Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A developer has released jina-embeddings-v4, a self-hosted server for the jina-embeddings-v4 embedding model with an OpenAI-compatible /v1/embeddings endpoint. The server runs on a single NVIDIA GPU and allows applicatio…
NextLM's Savant 3.5, built on lightweight NVIDIA Nemotron models, outperformed frontier models from OpenAI, Google, Anthropic, SpaceXAI, and Moonshot in a customer-scoring task, placing 24.6% of eventual buyers in its to…
AI can strengthen enterprise security by continuously monitoring network activity, automating routine tasks, and prioritizing threats, according to experts including Sheetal Mehta, global head of cybersecurity at NTT DAT…
A practical approach to unsupervised classification of IP-level network data is presented, using HDBSCAN and K-Means to distinguish consumer brands sharing an ASN. The method leverages DNS resolver IPs, prefix extraction…
An educational article on Towards AI reinterprets matrices as tools for translating between different perceptions of space, using a story about giving directions to explain vectors and spanning vectors. The piece argues …
Models with fewer than 1 billion parameters, such as LFM 2.5 350M, exhibit unreliable tool calling in agentic systems, prompting developers to implement repair mechanisms and prompt-checking systems in MCP servers. The a…
A bug is a violation of a specification, and no specification exists that prefix caching's variable logits violate, according to an analysis of vLLM and SGLang issues. The vLLM PR #34046 adds an opt-in flag, --determinis…
Chunking is the highest-leverage, least-discussed decision in a RAG pipeline, according to a technical analysis, because fixed-size chunk boundaries can cut critical exceptions from retrieved context, leading to incorrec…
Higgsfield AI, a generative AI company with $500M in annual revenue run rate and 25M+ users, is hiring an ML Systems Performance Engineer (MFU) for its Almaty, Kazakhstan office. The role focuses on optimizing distribute…
Higgsfield AI, a generative AI company with $500M in annual revenue run rate and 25M+ users, is hiring an on-site ML Engineer (Data Engine) in Almaty, Kazakhstan, to analyze video motion, train reward models, and build v…
RunAnywhere, Inc. shipped an update to RCLI, its on-device voice AI for macOS that runs a complete STT + LLM + TTS + VLM pipeline natively on Apple Silicon, featuring 40 macOS actions via voice, local RAG over documents,…
A developer shared insights from a deep-dive exploratory data analysis on the Ames Housing Dataset, focusing on feature engineering and business logic. The analysis revealed that features like fences and alley access cor…
A developer built a batch process that runs at 3:30 AM to harvest non-obvious procedures from Claude Code conversation logs and save them as reusable skill files, enabling the AI assistant to start each day with accumula…
A developer built APIC-Web, a full image editor that runs entirely in the browser using Canvas, WebAssembly, and on-device machine learning, ensuring photos never leave the device. The project demonstrates how to achieve…
Ema, an Agentic AI platform company founded by former Google, Coinbase, Flipkart, and Okta executives, is hiring for its AI/Data Resident program, a 6-month remote internship in India for final-year undergraduate compute…
Researchers trained machine learning models to predict which Hamiltonian decomposition—standard Pauli or matching—yields fewer CX gates for continuous-time quantum walk simulations, achieving a Matthews correlation coeff…
Researchers introduced Harmony, a harmonic torsional diffusion framework for flexible protein-ligand docking, which parameterizes ligand and side-chain torsional score fields as derivatives of learned harmonic potentials…
Researchers propose CM-RED, a new MRI reconstruction method that integrates a pretrained consistency model into the regularization by denoising (RED) scheme, achieving high-quality reconstructions on fastMRI knee and bra…
A new theoretical study establishes minimax optimality for score-entropy discrete diffusion (SEDD), a discrete diffusion model used for generating natural language and graph-structured data. The researchers prove a minim…
Researchers introduced NeuroStrata, a connectivity-aware deep representation learning framework for EEG-based mental stress analysis, achieving a peak accuracy of 97.3% using the LAION-CLIP-ViT-L14 backbone with a Suppor…