AI’s next frontier—physical AI and world models—requires rich, multi-dimensional data to function in real-world environments, ...

The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.

Alphabet’s Q1 CY26 beat shows Google Cloud +63% and Gemini Enterprise subs +40% q/q, signaling AI share gains and undervalued ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

A new partnership explores how multiple residual elements that accumulate during scrap steel recycling process could impact ...

Organoids and engineered systems are transforming malaria research, improving drug discovery and understanding of Plasmodium ...

Materials called relaxor ferroelectrics have been used for decades in technologies like ultrasounds, microphones, and sonar ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

The field of bioinformatics is witnessing a dramatic surge in data volumes due to the advent of advanced high-throughput technologies in areas such as ...

Google DeepMind has introduced a new 10-dimension framework to evaluate AGI, replacing single-score benchmarks with ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

This is part of an optional week-long series. Attend all the courses to earn a certificate, or enroll in this course with a 2-day package (Monday & Tuesday). Dimensional data is a core component of ...