Dave Plummer, the former Microsoft engineer who created the original 1996 Windows Task Manager, has released new versions for Windows, Mac, and Linux, built largely through AI-assisted 'vibe coding' w…
Cato Networks Ltd.'s Cato CTRL threat research team reported a macOS attack campaign using a fake OpenAI Codex installer that tricks victims into pasting a malicious command into Terminal, a social en…
The U.S. violent-crime rate plunged 9.7% in 2025, the largest annual decline since FBI national estimates began 90 years ago, with the murder rate falling 18.5% to 4.1 per 100,000 people, tying 1955 a…
A practical approach to unsupervised classification of IP-level network data is presented, using HDBSCAN and K-Means to distinguish consumer brands sharing an ASN. The method leverages DNS resolver IP…
A Towards AI investigation by Emmanuel Nwangura, running 833 tests across 6 AI models, found that a widely sold 'strict enforcement' fix for AI output constraints mostly fails in production, often wor…
The Model Context Protocol (MCP) 2026-07-28 release removed 13 of its 31 methods, yet the schema grew by about 48% due to expanded documentation and required per-message envelope metadata that replace…
An educational article on Towards AI reinterprets matrices as tools for translating between different perceptions of space, using a story about giving directions to explain vectors and spanning vector…
Michael Burry, the investor known for betting against the U.S. housing market, has sold his entire Alibaba stake and moved it into JD.com, saying he no longer plans to switch back. Burry's decision fo…
Armin Norouzi, Ph.D., writing for Towards AI, proposes a four-layer evaluation stack to predict production quality of large language models, arguing that surface metrics like BLEU and ROUGE correlate …
Researchers trained machine learning models to predict which Hamiltonian decomposition—standard Pauli or matching—yields fewer CX gates for continuous-time quantum walk simulations, achieving a Matthe…
Researchers introduced Harmony, a harmonic torsional diffusion framework for flexible protein-ligand docking, which parameterizes ligand and side-chain torsional score fields as derivatives of learned…
A new arXiv study (2608.21345v1) presents the first stage-wise model size analysis of self-refinement pipelines, testing 6 model sizes of Qwen3 and 4 model sizes of Gemma 3 across 5 benchmarks. The re…
Researchers propose CM-RED, a new MRI reconstruction method that integrates a pretrained consistency model into the regularization by denoising (RED) scheme, achieving high-quality reconstructions on …
A new theoretical study establishes minimax optimality for score-entropy discrete diffusion (SEDD), a discrete diffusion model used for generating natural language and graph-structured data. The resea…
Researchers introduced NeuroStrata, a connectivity-aware deep representation learning framework for EEG-based mental stress analysis, achieving a peak accuracy of 97.3% using the LAION-CLIP-ViT-L14 ba…
Researchers at arXiv introduced a hybrid model combining an N-dimensional Langevin equation with a neural-ordinary differential equation to forecast non-stationary electricity day-ahead prices, tested…
Researchers introduced TracingFlow, a simulation-free Flow Matching framework that generalizes to second-order dynamics by regressing acceleration fields with neural networks, providing an exact solut…
AstraZeneca researchers developed an LLM-as-a-Judge evaluation framework for ChatInvent, an agentic drug discovery assistant, achieving human-aligned scoring with a majority-vote agreement of 0.86 aft…
Researchers introduced RODE, a matrix-aware optimizer that decouples radial and directional updates, outperforming Muon variants across language modeling and image classification tasks. At 1.5B scale,…
Researchers introduced a neurosymbolic framework that uses large language models (LLMs) as adaptive proposal distributions to generate causal hypotheses for adverse pregnancy outcomes (APOs), scoring …