5 Cutting-Edge AutoML Techniques to Watch in 2026
This article discusses five cutting-edge AutoML techniques and trends that are expected to shape the landscape of highly automated machine learning model building in the 2026 year about to start.
This article discusses five cutting-edge AutoML techniques and trends that are expected to shape the landscape of highly automated machine learning model building in the 2026 year about to start.
How to keep moving forward when your organization’s strategy is evolving and conditions keep shifting.
It’s nearly the end of 2025, and half of the US and the UK now require you to upload your ID or scan your face to watch “sexual content.” A handful of states and Australia now have various requirements to verify your age before you can create a social media account. Age-verification laws may sound straightforward to some: protect young people online by making everyone prove their age. But in reality, these mandates force users into one of […]
From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
Colleen Hroncich When millions of children struggle to sit still, focus, and conform to rigid classroom expectations, it’s become an epidemic of ADHD and other disorders. The New York Times is beginning to consider what should have been obvious all along: Maybe the problem isn’t the children. Others, including my colleague Kerry McDonald, have been raising these concerns for years. As Kerry notes, Boston College psychology Professor Peter Gray has described ADHD as a “failure to adapt to […]
Home Table of Contents KV Cache Optimization via Multi-Head Latent Attention Recap of KV Cache The Need for KV Cache Optimization Multi-Head Latent Attention (MLA) Low-Rank KV Projection Up-Projection Decoupled Rotary Position Embeddings (RoPE) RoPE in Standard MHA Challenges in MLA: The Need for Decoupling PyTorch Implementation of Multi-Head Latent Attention Multi-Head Latent Attention Toy Transformer and Inference Experiments and Analysis Summary Citation Information KV Cache Optimization via Multi-Head Latent Attention Transformer-based language models have long relied on […]
Chelsea Follett The debut of the robot butler NEO has drawn widespread ridicule. Unable to perform many chores without a remote human operator, the machine has become a target of social media backlash. Videos circulating online show the robot struggling with basic tasks, such as closing a dishwasher. , But don’t underestimate the potential of robotic housekeepers just yet. The technology is dawning at an opportune time. Consider the growing concerns about plummeting birth rates. Last year saw […]
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new […]