Part 2 of this series on ethical AI looks at operationalizing trust with the clear prompting framework and robust data ...
Fragmented data exchange remains one of the biggest obstacles to digital freight transport. The Open Logistics Foundation ...
New method to tune LLMs is RLMF, reinforcement learning with metacognitive feedback. It is akin to RLAIF and somewhat like ...
Amid turbulence in the Middle East, economic performance has now diverged sharply across regions globally. Read more here.
Chinese company Moonshot AI released a new version of its Kimi model this week, prompting concern about "full AI communism." ...
The shortage of high-quality CAD datasets has slowed AI design tools. MIT researchers may have found a way around that ...
Fireworks AI CEO Lin Qiao explains why private enterprise data and open models are key to building cheaper, faster and more ...
Enterprises trust their AI models because they are trained on hundreds of millions of data points, sailing through benchmarks ...
Engineers often use vision-language models to produce new designs, such as airplane or automobile components. To simulate how ...
It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...
Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.
CRN has put together some of the biggest generative AI news stories to emerge so far in 2026 to help cut through the noise around AI and identify what solution providers need to focus on. From ...
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