In 2023, AI tools are incredibly versatile, encouraging content creators, designers, programmers, and even business owners to use them to achieve their professional goals. Artificial intelligence tools help businesses and individuals to automate processes, make more informed decisions, and improve efficiency. They can analyze large amounts of data quickly and accurately, identify patterns and insights that may not be immediately apparent to humans, and provide recommendations based on that analysis. In this article, we will share some of […]

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By Michael Nielsen Attention conservation notice: Rough notes, very rapidly written, by an interested non-expert outsider. Rich Sutton is an expert on neural networks at the University of Alberta and DeepMind. He’s written a stimulating essay describing what he calls “the bitter lesson”: in AI research it’s extremely seductive to try to build expert domain knowledge into the systems you’re creating, but, according to Sutton, this approach gets beaten again and again by methods leveraging brute force computation, […]

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Vanessa Larco, partner at Premise and former partner at NEA, thinks 2026 will finally be the year of consumer AI.  Larco, who’s been investing in consumer and prosumer for years, thinks we’re about to see a shift in how consumers spend time online, with AI powering “concierge-like” services. The question is, will legacy consumer products like WebMD and […]

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Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparsely distributed in space. A small number of projections from lower dimensional NMR spectra are used to reconstruct the multi-dimensional NMR spectra. We propose an efficient algorithm which employs a blocked Gibbs sampler to accurately reconstruct NMR spectra. This statistical method generates samples in Bayesian scheme. Our proposed algorithm is tested on a set of six […]

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Google and Apple are one of the top rivals in the tech industry. In the past, both companies have fired shot at each other through their software, smartphones or ecosystems. However, there’s one department in which Google is absolutely dominating Apple. Well, I’m talking about AI here. Apple’s AI effort has been a flop all this while. The company’s latest iPhone come with some sprinkle of AI features, but they are nowhere when it comes to Gemini. Apple […]

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arXiv:2601.04198v1 Announce Type: new Abstract: Prediction error and maximum likelihood methods are powerful tools for identifying linear dynamical systems and, in particular, enable the joint estimation of model parameters and the Kalman filter used for state estimation. A key limitation, however, is that these methods require solving a generally non-convex optimization problem to global optimality. This paper analyzes the statistical behavior of local minimizers in the special case where only the Kalman gain is estimated. We prove that […]

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arXiv:2601.05975v1 Announce Type: cross Abstract: We propose DeePM (Deep Portfolio Manager), a structured deep-learning macro portfolio manager trained end-to-end to maximize a robust, risk-adjusted utility. DeePM addresses three fundamental challenges in financial learning: (1) it resolves the asynchronous “ragged filtration” problem via a Directed Delay (Causal Sieve) mechanism that prioritizes causal impulse-response learning over information freshness; (2) it combats low signal-to-noise ratios via a Macroeconomic Graph Prior, regularizing cross-asset dependence according to economic first principles; and (3) it […]

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arXiv:2601.04260v1 Announce Type: new Abstract: Understanding how Large Language Models (LLMs) perform logical reasoning internally remains a fundamental challenge. While prior mechanistic studies focus on identifying taskspecific circuits, they leave open the question of what computational strategies LLMs employ for propositional reasoning. We address this gap through comprehensive analysis of Qwen3 (8B and 14B) on PropLogic-MI, a controlled dataset spanning 11 propositional logic rule categories across one-hop and two-hop reasoning. Rather than asking ”which components are necessary,” we […]

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