AI is driving a seismic economic shift from physical goods to digital value, transforming work, education, and identity. The automation of routine tasks redefines professional roles, while education m…
Key players including Anthropic, OpenAI, the Vatican, and U.S. Congress are debating AI guardrails, with disagreements over prioritizing catastrophic risks, human dignity, or national competitiveness.…
AI projects often fail after promising demos because integration is neglected as a core responsibility. Teams must own the integration process from day one, planning meticulously to ensure AI systems …
Anthropic's Claude Sonnet 5 ranks fifth in the Artificial Analysis Intelligence Index with 53 points, outperforming the pricier Opus 4.8 in agent-based tasks, but consumes 40% more tokens per task, ne…
Enterprises that deploy AI on third-party infrastructure risk exposing operational data and creating long-term dependency on external platforms, warns Forbes Councils member Mukhtar Ahmad.…
Anthropic is restoring access to its Fable 5 AI model after the Trump administration lifted export controls that had suspended the model. The move follows tensions over a supposed jailbreak vulnerabil…
Researchers at a recent study argue that AI systems in the public sector are often oversimplified into a single category, leading to imprecise evaluations of their impact on public values. They propos…
Large language model agents are being deployed in process plants to assist operators with fault recovery, proposing actions that are validated externally to ensure safety. The framework aims to reduce…
Large language models are evolving from text generators into integrated components in diverse systems, presenting new security challenges across their entire lifecycle. Experts warn that vulnerabiliti…
ViToS, a dual-stream reinforcement learning framework, prunes unnecessary visual tokens in medical imaging to streamline vision-language models. It reduces inference load and boosts performance, achie…
A new study finds Random Forest achieves a 0.99 F1-score in detecting intrusions on IoT devices using the Gotham2025 dataset, outperforming XGBoost, Logistic Regression, Naive Bayes, and Deep Neural N…
A new study compares two deep learning frameworks for uncertainty estimation in automotive radar: a von Mises ensemble (ENS) and an evidential deep learning (EDL) model. The ENS model offers better pr…
Researchers introduced MPL-MAE, a new 3D autoencoding framework that reduces positional bias to enhance semantic learning in point cloud processing. The framework uses a gated positional interface mod…
Researchers have developed a CVE-TTP Knowledge Graph linking software vulnerabilities to attacker behaviors using the MITRE ATT&CK framework. Transformer-based models like CySecBERT achieved high F1-s…
DA-Studio, an interactive web-based system, transforms data analysis by automating workflows in a sandboxed environment, providing transparency and interactivity. It integrates an action-structured ba…
Researchers introduced Stage-Transition Dense Reward (STDR), a framework that extracts dense rewards from unstructured expert videos to train robotic manipulation agents, improving sample efficiency a…
A researcher used Anthropic's Claude Opus 4.7 to exploit a vulnerability in Front Gate, the ticketing platform for major festivals like Lollapalooza and Bonnaroo, enabling the issuance of free tickets…
Jabra launched its Evolve3 headsets with AI collaboration tools and in-call active noise cancellation, aiming to enhance virtual communication in noisy environments. The release underscores the conver…
OpenAI's GPT-5.6 Pro tier may launch in three distinct variants, according to a benchmark paper, marking a shift from the company's single top-tier model strategy. The move aims to cater to specialize…
Barney Krishnan argues that adopting agentic AI demands a fundamental overhaul of enterprise strategies, emphasizing the need to navigate historical lessons, manage risks, and invest in human capital.…