VHS filters work great with AI footage (WAN 2.2 + NTSC-RS)
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submitted by /u/mtrx3 [link] [comments]
Imbalanced datasets are a common challenge in machine learning.
Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline operations, and drive innovation. As generative AI workloads continue to grow in scale and importance, organizations face new challenges in maintaining consistent performance, reliability, and availability of their AI-powered applications. Customers are looking to scale their AI inference workloads across …
Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models, there’s a clear opportunity to simplify the integration. But running inference on a Spark DataFrame using a model from Vertex AI typically requires …
Read more “Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library”
The upgraded version of the Legion Go S with SteamOS makes for a nice Steam Deck upgrade.
Artificial intelligence is transforming biology and medicine by accelerating the discovery of new drugs and proteins and making it easier to design and manipulate DNA, the building blocks of life. But as with most new technologies, there is a potential downside. The same AI tools could be used to develop dangerous new pathogens and toxins …
Read more “AI could make it easier to create bioweapons that bypass current security protocols”
Disclaimer: This is my second time posting this. My previous attempt had its video quality heavily compressed by Reddit’s upload process. Remember back in the day when everyone said AI couldn’t handle hands or eyes? A couple months ago? I made this silly video specifically to put hands and eyes in the spotlight. It’s not …
Read more “Remember when hands and eyes used to be a problem? (Workflow included)”
We introduce TASER (Translation Assessment via Systematic Evaluation and Reasoning), a metric that uses Large Reasoning Models (LRMs) for automated translation quality assessment. TASER harnesses the explicit reasoning capabilities of LRMs to conduct systematic, step-by-step evaluation of translation quality. We evaluate TASER on the WMT24 Metrics Shared Task across both reference-based and reference-free scenarios, demonstrating …
Read more “TASER: Translation Assessment via Systematic Evaluation and Reasoning”
Editor’s Note: AIPCon 8, Palantir’s most recent customer conference, featured breakthrough customer implementations that demonstrate what’s possible with enterprise AI today. In part one of this two-part series, we share highlights from the afternoon’s standout demo sessions. Those who attended AIPCon 8 all walked away with a shared experience — seeing firsthand the power of transformative AI …
Read more “Inside the AIPCon 8 Demos Redefining the Future of Enterprise AI”
This post was written with Meghana Chintalapudi and Surabhi Sankhla of Kore.ai. As organizations struggle with exponentially growing volumes of data distributed across multiple repositories and applications, employees lose significant time—approximately 30% according to the International Data Corporation (IDC)—searching for information that could be spent on higher-value work. The complexity of modern enterprise data networks …
Read more “Enhance agentic workflows with enterprise search using Kore.ai and Amazon Q Business”