Foundations of Data Governance Data governance is the structured, ongoing process of managing an organization’s data to ensure its availability, usability, int...
What Is Agentic AI? Agentic AI refers to AI systems that can take actions in pursuit of a goal rather than simply producing single responses. Capabilities of a...
If you've got strong creative instincts, the ability to authentically portray emotion, and are capable of staying true to a character's voice throughout a scene...
Limitations of General-Purpose Models Large general-purpose models are powerful, but they are not always optimal for specialized environments. A model trained...
Zero-shot vs Fine-tuned Models One of the most important decisions in applied AI is whether to use a model in a zero‑shot setting or invest in fine‑tuning. A z...
Spiking Neural Networks (SNNs) currently face a critical bottleneck: while individual neurons exhibit dynamic biological properties, their macro-scopic architec...
'February 26, 2026 New York, NY
Introduction Before you sell something, you should make sure it actually works on yourself. That’s the rule I gave my agent — Gary Botlington IV — when we deci...
AI‑Generated Music: Revolutionizing the Industry Imagine a song written entirely by an AI tool, in the style of your favorite singer, produced and mastered in...
The 50KB JSON Problem When your AI agent calls a tool—e.g., searching for a user profile in a database—the API often returns a massive JSON payload e.g., 40 KB...
High-fidelity computational fluid dynamics (CFD) simulations are widely used to analyze nuclear reactor transients, but are computationally expensive when explo...
Backboard now ships with Adaptive Context Management, a built‑in system that automatically manages conversation state when your application switches between LLM...
This study presents a conditional flow matching framework for solving physics-constrained Bayesian inverse problems. In this setting, samples from the joint dis...
Automated segmentation of Martian landslides, particularly in tectonically active regions such as Valles Marineris,is important for planetary geology, hazard as...
We evaluate JEPA-style predictive representation learning versus reconstruction-based autoencoders on a controlled 'TV-series' linear dynamical system with know...
This paper introduces GELATO (Government, Executive, Legislative, and Treaty Ontology), a dataset of U.S. House and Senate bills from the 118th Congress annotat...
Diffusion and flow models achieve State-Of-The-Art (SOTA) generative performance, yet many practically important behaviors such as fine-grained prompt fidelity,...
In this article, we analyze and propose a Python implementation of the method 'Pith Estimation on Rough Log End images using Local Fourier Spectrum Analysis', b...
Classical scaling laws model AI performance as monotonically improving with model size. We challenge this assumption by deriving the Institutional Scaling Law, ...
Low-field magnetic resonance imaging (MRI) offers a cost-effective alternative for medical imaging in resource-limited settings. However, its widespread adoptio...
Details A month after Seedance 2.0's launch in China sparked cease‑and‑desist letters from Disney and Paramount Skydance over its use of copyrighted materials,...
Honeypots are deception systems that emulate vulnerable services to collect threat intelligence. While deploying many honeypots increases the opportunity to obs...
Low-field magnetic resonance imaging (MRI) offers affordable access to diagnostic imaging but faces challenges such as prolonged acquisition times and reduced i...
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Vision language models (VLMs) are increasingly capable of reasoning over images, but robust visual reasoning often requires re-grounding intermediate steps in t...
Image super-resolution (SR) aims to reconstruct high resolution images with both high perceptual quality and low distortion, but is fundamentally limited by the...
Sentence simplification aims to make complex text more accessible by reducing linguistic complexity while preserving the original meaning. However, progress in ...
Contextual sparsity is one of the approaches used to reduce computational complexity in the inference process of large language models (LLMs). Existing techniqu...
Climate-vulnerable road networks require a paradigm shift from reactive, fix-on-failure repairs to predictive, decision-ready maintenance. This paper introduces...
We're offering a limited-time promotion that doubles usage limits for Claude users outside 8 AM‑2 PM ET / 5‑11 AM PT. This promotion is available for Free, Pro,...
Trustworthiness in artificial intelligence depends not only on what a model decides, but also on how it handles and explains cases in which a reliable decision ...
Trained Transformers have been shown to compute abstract features that appear redundant for predicting the immediate next token. We identify which components of...
Strands Agents with Bedrock AgentCore Code Interpreter Integrating Strands Agents with the Amazon Bedrock AgentCore Code Interpreter empowers your AI to solve...
Textual Emotion Classification (TEC) is one of the most difficult NLP tasks. State of the art approaches rely on Large language models (LLMs) and multi-model en...
Agentic AI Agentic AI refers to artificial intelligence systems that behave like autonomous agents. These systems are able to observe their environment, make d...
Modern Translation Systems heavily rely on high-quality, large parallel datasets for state-of-the-art performance. However, such resources are largely unavailab...
We propose a society-first theory of normative appropriateness where individuals, modeled as pre-trained actors with cognitive architectures analogous to Large ...
The AI hype machine has been running at full speed. “Replace your workers with AI! Save millions! Fire everyone!” But reality has a way of punching hype in the...
OpenClaw Security Warning: Prompt‑Injection Risks and Emerging Threats Ravie Lakshmanan • Mar 14, 2026 • Artificial Intelligence / Endpoint Security !OpenClaw...
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How to build your first autonomous AI agent in 2026. The AI agent revolution is here—Anthropic released multi‑agent code review, OpenAI shipped Codex Security,...
Study Findings > A new study suggests the productivity boost from AI may be far smaller than executives claimhttps://nerds.xyz/2026/03/foxit-ai-productivity-st...
Ask ChatGPThttps://mashable.com/category/chatgpt to make you a short film, and it soon may be able to do just that. Inside sources told The Informationhttps://w...
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Let’s Clear the Confusion First When people hear “autonomous AI agent”, they imagine one of two extremes: - 😨 A runaway system making dangerous decisions - 🤩...
Stacked AutoEncoders (SAE) have been widely adopted in edge anomaly detection scenarios. However, the resource-intensive nature of SAE can pose significant chal...
Deploying trustworthy artificial intelligence on edge robotics imposes a difficult trade-off between high-assurance robustness and energy sustainability. Tradit...
Spike sparsity is widely believed to enable efficient spiking neural network (SNN) inference on GPU hardware. We demonstrate this is an illusion: five distinct ...
