Cheers to AI: ADAM Robot Bartender Makes Drinks at Vegas Golden Knights Game
In Las Vegas’s T-Mobile Arena, fans of the Golden Knights are getting more than just hockey — they’re getting a taste of the future. ADAM, a robot developed with NVIDIA Isaac libraries, is pouring drinks and turning heads in one of the NHL’s most exciting venues. ADAM, short for Automated Dual Arm M...
Decentralized Computation: The Hidden Principle Behind Deep Learning
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-l...
Deep learning models are based on activation functions that provide non-linearity and enable networks to learn complicated patterns. This article will discuss the Softplus activation function, what it is, and how it can be used in PyTorch. Softplus can be said to be a smooth form of the popular ReLU...
Spectral Community Detection in Clinical Knowledge Graphs
Introduction How do we identify latent groups of patients in a large cohort? How can we find similarities among patients that go beyond the well-known comorbidity clusters associated with specific diseases? And more importantly, how can we extract quantitative signals that can be analyzed, compared,...
HGC-Herd: Efficient Heterogeneous Graph Condensation via Representative Node Herding
arXiv:2512.09947v1 Announce Type: new
Abstract: Heterogeneous graph neural networks (HGNNs) have demonstrated strong capability in modeling complex semantics across multi-type nodes and relations. However, their scalability to large-scale graphs remains challenging due to structural redundancy and ...
BAMBO: Construct Ability and Efficiency LLM Pareto Set via Bayesian Adaptive Multi-objective Block-wise Optimization
arXiv:2512.09972v1 Announce Type: new
Abstract: Constructing a Pareto set is pivotal for navigating the capability-efficiency trade-offs in Large Language Models (LLMs); however, existing merging techniques remain inadequate for this task. Coarse-grained, model-level methods yield only a sparse set...
Robust Gradient Descent via Heavy-Ball Momentum with Predictive Extrapolation
arXiv:2512.10033v1 Announce Type: new
Abstract: Accelerated gradient methods like Nesterov's Accelerated Gradient (NAG) achieve faster convergence on well-conditioned problems but often diverge on ill-conditioned or non-convex landscapes due to aggressive momentum accumulation. We propose Heavy-Bal...
BBVA and OpenAI collaborate to transform global banking
BBVA is expanding its work with OpenAI through a multi-year AI transformation program, rolling out ChatGPT Enterprise to all 120,000 employees. Together, the companies will develop AI solutions that enhance customer interactions, streamline operations, and help build an AI-native banking experience....
BNY builds “AI for everyone, everywhere” with OpenAI
BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes....
How We Used Codex to Ship Sora for Android in 28 Days
OpenAI shipped Sora for Android in 28 days using Codex. AI-assisted planning, translation, and parallel coding workflows helped a nimble team deliver rapid, reliable development....
As AI Grows More Complex, Model Builders Rely on NVIDIA
Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and ...
Google’s AI try-on feature for clothes now works with just a selfie
In the past, users had to upload a full-body picture of themselves to virtually try on a piece of clothing. Now, they can use a selfie and Nano Banana will generate a full body digital version of them....
OpenAI fires back at Google with GPT-5.2 after ‘code red’ memo
OpenAI just launched GPT-5.2, a frontier model aimed at developers and professionals, pushing reasoning and coding benchmarks as it races Google’s Gemini 3 while grappling with compute costs and no generator....
The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel
Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss functions, optimization, gradients, scaling, and interpretation.
In this article, we rebuild Linear Regression in Excel, compare the closed-form solution with Gradient Descent, and see how the coefficie...