On the Challenge of Converting TensorFlow Models to PyTorch
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science.
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science.
AI promises to make hiring fairer by reducing human bias. But it often reshapes what fairness means.
OpenAI is launching OpenAI for Australia to build sovereign AI infrastructure, upskill more than 1.5 million workers, and accelerate innovation across the country’s growing AI ecosystem.
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model. To anticipate the quality and accuracy of a large model’s predictions, practitioners often turn to scaling laws: using smaller, cheaper models to try to approximate […]
Gradient Canvas is a new art exhibition celebrating a decade of creative collaborations between artists and artificial intelligence.
A 65-year-old retired doorman in Queens is heading to prison next month — not for killing his attacker in self-defense, but for possessing the unlicensed firearm that saved his life. lead , In a recent op-ed titled He Held the Door for Years, But the Court Slammed One on Him, Cato scholar Mike Fox details how American juries have strayed from the founders’ intent of being the community’s conscience, in part writing: , “We have replaced community conscience with […]
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
See how different time series methods reveal the shifts, surges, and stabilization in inflation expectations.
Amazon upgrades Alexa+ with new shopping tools, turning Echo screens into hubs for orders, deals, and gift buying.
Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding on constrained hardware. The model couples a SigLIP2 vision encoder with a Qwen3 language backbone and uses an attention pooling connector to reduce visual tokens while preserving spatial structure. Among open 2B scale VLMs, it reaches state of the art results on multilingual benchmarks such as MMMB and Multilingual MMBench. https://arxiv.org/pdf/2512.04032 Architecture, overlapping tiles with attention pooling connector […]