digitado

Intensive salmon farming is associated with high mortality rates, highlighting the need for new welfare indicators that can detect adverse conditions earlier and less invasively than many current approaches. Existing animal-based indicators used in the industry typically depend on subjective scoring and provide information mostly after welfare problems have already developed, such as emaciation, wounds, or scale loss. Preliminary data and ongoing investigation suggest that melanin-based skin pigmentation may change dynamically with stress and condition in salmonid fishes. […]

Ver mais

The pharmaceutical sector has historically been characterized by slow, costly, and uncertain innovation cycles. Creating a single drug can easily take more than a decade, and it requires billions of dollars in investment with no certain return. Novo Nordisk’s new deal with OpenAI represents a shift not only in tools but also mindset. Artificial intelligence is no longer being treated as an add-on, it’s becoming crucial to how new drugmakers do business.  This partnership comes at a time […]

Ver mais

Clustering and dimensionality reduction have been crucial topics in machine learning and computer vision. Clustering high-dimensional data has been challenging for a long time due to the curse of dimensionality. For that reason, a more promising direction is the joint learning of dimension reduction and clustering. In this work, we propose a Manifold Learning Framework that learns dimensionality reduction and clustering simultaneously. The proposed framework is able to jointly learn the parameters of a dimension reduction technique (e.g. […]

Ver mais

A digestible intro to procedural generation, occlusion maps, and ray tracing. If you don’t live under a rock, then you may have heard of the rock-climbing game PEAK. This breakout indie hit, primarily crunched out from a one-month Airbnb stay in Seoul1, has since seoul-ed over 10 million copies.2 Much of the game’s success can be attributed to its replayability. See, the goal of PEAK is to survive as you traverse six different biomes to get to the […]

Ver mais

This is Part 4 of a 4-part series on the CAP Theorem and distributed systems trade-offs. Read Part 1, Part 2, or Part 3 if you haven’t already. We’ve dedicated three posts to treating CP and AP as binary choices. etcd is CP. DynamoDB is AP. Pick a side. But that’s not how real systems work. MongoDB can be CP or AP depending on your configuration. Cassandra lets you choose per query. Even PostgreSQL, which we covered as […]

Ver mais

5,000 to 10,000 tokens. That’s what my AI agent was burning before changing a single line of frontend code. I started paying attention to this a while back. I’d ask the agent to do something small (“fix the padding on that card,” “swap this to the secondary variant”) and the actual edit would be maybe 200 tokens of real work. But the agent wouldn’t start with the edit. It would start with a search. Grepping the codebase, reading […]

Ver mais

Hi, In this series we are going to learn Rust programming language by building exciting projects per article. For every article, we will first learn some concepts and then build a mini project. I promise you these mini projects will be exciting. The only prerequisite is, you should know any one programming language like just basics of it as this series will focus on teaching rust and not programming from zero. My motive is to explain how to […]

Ver mais

A new Google Quantum AI paper shows that breaking Bitcoin’s elliptic curve signatures could require fewer than 500,000 physical qubits; that is roughly a 20x reduction from prior estimates. It is a real scientific result. But no machine with even 1% of that capacity exists today, and the paper is a resource estimate, not a timeline prediction. The actual story is that migration work is already underway, and the window to act is measured in years, not minutes.

Ver mais

Real-world decision-making systems operate in environments where state transitions depend not only on the agent’s actions, but also on textbf{exogenous factors outside its control}–competing agents, environmental disturbances, or strategic adversaries–formally, $s_{h+1} = f(s_h, a_h, bar{a}_h)+ω_h$ where $bar{a}_h$ is the adversary/external action, $a_h$ is the agent’s action, and $ω_h$ is an additive noise. Ignoring such factors can yield policies that are optimal in isolation but textbf{fail catastrophically in deployment}, particularly when safety constraints must be satisfied. Standard Constrained MDP […]

Ver mais

In Cursor, you can connect any LLM via API that is compatible with the OpenAI request format. This means you can connect Claude via API and pay for tokens. However, if you have a Claude subscription, you can only use it in Claude Code. There, the request format is Anthropic, which differs from OpenAI. You cannot take your Claude subscription and add it to Cursor because the request formats are incompatible. You cannot make requests to the Claude […]

Ver mais