While contemporary AI achieves impressive feats, crafting human-like prose, recognizing complex patterns and mastering games, it obscures a fundamental limitation.

The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.

A new study by Anthropic, the company behind Claude AI, has revealed that AI models and neural networks can quietly absorb ...

What’s more, many of these devices, from fridges to fans, now come equipped with AI accelerators tucked into their chipsets.

The company trained GLM-4.5 through a multistep workflow. First, it developed an initial version of the model using a dataset ...

The tool, which is known as Opal, made its debut on Thursday. The launch comes a couple of weeks after Amazon Web Services ...

Who-Fi uses AI and standard Wi-Fi signals to identify and track individuals without any device or camera. Here’s how it works ...

Ozak AI has successfully reached Phase 4 of its presale program. A single token, $OZ, costs $0.005. The fourth phase of this ...

New types of AI coding assistants promise to let anyone build software by typing commands in plain English. But when these ...

Global capability centres (GCCs, the tech & operations arms of MNCs) have helped power India’s technology ascent for years ...

In today's enterprise technology ecosystem, where cloud architecture, intelligent systems, and data governance intersect, ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, ...