Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Opportunities include leveraging synthetic data, now over 50%, to enhance autonomous driving by filling long-tail scenarios. The full-process automated toolchain lowers costs and boosts efficiency, ...

"I think I deserve to know what’s being collected about me and shared with employers." The post Job Seekers Sue Company ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

LLMs change the security model by blurring boundaries and introducing new risks. Here's why zero-trust AI is emerging as the ...

We as an industry need to stop looking for "AI SMEs" and start looking for "mission strategists with AI literacy." ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Chinese firms such as Alibaba Group and Huawei Technologies have been promoting open-source AI models across Africa, ...

Patent filing follows acceptance into the NVIDIA Connect Program Proprietary software targets weather forecast-driven revenue optimization, ...

Insights emerging from a recent industrial AI forum, where Dayin Technology participated alongside leading experts, have brought renewed focus to the deepening divergence in U.S.-China artificial ...