Funding & M&A C
Showing 31–60 of 138
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Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
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ScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs
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Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets
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Beyond a Single Judge: Simulating Social Persona Panels for Generative UI Evaluation
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A foundation model of numerical intelligence with cross-disciplinary generalization
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Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features
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Connected Infra Group CEO Borghei eyes tower M&A opportunities amid AI boomConnected Infra Group CEO eyes tower M&A as AI boom lifts sectorConnected Infra Group CEO Borghei is eyeing M&A opportunities in the telecom tower industry amid the AI boom, DatacenterDynamics reported. He said spectrum auctions are offering encouragement to the tower sector, signaling appetite for consolidation.
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Windowed thinning and query complexity for the bouncy particle and Zigzag samplers
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ChipAgents raises additional $60m in expanded Series A round to support AI chip design platformChipAgents raises additional $60m in expanded Series A for AI chip designAI chip-design startup ChipAgents raised an additional $60m in an expanded Series A round, DatacenterDynamics reported. The company claims more than 120 chip firms have already deployed its platform, underscoring demand for AI-assisted semiconductor design.
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Teffic-Audio: Tell Fact from Fiction
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Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations
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From Textual Requirements to Microservice Architectures - A Comprehensive Evaluation of LLM-Based Design Synthesis
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A Distributed Acoustic Sensing Dataset for Vessel Detection and Localization in Submarine Cable Protection
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Vertiv's earnings and revenues grow, shares fallVertiv grows earnings and revenue, but shares fallVertiv reported higher earnings and revenue, yet its shares fell, DatacenterDynamics reported. The decline comes as AI data center investment grows increasingly volatile, with investors wary of uncertainty despite the power and cooling supplier's solid results.
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Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation
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Causal Discovery with Inverted Self-attention for Multivariate Time Series
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Vibe-FDTR: An agent-oriented framework for reproducible frequency-domain thermoreflectance data analysis
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Are AI Models Working Harder Than They Need to?Are AI models working harder than they need to?IEEE Spectrum examines how much of modern AI relies on massive amounts of multiplication. Questioning whether the neural networks behind everything from generated answers to photo organization really need all that computation, the piece explores the potential to make AI inference far more efficient.
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The MADRS Pipeline: Supporting Depression Assessment in Clinical Trials
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Search Strategies for Optimal Classification and Regression Trees
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Rethinking LLM-Judged Helpfulness as a Pedagogy Signal: A Pre-Registered Audit Across Tutor Models
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Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
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PCAP-LM: An LLM-Native Text Representation for TLS Bulk Traffic Analysis
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Chem World: A Large-Scale Benchmark and Physics-Informed Framework for Trustworthy Chemical Property Prediction
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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale
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ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous Agents
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Learning features from Newton's algorithm: a way to accelerate nonlinear parametrized PDE solvers
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RepBench: Compiling Benchmarks into Capability Representations for Large Language Models
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AutoPref: Automatic Discovery of Task-Specific Preference Objectives for Neural Combinatorial Optimization
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Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting