AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...

Netscout expands AI for telecom networks, offering curated real-time intelligence to enable automation, predictive maintenance and resilient service operations.

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

Freelance marketplaces run on trust. Clients need confidence that the person they hire is real, qualified, and accountable. Platforms need assurance that ...

AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here ...

A novel nanozyme aptasensor array achieves 100 % accuracy in classifying Staphylococcus aureus strains, enhancing rapid ...

The subcontract agreement awarded to Safe Pro establishes a pathway for delivering AI-powered edge processing systems designed for government use. According to the company’s announcement, Safe Pro ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.