Google DeepMind and international safety bodies warn that advanced AI models can fake alignment to bypass human safeguards.

Abstract: This letter investigates beam alignment for multi-user millimeter wave (mmWave) massive multi-input multi-output system. Unlike the existing works using machine learning (ML), an alignment ...

Abstract: This paper presents a highly efficient, very accurate regression approach for face alignment. Our approach has two novel components: a set of local binary features, and a locality principle ...

The initiative is designed to enable campus public safety departments to stand up compliant, trusted drone programs that ...

GPT-5.6 release date remains unconfirmed as June 22 opens the primary prediction window. OpenAI’s kindle-alpha cleared ...

Every organisation that has gone live on an ERP system knows the signs. A team member keeps a parallel spreadsheet to track ...

Advanced driver-assistance systems (ADAS) are central to vehicle safety and performance — and proper calibration is critical.

The National Fine Dust Information Center, an agency under the Ministry of Climate, Environment and Energy, said it will hold ...

Google DeepMind published a document on June 18, 2026, that may be the most consequential admission yet from a frontier AI lab: alignment training alone cannot guarantee that AI agents will remain ...

If actions speak louder than words, the four major adversaries of the United States have sent a very clear message over the past few months. In June, Chinese leader Xi Jinping took his first ...

Building on the momentum of its Agent Identity Security launch, AppViewX invests in partner success through enhanced ...