DeepSeek's latest technical paper, co-authored by the firm's founder and CEO Liang Wenfeng, has been cited as a potential ...

The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...

The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and interaction capabilities, with stretchable multimodal tactile sensors serving as ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of these environments lack natural or artificial light, making it difficult for ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...