Bioelectrical properties of cells such as relative permittivity, conductivity, and characteristic time constants vary significantly between healthy and malignant cells across different frequencies. These distinctions provide a promising foundation for diagnostic and classification applications. This study systematically reviewed 33 scholarly articles to compile datasets of quantitative bioelectric parameters and evaluated their utility in predictive modeling. Three supervised machine learning algorithms- Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) were implemented and tuned using key hyperparameters […]

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arXiv:2601.01679v1 Announce Type: new Abstract: We revisit Deep Linear Discriminant Analysis (Deep LDA) from a likelihood-based perspective. While classical LDA is a simple Gaussian model with linear decision boundaries, attaching an LDA head to a neural encoder raises the question of how to train the resulting deep classifier by maximum likelihood estimation (MLE). We first show that end-to-end MLE training of an unconstrained Deep LDA model ignores discrimination: when both the LDA parameters and the encoder parameters are […]

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Clark Packard Last week, Disney+ released a restored version of The Beatles Anthology, the landmark 1995 ABC eight-part documentary series that remains the closest thing to a definitive account of the band’s extraordinary journey. I binge-watched the updated Anthology over the Thanksgiving holiday weekend, which brought back memories of watching the original with my parents 30 years ago. Now I’m the parent, though my wife and four-year-old son were less enthusiastic about the marathon viewing sessions. Last year, I […]

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Machine learning models are increasingly used in high-stakes domains where their predictions can actively shape the environments in which they operate, a phenomenon known as performative prediction. This dynamic, in which the deployment of the model influences the very outcome it seeks to predict, can lead to unintended consequences, including feedback loops, performance issues, and significant societal risks. While the literature in the field has grown rapidly in recent years, a socio-technical synthesis that systemises the phenomenon concepts […]

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Hello, Since Awaiting bits is a newborn blog, I decided to take this opportunity to present myself as well as the purpose of this blog. About me My name is Zanid Haytam and I was born in 1997. I have been programming since the age of 13 and never looked back since.

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is a foundational book that defines cybernetics as the “science of control and communication in the animal and the machine”. It serves as the first textbook on the subject, laying out its basic principles for an audience of physiologists, psychologists, and sociologists. The book covers topics like information theory, control theory, and the application of these principles to biological systems.

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arXiv:2506.01722v3 Announce Type: replace-cross Abstract: We consider the problem setting of prediction with expert advice with possibly heavy-tailed losses, i.e. the only assumption on the losses is an upper bound on their second moments, denoted by $theta$. We develop adaptive algorithms that do not require any prior knowledge about the range or the second moment of the losses. Existing adaptive algorithms have what is typically considered a lower-order term in their regret guarantees. We show that this lower-order […]

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Both Google and Apple are cramming new AI features into their phones and other devices, and neither company has offered clear ways to control which apps those AI systems can access. Recent issues around WhatsApp on both Android and iPhone demonstrate how these interactions can go sideways, risking revealing chat conversations beyond what you intend. Users deserve better controls and clearer documentation around what these AI features can access. After diving into how Google Gemini and Apple Intelligence […]

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Key Highlights: These days, the internet is full of AI Slop, thanks to easily accessible AI audio/image/video generation tools. For those unfamiliar with the term, AI Slop is an internet slang used for low-quality, mass-produced AI content. Most social media platforms, including TikTok and others are filled with numerous nonsensical AI content. If you use TikTok and live in the EU, you may have come across a bunch of AI-generated videos promoting Poland’s exit from the European Union. […]

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