Revisiting k-Means: 3 Approaches to Make It Work Better
The k-means algorithm is a cornerstone of unsupervised machine learning, known for its simplicity and trusted for its efficiency in partitioning data into a predetermined number of clusters.
Accenture scales video analysis with Amazon Nova and Amazon Bedrock Agents
This post was written with Ilan Geller, Kamal Mannar, Debasmita Ghosh, and Nakul Aggarwal of Accenture. Video highlights offer a powerful way to boost audience engagement and extend content value for content publishers. These short, high-impact clips capture key moments that drive viewer retention, amplify reach across social media, reinforce brand identity, and open new …
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Build with more flexibility: New open models arrive in the Vertex AI Model Garden
In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in Vertex AI Model Garden. Following the addition of Llama 4 models earlier this year, we are announcing DeepSeek R1 is available for everyone …
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Claude Code revenue jumps 5.5x as Anthropic launches analytics dashboard
Anthropic has launched a powerful analytics dashboard for its Claude Code AI assistant, giving engineering leaders real-time insights into developer productivity, tool usage, and ROI on AI coding investments.Read More
Can US Measles Outbreaks Be Stopped?
The US almost lost its measles elimination status once. Lessons from that episode suggest it will be more difficult to avoid doing so now.
Robots now grow and repair themselves by consuming parts from other machines
Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.
I’ve made some sampler comparisons. (Wan 2.1 image generation)
Hello, last week I shared this post: Wan 2.1 txt2img is amazing!. Although I think it’s pretty fast, I decided to try different samplers to see if I could speed up the generation. I discovered very interesting and powerful node: RES4LYF. After installing it, you’ll see several new sampler and scheluder options in the KSampler. …
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Discussing Decision Trees: What Makes a Good Split?
It’s no secret that most advanced artificial intelligence solutions today are predominantly based on impressively powerful and complex models like transformers, diffusion models, and other deep learning architectures.
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
We revisit the problem of secure aggregation of high-dimensional vectors in a two-server system such as Prio. These systems are typically used to aggregate vectors such as gradients in private federated learning, where the aggregate itself is protected via noise addition to ensure differential privacy. Existing approaches require communication scaling with the dimensionality, and thus …
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Behind the Streams: Live at Netflix. Part 1
Behind the Streams: Three Years Of Live at Netflix. Part 1. By Sergey Fedorov, Chris Pham, Flavio Ribeiro, Chris Newton, and Wei Wei Many great ideas at Netflix begin with a question, and three years ago, we asked one of our boldest yet: if we were to entertain the world through Live — a format almost as old as …