January 2026

Open-set learning and discovery (OSLD) is a challenging machine learning task in which samples from new (unknown) classes can appear at test time. It can be seen as a generalization of zero-shot learning, where the new classes are not known a priori, hence involving the active discovery of new classes. While zero-shot learning has been extensively studied in text classification, especially with the emergence of pre-trained language models, open-set learning and discovery is a comparatively new setup for […]

Ver mais

Table of links Abstract 1 Introduction 2 Background and Related Work Software Security Coding Weaknesses Security Shift-Left Modern Code Review Code Review for Software Security Security Concern Handling Process in Code Review 3 Motivating Examples 4 Case Study Design Research Questions Studied Projects Data Collection Coding Weakness Taxonomy Study Overview Security Concern Identification Approach (RQ1) Alignment Analysis of Known Vulnerabilities (RQ2) Handling Process Identification (RQ3) 5 Preliminary Analysis PA1: Prevalence of Coding Weakness Comments PA2: Preliminary Evaluation of […]

Ver mais

Table of links Abstract 1 Introduction 2 Background and Related Work Software Security Coding Weaknesses Security Shift-Left Modern Code Review Code Review for Software Security Security Concern Handling Process in Code Review 3 Motivating Examples 4 Case Study Design Research Questions Studied Projects Data Collection Coding Weakness Taxonomy Study Overview Security Concern Identification Approach (RQ1) Alignment Analysis of Known Vulnerabilities (RQ2) Handling Process Identification (RQ3) 5 Preliminary Analysis PA1: Prevalence of Coding Weakness Comments PA2: Preliminary Evaluation of […]

Ver mais

** These are ALL my ideas. LLM’s only used fo slight ‘polishing’. ** Been working on predicting sim-to-real transfer success BEFORE deploying to real hardware. The insight: successful transfers have a distinct “kinematic fingerprint” . Smooth, coordinated movements with margin for error. Failed transfers look jerky and brittle. We train a classifier on these signatures. Early results show 85-90% accuracy predicting which policies will work on real hardware, and 7x speedup when deploying to new platforms. The uncomfortable […]

Ver mais

Table of links Abstract 1 Introduction 2 Background and Related Work Software Security Coding Weaknesses Security Shift-Left Modern Code Review Code Review for Software Security Security Concern Handling Process in Code Review 3 Motivating Examples 4 Case Study Design Research Questions Studied Projects Data Collection Coding Weakness Taxonomy Study Overview Security Concern Identification Approach (RQ1) Alignment Analysis of Known Vulnerabilities (RQ2) Handling Process Identification (RQ3) 5 Preliminary Analysis PA1: Prevalence of Coding Weakness Comments PA2: Preliminary Evaluation of […]

Ver mais

New York, NY, January 15, 2026/–AlphaTON Capital Corp (NASDAQ: ATON) (“AlphaTON” or the “Company”), the world’s leading public technology company scaling the Telegram super app, with an addressable market of 1 billion monthly active users, today announced the closing of its previously announced registered direct for the purchase of an aggregate of 15,000,000 of its ordinary shares (or pre-funded warrants in lieu thereof), at a purchase price of $1.00 per ordinary share (or pre-funded warrant in lieu thereof). […]

Ver mais

As regulators tighten expectations, engineering design is becoming central to auditability and transaction reconstruction. As fintech platforms expand into lending, payments, and embedded finance, regulators and auditors are applying a sharper lens to a foundational question: can a company prove what happened in its financial system not just assert it? Recent enforcement actions and audit findings across the industry have highlighted a recurring weakness. Many fast-growing fintech stacks were built for speed and customer experience first, with accounting […]

Ver mais