Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Figure 1. Relationship between artificial intelligence (AI), machine learning (ML), deep learning (DL), and data science and basic definitions. Figure 2. Representation of the Rosalind Franklin ...

Muvon Therapeutics has linked its cell therapy to a 60% drop in stress incontinence episode frequency in a small phase 2 trial, leading the biotech to pitch the candidate as a way to reduce reliance ...

Researchers at the University of Pittsburgh are developing wireless spinal implants with a $352,213 National Institutes of Health grant, the university said in an Oct. 27 news release. The implants ...

Introduction: Plant diseases pose a significant threat to global food security and agricultural productivity, making accurate and timely disease identification essential for effective crop management ...

What is Data Science Fundamentals with Python? Data science transforms information into action. Through programming, analytics, and machine learning, data professionals uncover patterns, generate ...

Abstract: Safety-critical driving data is crucial for developing safe and trustworthy self-driving algorithms. Due to the scarcity of safety-critical data in naturalistic datasets, current approaches ...

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

Critics fear that personal data might be used to monitor immigrants and political foes, and to spread false tales of fraud. By Emily Badger As the Trump administration has sought to amass personally ...