Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

Much of our understanding of Earth's past is derived from stratigraphic records exposed in rock outcrops or recovered from drilled cores. These records span immense time intervals, from thousands to ...

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

Druckli Tools for Cinema 4D adds new node assets, distributions and generators including Plane Split and 3D Noise.

Alex Fuerbach received/receives funding from the Australian Research Council, the Australian Department of Defence, The US Office of Aerospace Research and Development, Arthrolase, HB11 Energy and ...

Archival storage poses lots of challenges. We want media that is extremely dense and stable for centuries or more, and, ideally, doesn’t consume any energy when not being accessed. Lots of ideas have ...

VittoriaDB is a high-performance, embedded vector database designed for local AI development and production deployments. Built with simplicity and performance in mind, it provides a zero-configuration ...

Abstract: Seismic data interpolation is a vital technology for improving seismic data density. In recent years, deep learning approaches have demonstrated significant potential in this field, yielding ...

As AI workloads redefine compute intensity, India’s data centres are no longer passive infrastructure; they are strategic engines of the digital economy. CtrlS’ Vipin Jain explains how power density, ...

The 2025 OCP Global Summit showcased a shift towards high-density GPU racks, standardized liquid cooling, and 800 VDC power distribution, aiming to accelerate AI data center deployment while reducing ...

Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads. It is positioned as ‘the SQLite of vector databases’ ...

Abstract: Graph embedding provides a feasible methodology to conduct pattern classification for graph-structured data by mapping each data into the vectorial space. Various pioneering works are ...