AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...

Using the ALLIUM predictions for all samples with a single known subtype (n = 851), a series of cross-validation experiments were configured whereby each experiment consisted of multiple runs and in ...

Md M Rahman et al, Accelerating cavity fault prediction using deep learning at Jefferson Laboratory, Machine Learning: Science and Technology (2024). DOI: 10.1088/2632-2153/ad7ad6 ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

Data-based profiling tools are being used by the UK Ministry of Justice (MoJ) to algorithmically “predict” people’s risk of committing criminal offences, but pressure group Statewatch says ...

A machine learning framework that uses scarce and sparse experimental data to both predict and inversely design the mechanical behavior of spinodal metamaterials. Why It Matters The method enables ...

Researchers use machine learning to predict exercise adherence. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250418112823.htm ...