As technology advances, and the demand for faster, higher-bandwidth, and more energy-efficient data processing continues to grow, scientists and engineers search for ways to improve electronic systems. One avenue they have been exploring is optoelectronics—the study and application of electronic devices that interface with light by detecting, emitting, or converting it into electrical signals.
I’ll try to keep this as short as possible, but me and a team of people have been working to create an entirely uncensored open source video gen model. We’ve taken one shot at this before, but weren’t happy with results. We saw ltx 2.3 come out, and thought it was the perfect opportunity. Trained …
TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression to large language models (LLMs) and vector search engines — an indispensable element of RAG systems.
Normalizing flows (NFs) are end-to-end likelihood-based generative models for continuous data, and have recently regained attention with encouraging progress on image generation. Yet in the video generation domain, where spatiotemporal complexity and computational cost are substantially higher, state-of-the-art systems almost exclusively rely on diffusion-based models. In this work, we revisit this design space by presenting …
Read more “STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows”
The National Health Service (NHS) has delivered universal healthcare to an entire nation for over 75 years. With 1.5 million staff providing care to approximately 57 million patients across hundreds of hospital trusts — using decades old legacy infrastructure — the NHS is one of the most operationally complex organisations on earth. For most of its history, the NHS has …
Read more “Ready, Set, Build with the NHS Federated Data Platform”
Large language models (LLMs) now drive the most advanced conversational agents, creative tools, and decision-support systems. However, their raw output often contains inaccuracies, policy misalignments, or unhelpful phrasing—issues that undermine trust and limit real-world utility. Reinforcement Fine‑Tuning (RFT) has emerged as the preferred method to align these models efficiently, using automated reward signals to replace …
Welcome to the second Cloud CISO Perspectives for April 2026. Today, Francis deSouza, COO Google Cloud and President, Security Products, explains why Google is multicloud and multi-AI, straight from Next ‘26. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the …
Read more “Cloud CISO Perspectives: At Next ‘26, why we’re multicloud and multi-AI”
Messages presented at trial reveal how Zilis, the mother of four of Musk’s children, acted as an intermediary between him and OpenAI.
For decades, psychologists have debated whether the human mind can be explained by one unified theory or must be broken into separate parts like memory and attention. A recent AI model called Centaur seemed to offer a breakthrough, claiming it could mimic human thinking across 160 different cognitive tasks. But new research is challenging that …
Read more “This AI knew the answers but didn’t understand the questions”
On average, car crashes cause more than 40,000 deaths per year in the United States. Technologies like seat belts, advanced airbags, and automated braking systems have improved car driver and passenger safety, but pedestrian deaths due to crashes have actually increased by 48% over the last decade, reaching about 7,500 fatalities in 2022. Transportation researchers …