Tesla’s Full Self-Driving system relies on autoregressive transformers to predict and navigate complex driving scenarios.

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Gordon Scott has been an active investor and technical analyst or 20+ years. He ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

What’s happened? Nvidia’s DGX Spark is here and is being billed as the world’s smallest AI supercomputer. With the GB10 Grace Blackwell Superchip inside, it delivers up to 1 petaFLOP of compute, 128 ...

According to @krea_ai, the company has open-sourced Krea Realtime, a 14 billion parameter autoregressive AI model that is 10 times larger than any other open-source equivalent. This breakthrough model ...

Abstract: Recent advances in zero-shot text-to-speech (TTS) synthesis have achieved high-quality speech generationfor unseen speakers, but most systems remain unsuitable for real-time applications ...

Although much is known about the molecular components of cellular signaling pathways, very little is known about how these multicomponent biochemical machineries process complex extracellular signals ...

Abstract: Online tool wear condition monitoring (TCM) is a crucial foundation for intelligent milling. For practical application, TCM should be carried out without disturbing the milling process. The ...

torchrun --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr=localhost --master_port=... train.py --bs=2048 --ep=1000 --fp16=1 --wpe=0.01 --data_path=... --vae ...

In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.