30 results for "bst"
BST: A Great Way To Generate Income And Gain Exposure To Anthropic, Databricks, And Anduril
BlackRock Science and Technology Trust offers high-single-digit yields and rare access to private AI and defense-tech companies. Read why BST is a Buy.…
Rare two-colored lobster caught by fishermen off Cape Cod donated to aquarium
It might be a divided lobster, but it has united New Englanders in fascination.…
JONATHAN TURLEY: Virginia’s 'Lobster' district is a gerrymandered Godzilla
Ultimate list of storage abstraction libraries
The One Substrate Failure Behind Every AI System in 2026
(Linux) Has anyone succeeded in using NVMe space as substitute RAM for larger models? Is it worthwhile?
So I have a consumer-grade AMD GPU with 24gb VRAM and 64gb DDR5 RAM which have served me well enough for models up to around 120B. Of course, this just isn't enough for larger models in the 300B+ rang…
Starmer faces harsh criticism from his own MPs as members debate referring him to privileges committee – UK politics live
Badenoch accuses Labour MPs who obey the whip of ‘acting like sheep’ ahead of crunch Mandelson vetting row vote in Commons Q: Was there pressure on you to approve Mandelson’s vetting? This is a refere…
Xiaomi releases MiMo-v2.5 Family weights with strong coding and agent benchmarks
Peking University gives its computer science students a compiler project every semester. Build a complete SysY compiler in Rust including lexer, parser, abstract syntax tree, IR code generation, assem…
AI prefers resumes written by itself: Self-preferencing in Algorithmic Hiring
As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderatio…
Mitigating Belief Inertia via Active Intervention in Embodied Agents
Recent advancements in large language models (LLMs) have enabled agents to tackle complex embodied tasks through environmental interaction. However, these agents still make suboptimal decisions and pe…
Ex-NBA player Damon Jones set to plead guilty in gambling sweep that netted more than 30 arrests
Former NBA player and assistant coach Damon Jones is set to plead guilty Tuesday to charges he cashed in on rigged poker games and gave sports bettors nonpublic injury information about stars, includi…
On the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation
Preference-based argumentation frameworks (PAFs) extend Dung's approach to abstract argumentation (AAFs) by encoding preferences over arguments. Such preferences control the transformation of attacks …
FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean
Formalising informal mathematical reasoning into formally verifiable code is a significant challenge for large language models. In scientific fields such as physics, domain-specific machinery (\textit…
AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting
Accurate long-term time series forecasting (LTSF) requires the capture of complex long-range dependencies and dynamic periodic patterns. Recent advances in frequency-domain analysis offer a global per…
AI Identity: Standards, Gaps, and Research Directions for AI Agents
AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous human supervision. This creates a problem no current infrastructure is …
ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms
Argumentation is a core practice in STEM education, but its productivity depends on who participates and how they interact. Higher-achieving students often dominate the talk and decision-making, while…
Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
Recent advancements in large language models (LLMs) have catalyzed the rise of reasoning-intensive inference paradigms, where models perform explicit step-by-step reasoning before generating final ans…
Causal Discovery as Dialectical Aggregation: A Quantitative Argumentation Framework
Constraint-based causal discovery is brittle in finite-sample regimes because erroneous conditional-independence (CI) decisions can cascade into substantial structural errors. We propose Quantitative …
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…
An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness
Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data become stale due to cha…
CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation
The evaluation of generated reports remains a critical challenge in Computed Tomography (CT) report generation, due to the large volume of text, the diversity and complexity of findings, and the prese…
Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer
Extracting abstract causal structures and applying them to novel situations is a hallmark of human intelligence. While Large Language Models (LLMs) and Vision Language Models (VLMs) have shown strong …
An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress
As large language models (LLMs) are increasingly deployed in high-stakes and operational settings, evaluation strategies based solely on aggregate accuracy are often insucient to characterize system r…
Right-to-Act: A Pre-Execution Non-Compensatory Decision Protocol for AI Systems
Current AI systems increasingly operate in contexts where their outputs directly trigger real-world actions. Most existing approaches to AI safety, risk management, and governance focus on post-hoc va…
Credal Concept Bottleneck Models for Epistemic-Aleatoric Uncertainty Decomposition
Concept Bottleneck Models (CBMs) predict through human-interpretable concepts, but they typically output point concept probabilities that conflate epistemic uncertainty (reducible model underspecifica…
Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence
This review proposes an integrative framework grounded on interoception and embodied AI-termed the interoceptive machine framework-that translates biologically inspired principles of internal-state re…
A systematic evaluation of vision-language models for observational astronomical reasoning tasks
Vision-language models (VLMs) are increasingly proposed as general-purpose tools for scientific data interpretation, yet their reliability on real astronomical observations across diverse modalities r…
Microsoft's GitHub shifts to metered AI billing amid cost crisis
The all-you-can-eat AI buffet is coming to an end Microsoft is closing the AI buffet offered to GitHub Copilot customers, acknowledging that it can’t sell AI like Red Lobster's Endless Shrimp.……
Minford, Green second in D-V, D-VII Polls; Clay, Valley, SW also ranked
The same five teams who have been ranked since the start of the regular season continue to hold serve inside the latest Ohio High School Baseball Coaches Association (OHSBCA) State Rankings, as Minfor…
Headwater Exploration: A License To Print Money
Headwater Exploration's low-cost structure enables rapid profit growth and substantial cash accumulation. Read why CDDRF stock is a Strong Buy.…