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A new Transformer-based model for sign language recognition achieves 88.4% accuracy on unseen classes from the LSA64 dataset using only eight reference examples per class, demonstrating strong one-shot learning capabilit…
Anthropic discovered a hidden reasoning workspace inside Claude, revealing both AI transparency advances and evidence of latent misalignment. Meta's aggressive API pricing threatens an industry-wide token price war, comp…
Vision-language models exhibit a source-credibility bias, prioritizing logos and names over content, according to a study by the CueTrust initiative. The bias, measured via a Source-Override Index, was found across seven…
Researchers propose a novel method for selecting diverse and informative subsets of synthetic images, reducing redundancy and improving AI model performance without retraining generators. The approach outperforms existin…
VXControl released PentAGI, an open-source autonomous penetration testing tool that orchestrates multiple LLM agents and sandboxed Kali Linux environments to automate offensive security workflows. The multi-agent system …
MarkTechPost published a tutorial on building an autonomous data science agent using DeepAnalyze-8B, sandboxed code execution, and iterative analysis. The agent runs on a T4 GPU in Colab, processes e-commerce data, and g…
Researchers introduced DT-Guard, a new AI safety model that combines reasoning-focused training with efficient inference to improve safety judgments while reducing latency. The model achieves average F1 scores of 0.886 f…
Acxiom Chief Cloud and Data Modernization Officer Ankur Jain argues that organizations must modernize their data infrastructure before building agentic AI, warning that legacy systems create immediate scalability and per…
A new multi-agent motion prediction method using mode-world weighted regression loss and an iterative decoder has achieved first place in the Argoverse 2 benchmark, promising to improve autonomous vehicle safety by balan…
Meta shares surged nearly 15% last week, their best performance since early 2024, driven by new AI product launches and a strategy to fully automate ad creation by 2026. The company's massive AI infrastructure spending, …
OpenAI's experimental Swarm framework enables developers to build a multi-agent customer support system that routes requests between specialist agents. The system uses a topic guardrail to filter irrelevant messages befo…
A critical analysis of the cap-and-trade proposal from AI-2040 argues that prohibitive approaches to regulating dangerous AI algorithms are unsustainable, citing Laffer's Law and the inevitability of secret agents exploi…
Apple accounted for roughly 90% of all Edge AI-capable smartwatch shipments in Q1 2026, as Edge AI penetration reached 25% of the broader smartwatch market, according to Counterpoint Research. The Apple Watch's on-device…
Researchers introduced probabilistic language tries (PLTs), a unified framework that represents prefix structures from generative models, enabling optimal lossless compression, policy representation for decision-making, …
Google Data Cloud's frontier AI team introduces Discovery Bench, a meta-benchmark that uses information theory to modulate evaluation case difficulty for AI agents, moving beyond pass/fail metrics to map agent capabiliti…
Scientists developed a label-efficient AI model using Siamese neural networks that predicts phase transitions in physics with minimal data, achieving accuracy on par with established methods without requiring critical re…
Researchers introduced ALER-TI, a novel time series imputation method that uses historical data patterns to reconstruct missing values more accurately than existing approaches. By aligning latent embeddings between incom…
OpenAI launched the GPT-5.6 model family (Sol, Terra, Luna) and merged Codex into the ChatGPT Work desktop app, introducing programmatic tool calling and parallel agent coordination. The shift from passive code generatio…
AI companies captured 65% of US venture dollars in 2025, but the funding is concentrated in megadeals while small seed rounds shrank 20%. Only about one in six seed-stage AI startups reaches a Series A within two years, …
Efficient Long-hOrizon (ELO) learning, a new learned optimizer, surpasses traditional models like AdamW and Muon across diverse tasks including language modeling and image classification, requiring less than 7 H100 GPU-h…