Abstract: Modern vehicles are increasingly vulnerable to cyber-attacks due to the lack of encryption and authentication in the Controller Area Network, which coordinates communication between ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
This codebase is the implementation of the GNN-RNN model (AAAI 2022) for crop yield prediction in the US. GNN-RNN is the first machine learning method that embeds geographical knowledge in crop yield ...
BrainMass is a Python library for whole-brain computational modeling using differentiable neural mass models. Built on JAX for high-performance computing, it provides tools for simulating brain ...
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