Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

In the third decade of the 21st century, artificial intelligence is no longer just an auxiliary tool in our daily lives—it ...

Artificial intelligence (AI) is widely recognized as a game-changing technology, and the number of potential applications ...

The research reveals that although some users frame the gig economy as a space of freedom, income flexibility, and ...

Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to ...