DNB says Malaysia’s 5G experiment has not failed, arguing the 5G handover to telcos marks a new phase, not an admission of ...
Crypto's retroactive funding rewards proven impact, not promises. But Optimism's $100M experiment reveals why applying this ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
High-precision measurements from the KATRIN experiment strongly limit the existence of light sterile neutrinos and narrow the search for new physics. Neutrinos are extremely difficult to detect, yet ...
Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing ...
Zepto is testing an AI system that can place orders on Zepto Cafe on users' behalf. However, the feature isn't live on its ...
There’s no shortage of apocalyptic headlines about the future of work in the era of artificial intelligence. For workers, the ...
Abstract: The model for simulating the dynamic radar echo from wind turbines plays an important role in enhancing the radar antijamming capabilities of radar. However, the extensively used scattering ...
Human induced pluripotent stem cells (hiPSCs) are crucial for cell therapy and regenerative medicine. The development of high-yield and stable mass-culture technologies is essential for the ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback