Welcome to M5BMachine 5-Minute Briefing

The idea that AI agents need ‘eyes’ – real visual information from the real world, and not just paperwork and dashboards, have become a marker of advancement in construction technology. Yet mostly what has been referred to as an “agent” today is not actually acting based on what it sees. It narrates...

If you’ve ever faced the challenge of extracting Exchange mailboxes data from an offline EDB file, you know how painful the process can be. PowerShell cmdlets fail, native tools have limitations, and the risk of data loss is always looming. That’s exactly where Stellar Converter for EDB steps in and...

Benchmarking Gemma-3-4B, MiniCPM-o 2.6, and Qwen2.5-VL-7B-Instruct for latency, throughput, and scalability.

Benchmarking Gemma-3-4B, MiniCPM-o 2.6, and Qwen2.5-VL-7B-Instruct for latency, throughput, and scalability.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

Deploy Public MCP servers as an API endpoint and integrate its tools into LLM workflows using function calling.

A practical guide to choosing the right open-source LLM for production based on workload type, infrastructure limits, cost, and real-world performance.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

As artificial intelligence (AI) and Internet of Things (IoT) accelerate the pace of discovery, research teams are grappling with an unprecedented surge in data volume, velocity and complexity. What once could be validated through manual checks now spans millions of records, diverse sources and autom...

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.