Lab-in-the-loop framework enables rapid evolution of complex multi-mutant proteins

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

Astronomers detect ‘impossible’ solar system that defies planet formation theories

Astronomers have found a rocky planet where it should not exist, orbiting far from a cool red star. Could this strange ...

Quesma Releases OTelBench: Independent Benchmark Reveals Frontier LLMs Struggle with Real-World SRE Tasks

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
InfoQ

GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...

Kanpur Lamborghini crash: New footage shows Shivam Mishra's bouncers running as car comes to a halt

The conduct of the private bouncers, captured in the immediate aftermath, forms a significant line of enquiry for investigators piecing together the full sequence of events.

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

Optimal Voltage-Vector-Sequence-Based Model Predictive Control With Minimum Current Harmonic for Low-Switching-Frequency PMSM Drives

Abstract: This paper proposes an optimal voltage- vector-sequence-based model predictive control (MPC) method for permanent magnet synchronous motor (PMSM) drives that exploits the properties of ...
IEEE

Time-Sequential Evolution Model for Distribution System Faults Under Heavy Rainfall Considering Multiple Disaster Chain

Abstract: This paper proposed an evolution model for distribution system faults under heavy rainfall conditions, explicitly accounting for cascading disasters. First, the correlations for rainfall, ...