Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
While traditional databases store information in rigid tables, Neo4j treats data as a network of nodes and relationships, a method ...
Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...
Anthropic's new tool, Claude Managed Agents, promises enterprises a more streamlined way of deploying agents without complex ...
Artificial intelligence detection and response platform startup Manifold Security Inc. today announced the launch of Manifest ...
The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Built on an integrated end-to-end architecture of Construct-Align-Reason (CAR), LOM enables AI, for the first time, to autonomously construct structured business logic system from raw enterprise data ...
The result is Label OS: the infrastructure that now powers iGroove internally, and which the company is opening up to other ...
The arrow represents the haves and have-nots of Houston-area neighborhoods.
Snowflake has experienced a ~20% decline, driven more by sentiment shifts and positioning than fundamental deterioration. See ...
As agentic systems mature toward continuous, autonomous refactoring, the concept of "legacy code" may eventually disappear ...