discovery, buys one-person biotech firm
    Anthropic Claude
    Anthropic announced on Oct 27 that it is pursuing its own drug discovery, targeting rare pediatric conditions such as muscular dystrophy. It acquired a one-employee company that used Claude to run experiments with 11 outside research institutions, and took over that research.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Infrastructure & Hardware
    NVIDIAとAMD、MetaとのAI分野での提携拡大を発表 「Muse」の強化や次世代インフラ構築で協力
    NVIDIA, AMD expand Meta tie-ups with $3B and $1B investments
    AI Agents Meta NVIDIA
    NVIDIA and AMD each announced expanded strategic partnerships with Meta in AI, cooperating on development and operation of the Muse AI agent and on next-generation infrastructure. They also pledged investments in Meta ($3 billion from NVIDIA, $1 billion from AMD), as Meta builds out infrastructure with both in-house chips and external supply.
    Read original (ITmedia AI+) ↗
  • arXiv cs.LG (Machine Learning) · EN Funding & M&A
    When Should We Intervene at Test Time?
    Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Agents & Tool Use
    Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis
    AI Agents
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time Models
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Funding & M&A
    Understanding the limits of latent world models
    AI Agents Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Kinematic Constraint-Referenced Evaluation for Articulated Object Manipulation
    Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Developer Tools
    BitFuFu considers abandoning 80MW Ethiopian Bitcoin mine acquisition
    BitFuFu weighs dropping 80MW Ethiopian Bitcoin mine deal
    BitFuFu is considering abandoning its acquisition of an 80MW Ethiopian Bitcoin mine. A dispute between the current operator and the local electricity supplier could derail the deal.
    Read original (Data Center Dynamics) ↗
  • IEEE Spectrum (AI section) · EN Safety & Evaluation
    Your Robot’s Safety Functions Already Work. What If the Input Lies?
    IEEE Spectrum asks what happens if a robot's safety inputs are falsified
    Neural Network
    Robot safety functions such as slowing near people depend on inputs like distance readings, position estimates or stop signals. This IEEE Spectrum piece, sponsored by VicOne, asks what happens when those inputs are false.
    Read original (IEEE Spectrum (AI section)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    HGPRGDel: GPR-Aware Learning and Ranking for Growth-Coupled Gene Deletion Design
    Machine Learning Meta Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    FeatureArc: Benchmarking Coding Agents on Evolving Features
    AI Agents Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Constraining the Commit Boundary: A DIO/ODI-Informed Authorization Guardrail for Agentic Entity Resolution
    Deep Learning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    JEPA-Inspired Latent Field Prediction for Sparse-Pilot MIMO-OFDM Channel Reconstruction
    Embeddings Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    AirTrunk secures AU$4.25 billion green loan for Sydney data center campus
    AirTrunk secures AU$4.25bn green loan for Sydney campus
    AirTrunk has secured a AU$4.25 billion green loan for its Sydney data center campus. The current expansion phase at the SYD3 site is due live in 2028.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.LG (Machine Learning) · EN Funding & M&A
    Normative Deviation Modeling for EEG-based Depression Detection
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Multi-Label Agreement: A Flexible Framework for Inter-Annotator Reliability
    Machine Learning Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Funding & M&A
    Modeling Preference Dependencies with Directed Acyclic Graphs for Narrative-Driven Recommendation
    AI Agents Deep Learning Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Where Should the Evaluation Budget Go in LLM-Driven Agent Scaffold Evolution?
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Coverage Under Contradiction: A Benchmark for Negation-Aware Retrieval
    Meta Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Mechanistic Failure Modes of Weight Pruning in Transformer Language Models
    GPT Machine Learning Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • ITmedia AI+ · JA Industry Adoption
    IPO目論見書に「AIは人類の存亡リスク」「コードの9割はClaude製」 Anthropicが示した規格外の見立て
    Anthropic files IPO prospectus: over 90% of its code is AI-written
    Anthropic Claude
    Anthropic filed its IPO prospectus (Form S-1) with the US SEC on Oct 26. It discloses that over 90% of internal code is written by AI and that AI spending exceeds labor costs, and it addresses a wide range of risks AI could pose to humanity.
    Read original (ITmedia AI+) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    The State and Fate of Multilingual, Contextual Evaluation in the NLP World
    Neural Network Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Stratechery (free posts) · EN Funding & M&A
    Anthropic S-1, The Cost of Compute, Who Is Paying?
    Anthropic's S-1: profitable core business, but rivals may erode profits
    Anthropic Deep Learning
    Stratechery examines Anthropic's S-1 and the cost of compute, asking who is paying. The core business is very profitable, but competition could eat into those profits, while investors face what the piece calls endless dilution.
    Read original (Stratechery (free posts)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Developing a Speech Language Model for Basque
    Fine-tuning Llama Speech Processing
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Patient-specific rubric-based evaluation of large language models across longitudinal cancer care
    Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗