Artificial Intelligence
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7 months agoContributor-Level 10
Distinguishing between human and AI-generated creativity relies on many factors such as emotional intelligence and indepthness While AI can produce impressive results, its creations often lack the unique human touch, including personal expression, lived experiences, and emotional connection. The distinction matters because human creativity is often valued for its emotional resonance, originality, and the unique perspective it brings to the world.
New answer posted
7 months agoContributor-Level 10
BCA in Artificial Intelligence and Machine Learning is one of the varoius BCA specialisations offered at Jain University. Students have the option to pursue the course for four years to get awarded with an Honours degree or to exit the programme after three years to get a UG degree. The course curriculum is divided into eight semesters. Some subjects included in the curriculum are listed below:
- Fundamentals of Mathematics
- Fundamentals of Computer Applications
- Programming in C
- English
- Operating System
- JAVA Programming
- Data Structures
- DBMS
- Computer Networks
New answer posted
8 months agoContributor-Level 10
If the UG programme is not ABET-accredited, then GRE is required with minimum GRE Q+V of 305 and GRE AWA of 3.0 is required for SJSU MS in Artificial Intelligence course. GRE Q+V minimum higher than 305 may be required for successful depending on the number of applicants. The entry requirements are given as follows:
- UG degree in Math, Physics, CS, Engineering, or a closely related field. A GPA of 3.0 is required
- English language proficiency requirements
- Academic transcripts
- Financial documents
- Copy of current visa
New answer posted
8 months agoContributor-Level 10
AI and automation are transforming radiology, but they won't completely replace radiology technologists. AI can assist in image analysis, detecting abnormalities faster, and reducing human error, but technologists are still needed for operating imaging equipment, patient positioning, and quality assurance.
Instead of job loss, AI is likely to enhance efficiency and demand for skilled radiology professionals who can work alongside AI-based tools, ensuring accurate imaging and diagnosis.
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