Egnyte has announced a new set of capabilities designed to consolidate fragmented knowledge. Email Capture centralizes critical communications and attachments from siloed inboxes into the Egnyte folde…
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Egnyte has announced a new set of capabilities designed to consolidate fragmented knowledge. Email Capture centralizes critical communications and attachments from siloed inboxes into the Egnyte folde…
iProov has launched iProov Verified Meetings, a new solution that enables organizations to verify the identity of video call participants without adding friction to the user experience. Video meetings…
Babel Street has launched Insights Investigator, a new agentic capability that puts tradecraft-trained AI agents at the front edge of investigative work while ensuring analysts remain in control of sc…
The vulnerability, CVE-2026-8153, affects Universal Robots PolyScope 5 and it can be exploited for OS command injection. The post Critical Vulnerability Exposes Industrial Robot Fleets to Hacking appe…
Cybersecurity researchers have discovered a fresh software supply chain attack campaign that has compromised various npm packages associated with the @antv ecosystem as part of the ongoing Mini Shai-H…
In yet another software supply chain attack, threat actors have compromised the popular GitHub Actions workflow, actions-cool/issues-helper, to run malicious code that harvests sensitive credentials a…
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arXiv:2605.16953v1 Announce Type: new Abstract: While AI-generated hallucinations pose considerable risks, the underlying cognitive mechanisms by which humans can successfully recognize or be misled b…
arXiv:2605.16927v1 Announce Type: new Abstract: Clinical decision-making is a feedback system where risk estimates influence treatment, which in turn changes disease trajectories, and both shape clini…
arXiv:2605.16909v1 Announce Type: new Abstract: Tool-using agents are increasingly expected to operate across realistic professional workflows, where they must interpret multimodal inputs, coordinate …
arXiv:2605.16893v1 Announce Type: new Abstract: Recent studies introduce conditional memory modules that decouple knowledge storage from neural computation, enabling more direct knowledge access. Comp…
arXiv:2605.16880v1 Announce Type: new Abstract: Multimodal magnetic resonance imaging (MRI) is crucial for brain tumor segmentation, with many methods leveraging its four key modalities to capture com…
arXiv:2605.16874v1 Announce Type: new Abstract: Large reasoning models (LRMs) substantially outperform their base LLM counterparts on challenging reasoning benchmarks, yet it remains poorly understood…
arXiv:2605.16857v1 Announce Type: new Abstract: Experience-driven learning has emerged as a promising paradigm for enabling agents to improve from interaction trajectories by accumulating and reusing …
arXiv:2605.16844v1 Announce Type: new Abstract: Between the narrow systems we deploy and the general intelligence we speculate about lies an entire regime of machine behavior that has never received i…
arXiv:2605.16842v1 Announce Type: new Abstract: Diffusion Multi-Modal Large Language Models (dMLLMs) are powerful for image generation, but optimizing them through reinforcement learning (RL) remains …