March 2026

Simplifying expressions in SymPy

Simplifying expressions in SymPy

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The previous post looked at why Mathematica does not simplify the expression Sinh[ArcCosh[x]] the way you might think it should. This post will be a sort of Python analog of the previous post. SymPy is a Python library that among other things will simplify mathematical expressions. As before, we seek to verify the entries in the table below, this time using SymPy. Here’s the code: from sympy import * x = symbols(‘x’) print( simplify(sinh(asinh(x))) ) print( simplify(sinh(acosh(x))) ) […]

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Gemini burrows deeper into Google Workspace with revamped document creation and editing

Gemini burrows deeper into Google Workspace with revamped document creation and editing

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Google didn’t waste time integrating Gemini into its popular Workspace apps, but those AI features are now getting an overhaul. The company says its new Gemini features for Drive, Docs, Sheets, and Slides will save you from the tyranny of the blank page by doing the hard work for you. Gemini will be able to create and refine drafts, stylize slides, and gather context from across your Google account. At this rate, you’ll soon never have to use […]

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Code Ships in Minutes. Everything Else Takes Weeks.

Code Ships in Minutes. Everything Else Takes Weeks.

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Author(s): Know-Island Originally published on Towards AI. AI 100x’d the speed of writing code. We’ve done nothing about the 3 days it takes to review, build, approve, and deploy it. AI can write a feature in 3 minutes. Then you wait 2 days for someone to review it. AI compressed the coding bar to almost nothing. Everything else didn’t move.The article discusses the growing disparity between the speed of AI-generated code and the lengthy processes that follow, such […]

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Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock

Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock

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This post is cowritten by David Stewart and Matthew Persons from Oumi. Fine-tuning open source large language models (LLMs) often stalls between experimentation and production. Training configurations, artifact management, and scalable deployment each require different tools, creating friction when moving from rapid experimentation to secure, enterprise-grade environments. In this post, we show how to fine-tune a Llama model using Oumi on Amazon EC2 (with the option to create synthetic data using Oumi), store artifacts in Amazon S3, and […]

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Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning

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Reinforcement Learning with Verifiable Rewards (RLVR) improves reasoning in large language models but treats all correct solutions equally, potentially reinforcing flawed traces that get correct answers by chance. We observe that better reasoning are better teachers: high-quality solutions serve as more effective demonstrations than low-quality ones. We term this teaching ability Demonstration Utility, and show that the policy model’s own in-context learning ability provides an efficient way to measure it, yielding a quality signal termed Evidence Gain. To […]

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A Survey of Weight Space Learning: Understanding, Representation, and Generation

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Neural network weights are typically viewed as the end product of training, while most deep learning research focuses on data, features, and architectures. However, recent advances show that the set of all possible weight values (weight space) itself contains rich structure: pretrained models form organized distributions, exhibit symmetries, and can be embedded, compared, or even generated. Understanding such structures has tremendous impact on how neural networks are analyzed and compared, and on how knowledge is transferred across models, […]

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Exploiting Label-Aware Channel Scoring for Adaptive Channel Pruning in Split Learning

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Split learning (SL) transfers most of the training workload to the server, which alleviates computational burden on client devices. However, the transmission of intermediate feature representations, referred to as smashed data, incurs significant communication overhead, particularly when a large number of client devices are involved. To address this challenge, we propose an adaptive channel pruning-aided SL (ACP-SL) scheme. In ACP-SL, a label-aware channel importance scoring (LCIS) module is designed to generate channel importance scores, distinguishing important channels from […]

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A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines

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Accurate forecasting of financial market volatility is crucial for risk management, option pricing, and portfolio optimization. Traditional econometric models and classical machine learning methods face challenges in handling the inherent non-linear and non-stationary characteristics of financial time series. In recent years, the rapid development of quantum computing has provided a new paradigm for solving complex optimization and sampling problems. This paper proposes a novel hybrid quantum-classical computing framework aimed at combining the powerful representation capabilities of classical neural […]

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sinh( arccosh(x) )

sinh( arccosh(x) )

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I’ve written several posts about applying trig functions to inverse trig functions. I intended to write two posts, one about the three basic trig functions and one about their hyperbolic counterparts. But there’s more to explore here than I thought at first. For example, the mistakes that I made in the first post lead to a couple more posts discussing error detection and proofs. I was curious about how Mathematica would handle these identities. Sometimes it doesn’t simplify […]

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Ig Nobels ceremony moves to Europe over security concerns

Ig Nobels ceremony moves to Europe over security concerns

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Every year, we have a blast covering a fresh crop of winners of the Ig Nobel prizes. After 35 years in Boston, the annual prize ceremony will take place in Zurich, Switzerland, this year and will continue to be held in a European city for the foreseeable future. The reason: concerns about the safety of international travelers, who are increasingly reluctant to travel to the US to participate. “During the past year, it has become unsafe for our […]

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