Daily AI Recap: Jan 09, 2026
Welcome to today's curated briefing of the most important AI developments.
🗞️ Top Stories
- CES 2026: Follow live for the best, weirdest, most interesting tech as this robot and AI-heavy event wraps up: CES 2026, the annual consumer tech conference held in Las Vegas, is here. And lucky for you, we have TechCrunch editors and reporters on the ground to cover the news, scout out the interesting, weird,...
- Data Science Spotlight: Selected Problems from Advent of Code 2025: Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases The post Data Science Spotlight: Selected Problems from Advent of Code 2025 appeared first on Tow...
- How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution: In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how w...
- Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer: Forget stiff lines and wild polynomials. Discover why Splines are the "Goldilocks" of feature engineering, offering the perfect balance of flexibility and discipline for non-linear data using Scikit-L...
- 5 Useful Python Scripts to Automate Data Cleaning: Tired of repetitive data cleaning tasks? This article covers five Python scripts that handle common data cleaning tasks efficiently and reliably....
- One Genomics, CiRA Partner to Advance Precision Genome Engineering: AI-Focused Genomics Company Advancing De-Aging Science Collaborates with Leading iPS Cell Manufacturing and Research Foundation One Genomics, an AI-focused genomics company advancing de-aging research...
- Teaching a Neural Network the Mandelbrot Set: And why Fourier features change everything The post Teaching a Neural Network the Mandelbrot Set appeared first on Towards Data Science....
- OpenAI and SoftBank Group partner with SB Energy: OpenAI and SoftBank Group partner with SB Energy to develop multi-gigawatt AI data center campuses, including a 1.2 GW Texas facility supporting the Stargate initiative....
- Monnit Enters Japanese Market Through Partnership With Widetec: New Agreement Expands Wireless IoT Monitoring Monnit, a global leader in Internet of Things (IoT) solutions, today announced a master partnership with Tokyo-based Widetec, a leading IT infrastructure ...
- Eleveight AI Deploys NVIDIA B300 Blackwell GPUs in Armenia: Armenia data center among the first globally to launch NVIDIA’s B300 Blackwell GPUs Eleveight AI is thrilled to announce the deployment of NVIDIA B300 Blackwell GPUs at its AI-focused data center in A...
- Konovo Strengthens Global Leadership with Healthcare Technology Executives: Swathi Kulkarni, Managing Director, India, and Tom Halliday, Chief Commercial Officer bring decades of global, healthcare and life sciences technology experience, strengthening Konovo’s ability to sca...
- Wiliot Unveils Next-Gen IoT Pixel, Powering the Data Layer Behind Physical AI: Wiliot Unveils Next-Gen IoT Pixel, Powering the Data Layer Behind Physical AI Wiliot, a global leader in ambient IoT technology, introduces the Wiliot Gen3 IoT Pixel, the newest generation of its batt...
- Stanford’s AI spots hidden disease warnings that show up while you sleep: Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns ...
- Active Sensing Shapes Real-World Decision-Making through Dynamic Evidence Accumulation: arXiv:2601.04214v1 Announce Type: new Abstract: Human decision-making heavily relies on active sensing, a well-documented cognitive behaviour for evidence gathering to accommodate ever-changing envir...
- 3 Questions: How AI could optimize the power grid: While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient....
- Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference: Smart wearables enable continuous tracking of established biomarkers such as heart rate, heart rate variability, and blood oxygen saturation via photoplethysmography (PPG). Beyond these metrics, PPG w...
- Datadog uses Codex for system-level code review: OpenAI and Datadog brand graphic with the OpenAI wordmark on the left, the Datadog logo on the right, and a central abstract brown fur-like texture panel on a white background....
- AdaBoN: Adaptive Best-of-N Alignment: Recent advances in test-time alignment methods, such as Best-of-N sampling, offer a simple and effective way to steer language models (LMs) toward preferred behaviors using reward models (RM). However...
- Jan 9, 2026AlignmentNext-generation Constitutional Classifiers: More efficient protection against universal jailbreaks: Jan 9, 2026AlignmentNext-generation Constitutional Classifiers: More efficient protection against universal jailbreaks...
🛠️ Featured Tools
- The Forgotten Shield: Safety Grafting in Parameter-Space for Medical MLLMs: arXiv:2601.04199v1 Announce Type: new Abstract: Medical Multimodal Large Language Models (Medical MLLMs) have achieved remarkable progress in special...
- Green MLOps: Closed-Loop, Energy-Aware Inference with NVIDIA Triton, FastAPI, and Bio-Inspired Thresholding: arXiv:2601.04250v1 Announce Type: new Abstract: Energy efficiency is a first-order concern in AI deployment, as long-running inference can exceed tra...
- Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis: arXiv:2601.04262v1 Announce Type: new Abstract: Safety alignment in Large Language Models (LLMs) inherently presents a multi-objective optimization c...
- Learning to Reason: Temporal Saliency Distillation for Interpretable Knowledge Transfer: arXiv:2601.04263v1 Announce Type: new Abstract: Knowledge distillation has proven effective for model compression by transferring knowledge from a la...
- MemKD: Memory-Discrepancy Knowledge Distillation for Efficient Time Series Classification: arXiv:2601.04264v1 Announce Type: new Abstract: Deep learning models, particularly recurrent neural networks and their variants, such as long short-t...
- Formal Analysis of AGI Decision-Theoretic Models and the Confrontation Question: arXiv:2601.04234v1 Announce Type: new Abstract: Artificial General Intelligence (AGI) may face a confrontation question: under what conditions would ...
- Actively Obtaining Environmental Feedback for Autonomous Action Evaluation Without Predefined Measurements: arXiv:2601.04235v1 Announce Type: new Abstract: Obtaining reliable feedback from the environment is a fundamental capability for intelligent agents t...
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