The images I capture are both haunting and beautiful, shaped by my fascination with forgotten spaces and the traces people leave behind. Through my photography of abandoned houses across the United ...
The winners of the Pure Street Photography Awards 2025 have been announced. David Campany, Creative Director at the International Center of Photography, New York, and Dimpy Bhalotia, founder of Pure ...
This October, the Livingston Public Library is presenting Nature’s Voice, an exhibit by West Orange-based photographer Louis Nesbitt. The display unites fine art photography with nature writing, ...
Most New Englanders already know that their region of the United States is one of the most breathtaking places to experience in the fall. But now a photography website is putting it up with the likes ...
Tucker Kraft is hands-down one of the most promising players in the National Football League (NFL). The explosive tight end (TE) is emerging as a potential future NFL star, courtesy of his exceptional ...
Summertime heat makes many of us seek out the nearest body of water for a bit of relief. The beach can also be a place for stunning photographs. Whether you're looking to capture dramatic sunrises or ...
Panelists discuss how organizations must create system-wide cultural changes through staff training, appropriate clinical environments, evidence-based treatment access, and incentive structures that ...
Celebrate National Pollinator Month this June by creating and maintaining a garden that attracts and supports these important members of our ecosystem. Pollinators are responsible for about 75% of the ...
Mr. Van Aertryck and Mr. Danielson are filmmakers. The camera is a tool — but to do what? Images shape our daily life, yet we rarely question how they’re made or why. As filmmakers, we’re fascinated ...
Create a stunning and responsive Traveling Landing Page website using HTML and CSS. Using this type of website you captivate your audience with an irresistible travel website. Welcome to the Traveller ...
Abstract: Property price estimation uses various kinds of algorithms in Machine Learning like linear regression, lasso, and decision tree that best predict the house prices with the highest accuracy.