Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Google Maps has got fresh competition. Using machine learning, computer engineers have developed an interactive map that ...

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...

Testing demonstrates 48% file size reduction with robust ML model accuracy across multiple industry-standard metrics. AV teams are invited to ...

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...

Pavle Jeremić, Founder and CEO of Aether, is a scientist-entrepreneur focused on turning advanced research into real-world industrial impact. With a background in biomolecular engineering and early ...

Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block harmful requests, attackers continue to try new ways to circumvent them. One of ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...