Alphabet tops $100B quarterly revenue for first time, cloud grows 34%
Alphabet achieved a historic milestone with quarterly revenue surpassing $100 billion, reporting $102.35 billion, driven by a 34% growth in its cloud unit, which now has a $155 billion backlog of customer demand.
Language Models Are Injective and Hence Invertible
Transformer language models are proven to be injective, meaning they can uniquely map discrete input sequences to continuous representations without loss, a property maintained throughout training.
NLP conferences look like a scam..
NLP conference papers often lack theoretical justification, with 90% of reviewed papers failing to provide solid foundations, while the remaining 10% mislabel findings as theorems under unrealistic assumptions.
Extropic is building thermodynamic computing hardware
Extropic introduces thermodynamic computing, a groundbreaking approach that leverages thermodynamic principles to enhance computational efficiency and performance, as showcased in their launch video.
How the U.S. National Science Foundation Enabled Software-Defined Networking
NSF's investments in Software-Defined Networking (SDN) over two decades have fundamentally transformed network design, enabling greater control and flexibility for network owners, which has led to innovations in both public and private sectors.
Video‐rate tunable colour electronic paper with human resolution
Retina E-paper technology achieves ultra-high resolutions exceeding 25,000 pixels per inch (PPI) using electrochromic WO3 metapixels, enabling dynamic control over optical properties for immersive displays.
FastJAM: a Fast Joint Alignment Model for Images (NeurIPS 2025)
FastJAM introduces a lightweight graph-based framework for joint image alignment, achieving results in seconds compared to the hours required by previous methods, utilizing sparse keypoints and graph neural networks (GNNs) for enhanced efficiency.
The Laplace Perceptron: A Complex-Valued Neural Architecture for Continuous Signal Learning and Robotic Motion
The Laplace Perceptron introduces a novel approach to temporal signal learning and robotic control by utilizing complex-valued damped harmonics, enhancing both signal representation and optimization efficiency.
Update on DynaMix: Revised paper & code (Julia & Python) now available
The revised paper on DynaMix, focusing on foundation models for dynamical systems, is now available, along with the complete code base in Julia and Python for practical implementation (arXiv, GitHub).
Accelerating discovery with the AI for Math Initiative
The AI for Math Initiative unites five prestigious research institutions to leverage AI in advancing mathematical research, aiming to identify and solve complex mathematical problems through innovative collaboration.
Into the Omniverse: Open World Foundation Models Generate Synthetic Worlds for Physical AI Development
**NVIDIA's updates to Cosmos enable the generation of physically based synthetic data at scale, crucial for training physical AI models in dynamic environments.
BambooKG: A Neurobiologically-inspired Frequency-Weight Knowledge Graph
BambooKG introduces a frequency-weighted knowledge graph that enhances multi-hop reasoning by incorporating non-triplet edges, addressing limitations in traditional knowledge graphs.
ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents
ALDEN enhances vision-language models (VLMs) by enabling them to actively navigate and gather evidence from long, complex documents, overcoming limitations of traditional fixed reasoning templates.