In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation. Machine …
Artificial intelligence is reshaping our world – accelerating discovery, optimising systems, and unlocking new possibilities across every sector. But with its vast potential comes a shared responsibility. AI can be a powerful ally for transforming businesses and reducing cost. It can help organizations minimize carbon emissions, industries manage energy use, and scientists model complex climate …
Google Cloud has introduced a big update in a bid to keep AI developers on its Vertex AI platform for concepting, designing, building, testing, deploying and modifying AI agents in enterprise use cases. The new features, announced today, include additional governance tools for enterprises and expanding the capabilities for creating agents with just a few …
The US government is aiming to ease the pressure on air traffic controllers suffering shutdown-related woes by curtailing flights. But airlines have experience with this kind of sudden disruption.
USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence.
A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be used to evaluate human-centric computer vision tasks to identify and …
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Understanding machine learning models is a vital aspect of building trustworthy AI systems.
We introduce Representation Tokenizer (RepTok), a generative modeling framework that represents an image using a single continuous latent token obtained from self-supervised vision transformers. Building on a pre-trained SSL encoder, we fine-tune only the semantic token embedding and pair it with a generative decoder trained jointly using a standard flow matching objective. This adaptation enriches …
Read more “Adapting Self-Supervised Representations as a Latent Space for Efficient Generation”
Supercharging the ML and AI Development Experience at Netflix with Metaflow Shashank Srikanth, Romain Cledat Metaflow — a framework we started and open-sourced in 2019 — now powers a wide range of ML and AI systems across Netflix and at many other companies. It is well loved by users for helping them take their ML/AI workflows from prototype to production, allowing …
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