High-performance, memory-safe Rust implementation of Hugging Face Transformers. TrustformeRS brings the power of transformer models to the Rust ecosystem with zero-cost abstractions, fearless concu... Read more ›
More than a century after David Hilbert presented a list of 23 mathematical challenges to the 1900 ICM, mathematicians have made significant progress, but there’s still much work to do. Read more ›
Using information theory, a team of researchers at Binghamton University has developed a method to solve the popular New York Times puzzle game Wordle with a 99% success rate. Read more ›
Teaching cellular automata to actually do things Read more ›
Composite models broke the single-loop assumption behind LLM serving. The Walk Graph fixes it. Read more ›
We present Pareto Q-Learning with Reward Machines (PQLRM), a multi-objective reinforcement learning algorithm for tasks whose reward structure is specified by a set of reward machines (RMs). PQLRM combines Pareto Q-Learning (PQL), which maintains sets of vector-valued Q-estimates to approximate the Pareto front, with enhancements from Q-Learning with Reward Machines (QRM), which exploits the factored automaton structure of the reward signal. Thi... Read more ›
Before migrating a distributed database to the cloud, do not start with node count or capacity sizing. Start with the failure model. Decide replication strategy first, then consistency level, then network topology, and only then capacity. A safe migration also needs clear acceptance criteria, a quantitative replication-lag cutover gate, and a tested rollback plan before the maintenance window begins. Capacity is the consequence of architecture, not the starting point. Read more ›
Forecastion ProductHow it worksWorkspaces Log inStart forecasting Built for finance & analytics teams # Build powerful forecasts in seconds. Turn raw data into forecasts, scenarios, and shareable models — fast enough for ad hoc analysis, powerful enough for real work. Build your forecast — free Explore the demo Paste data · Compare methods · Export forecasts app.forecastion.com / forecast-lab End of forecast 611 ± 115 (90% CI) Cumulative 35.7K h = 60 periods Forecast avg 596 ... Read more ›
Learn how to build high-performance FP8 GEMM kernels on AMD CDNA™4 GPUs using MFMA, LDS swizzling, and double-buffering. Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Pyrefly v1.1 brings faster type checking, new IDE refactoring tools, and usability improvements. Read more ›
1991: T and P of ChatGPT, distillation, deep residual learning, LSTM, GAN Read more ›
Embed Python in Java. Contribute to ninia/jep development by creating an account on GitHub. Read more ›
to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about . Sign up for to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspective... Read more ›
Functional optimization problems are typically solved by optimizing the parameters of a fixed representation, such as a neural network, resulting in highly nonconvex losses that complicate both training and theoretical analysis. An interesting alternative is functional gradient descent (FGD), that is, gradient descent directly in function space, which benefits from strong convergence results and admits a clean theory. However, FGD is difficult... Read more ›
This is an unofficial We find that reinforcement learning on realistic scenarios targeting beneficial traits can produce broad improvements across dozens of benchmarks measuring aligned and beneficial behavior. These alignment gains generalize beyond the domains used for training and persist under adversarial pressure. As AI systems become more capable and autonomous in high-stakes settings like health, science, education, and coding, they will need to remain helpful, honest, transparent, and... Read more ›
Install neo-mcp, register NEO with Claude Code, and delegate RAG audits, fine-tunes, evals, and pipeline debugging without leaving the terminal. Read more ›
Today, Chinese AI startup Z.ai (formerly Zhipu AI) , a 753-billion parameter open-weights large language model (LLM) engineered specifically to dominate "long-horizon" autonomous coding and engineering tasks. Available immediately on , the, and more than 20 third-party coding environments, the model boasts a highly stable 1-million-token context window alongside enterprise subscription tiers starting at just $12.60 per month. In excellent news for cost and security-conscious businesses, z.ai ... Read more ›
Designing rapid transportation routes requires balancing efficiency and reachability. Shortest-path models ensure direct, cost-efficient routes but ignore coverage, while centrality-based approaches maximize accessibility but do not enforce operational constraints. We study the problem of selecting a shortest path that maximizes reachability, measured as the number of nodes within a fixed distance of the path. To do this, we introduce the $k$-St... Read more ›
Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic sequences can also participate in host defence. Here, using deep learning, we screened 19.3 million fragments from 2,897 curated prion-related proteins and identified 1,179 candidate antimicrobial peptides, which we term prionins. Among 75 synthesized prionins, 59 inhibited bacterial pathogens, 53 perturbed membranes and 2 reduced Acinetobacter baumannii infection burden in mice. Deep learning ... Read more ›