Nearly a year has passed since the last update. In order to at least partially rectify this situation, I am planning to publish a series of posts describing what have I been up to during that time. A natural place to start then is the final year of Computer Science undergraduate degree (also known as CST Part II) at Cambridge. CST Part II undoubtedly offers a largest amount of flexibility out of all years of the Tripos. Three […]
arXiv:2603.25930v1 Announce Type: new Abstract: With the rapid advancement of AI in code generation, cybersecurity detection engineering faces new opportunities to automate traditionally manual processes. Detection authoring — the practice of creating executable logic that identifies malicious activities from security telemetry — is hindered by fragmented code across repositories, duplication, and limited organizational visibility. Current workflows remain heavily manual, constraining both coverage and velocity. In this paper, we introduce AVDA, a framework that leverages the Model Context Protocol […]
Accurately upscaling terrestrial carbon fluxes is central to estimating the global carbon budget, yet remains challenging due to the sparse and regionally biased distribution of ground measurements. Existing data-driven upscaling products often fail to generalize beyond observed domains, leading to systematic regional biases and high predictive uncertainty. We introduce Task-Aware Modulation with Representation Learning (TAM-RL), a framework that couples spatio-temporal representation learning with knowledge-guided encoder-decoder architecture and loss function derived from the carbon balance equation. Across 150+ flux […]
If you have struggled a bit to keep up with open-weight model releases this month, this article should catch you up on the main themes. In this article, I will walk you through the ten main releases in chronological order, with a focus on the architecture similarities and differences: Arcee AI’s Trinity Large (Jan 27, 2026) Moonshot AI’s Kimi K2.5 (Jan 27, 2026) StepFun Step 3.5 Flash (Feb 1, 2026) Qwen3-Coder-Next (Feb 3, 2026) z.AI’s GLM-5 (Feb 12, […]
arXiv:2603.23660v1 Announce Type: new Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithms in Heads-Up No-Limit Texas Hold’em (HUNL). The benchmark evaluates agents against GTO Wizard AI, a state-of-the-art superhuman poker agent that approximates Nash Equilibria, and defeated Slumbot, the 2018 Annual Computer Poker Competition champion and previous strongest publicly accessible HUNL benchmark, by $19.4$ $pm$ $4.1$ bb/100. Variance is a fundamental challenge in poker evaluation; we address this by integrating […]
This post was co-written with Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations drive community engagement, manage donations, and strengthen generosity fundraising processes efficiently. Pushpay’s church management system provides church administrators and ministry leaders with insight-driven reporting, donor development dashboards, and automation of financial workflows. Using the power of generative AI, Pushpay developed an innovative agentic AI search feature built for the unique needs of […]
The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]
Harmful algal blooms (HABs) can threaten coastal infrastructure, fisheries, and desalination dependent water supplies. This project (REDNET-ML) develops a reproducible machine learning pipeline for HAB risk detection along the Omani coastline using multi sensor satellite data and non leaky evaluation. The system fuses (i) Sentinel-2 optical chips (high spatial resolution) processed into spectral indices and texture signals, (ii) MODIS Level-3 ocean color and thermal indicators, and (iii) learned image evidence from object detectors trained to highlight bloom like […]
arXiv:2511.19525v2 Announce Type: replace-cross Abstract: Deep neural networks are prone to learning shortcuts, spurious correlations present in the training data that undermine out-of-distribution (OOD) generalization. Most prior work mitigates shortcut learning through input-space reweighting, either relying on explicit shortcut labels or inferring shortcut structure from heuristics such as per-sample loss. Moreover, these approaches typically assume the presence of some shortcut-conflicting examples in the training set, an assumption that is often violated in practice, particularly in medical imaging where […]
Anthropic submitted two sworn declarations to a California federal court late Friday afternoon, pushing back on the Pentagon’s assertion that the AI company poses an “unacceptable risk to national security” and arguing that the government’s case relies on technical misunderstandings and claims that were never actually raised during the months of negotiations.