From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale
Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Gugl...
Improving synthesis prediction of small molecules at scale with RetroChimera
Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules.
The post Improving synth...
Exploring TypeSafe's Jev and comparing it with OpenAI on intent classification
The post A New Kind of Model for AI Decision-Making? appeared first on Towards Data Science.
From first users to billions: Google’s Robby Stein joins TechCrunch Disrupt 2026
From first users to billions: Google’s Robby Stein joins TechCrunch Disrupt 2026. Lean in on this Builders Stage session. Save up to $200 before Sept 25.
GPT-6 Astra Just Hit OpenAI's Highest Cybersecurity Risk Level
Why this matters less for what Astra can do and more for what every other model hasn't been tested for
The post GPT-6 Astra Just Hit OpenAI's Highest Cybersecurity Risk Level appeared first on Towards Data Science.
OpenAI Model Misalignment Explained Through Six Real Incidents
What would an AI agent do when a required file is missing or an API refuses access? The expected response is to explain the limitation… essentially, coming out with it. OpenAI’s latest disclosures shed light in another direction. Models sometimes take another route: hiding failures, using credential...
The Roadmap to Mastering LLM Inference Optimization
In this article, you will learn how LLM inference optimization works and which techniques to apply to make language models faster, cheaper, and more reliable...
Advisory Group on Mathematics and Artificial Intelligence
OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.
Your AI Assistant Wrote the Code. Who Checked the Defaults?
Five scikit-learn defaults that deserve a closer look before your next model reaches production
The post Your AI Assistant Wrote the Code. Who Checked the Defaults? appeared first on Towards Data Science.
Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers. At New York Climate Week, NVIDIA is highlighting five companies pio...
BI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence
arXiv:2609.20886v1 Announce Type: new
Abstract: Business intelligence (BI) is a cornerstone of enterprise decision-making and is widely used by enterprise users in software such as Power BI and Tableau. In traditional BI workflows, users need to prepare data by (1) identifying relevant tables, (2) ...
Elastic Threshold Attention: Learned Contextual Sparsity for Long-Context Decoding
arXiv:2609.20888v1 Announce Type: new
Abstract: Massive KV caches can cause severe memory-bandwidth bottlenecks during long-context decoding. Sparse attention methods mitigate this via selective loading, but that comes at a cost: rigid heuristics drop necessary context, leading to quality degradati...
Continuous Delayed-Memory Stochastic Gradient Descent and Continuous-Time Reinforcement Learning from History of Astrophysical Time Series Studies
arXiv:2609.20906v1 Announce Type: new
Abstract: Quasars are luminous objects in the universe that exhibit stochastic brightness variations encoding information about the supermassive black holes powering them, and modeling these variations from ground-based survey data time series, known as light c...
RBS-Attention: Radius-Bounded Sparse Prefill for Long-Context Large Language Models
arXiv:2609.20971v1 Announce Type: new
Abstract: Long-context large language model inference is increasingly limited by prefill, where dense self-attention processes the entire prompt before generation begins. Sparse block selection can reduce this cost, but a block centroid may hide a highly releva...
Attention-Aware Routing: Coupling Routing and Attention in MoEs
arXiv:2609.20974v1 Announce Type: new
Abstract: In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual information. We propose Attention-Aware Routing (AAR), which augments the router with temporal and ...
CaLR: Causal Latent Revision for Robust Diffusion Reasoning
arXiv:2609.20981v1 Announce Type: new
Abstract: Autoregressive (AR) models suffer from local greediness, while diffusion language models (DLMs) often lack the strict causal structure required for reasoning. To combine the advantages and overcome the drawbacks of the dual, we propose Causal Latent R...
Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing
arXiv:2609.21096v1 Announce Type: new
Abstract: In this work, we examine the topology of information flow patterns within attention graphs to effectively distinguish hallucinated from non-hallucinated responses. We analyze the Forman-Ricci curvature to identify structural patterns indicating inform...
Flet 1.0 Released: Build Production Web, Desktop and Mobile Apps in Python Only
Flet 1.0 shipped on September 15, 2026, and the team now calls the framework ready for production apps. We look at what changed: a layered CI suite that drives packaged apps on real devices, bundled Python 3.12, 3.13 and 3.14, more than 100 mobile ready packages, faster control diffing, and dart-bri...