Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A viral post by a MAANG engineer has reignited a growing debate in tech hiring. As AI tools become part of everyday coding, ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

Artificial Intelligence (AI) is fundamentally transforming portfolio management, moving from traditional, human-centric methods to a more advanced, data-driven approach. In today’s fast-paced ...

Citi recently added a high-profile new wealth advisor to its team — and she's AI-generated. Last week, Citi unveiled "Citi Sky," a 24-hour AI-powered wealth advisor that will start getting rolled out ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

SanDisk Corporation (NASDAQ:SNDK | SNDK Price Prediction) shares are up 5% in Tuesday morning trading, reaching $600 after opening at $572.50. The move marks a meaningful reversal after an 18.5% ...

Micron Technology (NASDAQ: MU | MU Price Prediction) is trading at $357.22, while the Wall Street consensus price target sits at $527.60. That gap of roughly 47% demands a clear-eyed look at what ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an ...