DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
The Business Times

With AI, it’s not about coding better; workers need to think better: Koh Boon Hwee

The tech and investment veteran says humans must bring soft skills to the table and let AI handle the facts Read more at The ...

20 Incredibly Useful Things You Didn’t Know Google’s Gemini AI Could Do

From writing spreadsheet formulas to decoding product manuals, there’s no limit to the ways Google’s AI bot can help you out.

Explained: How China is narrowing the AI gap with the US one model at a time

Just when the AI industry’s attention seemed fixed on OpenAI, Google and Anthropic, a new Chinese model has stolen the ...
EE World Online

Why small language models win at the Edge

By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Dark Reading

And the Winner in Dominant Malware Delivery? ClickFix

Researchers say the highly effective social engineering technique is no longer the exception for malware attacks — it's now the rule.

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

5 More AI Predictions For The Year 2030

Two years ago, we published a list of 5 predictions about AI in the year 2030. The article sparked a lot of fascinating (and ...