Technology

EPFL Researchers Unveil FG2 at CVPR: A New AI Model That...

AI Observer
Technology

Sakana introduces new AI architecture, ā€˜Continuous Thought Machines’ to make models...

AI Observer
Technology

Guardian agents: New approach could reduce AI hallucinations to below 1%

AI Observer
Technology

The interoperability breakthrough: How MCP is becoming enterprise AI’s universal language

AI Observer
Technology

SimilarWeb’s new AI usage report reveals 5 surprising findings, including explosive...

AI Observer
Technology

AI power rankings upended: OpenAI, Google rise as Anthropic falls, Poe...

AI Observer
Technology

What your tools miss at 2:13 AM: How gen AI attack...

AI Observer
Technology

AI predicts cancer outcomes from selfies

AI Observer
Technology

Using AI agents to make more realistic 3D scenes

AI Observer
Anthropic

Microsoft has announced the layoff of 3 percent of its global...

AI Observer
Anthropic

Apple has teamed up with Synchron to develop tech that lets...

AI Observer

Featured

AI Hardware

OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse...

AI Observer
News

The concerted effort of maintaining application resilience

AI Observer
News

Ericsson and AWS bet on AI to create self-healing networks

AI Observer
Legal & Compliance

Meta buys stake in Scale AI, raising antitrust concerns

AI Observer
AI Observer

OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse...

The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud infrastructure for training and inference. This reliance leads to latency,...