Got $3,000? 3 Tech Stocks to Buy and Hold for the Long Term
These three tech companies are market leaders with loads of long-term potential.
Is Ulta Beauty Finally Back?
The cosmetics and personal care company is trying to build upon a big first-quarter earnings report.
Stock Market Plunge: 2 Stocks to Avoid Right Now
Prudent investors should look elsewhere.
Alphabet Shareholders Approve 20-for-1 Stock Split. Here’s What Investors Need to Know.
While stock splits tend to ramp up investor excitement, there are plenty of other reasons to buy shares in the Google parent.
Are You on Track to Reach the $4,194 Max Social Security Benefit?
Here’s what it takes to max out your Social Security.
Stemloop, Biotech, and Rapid Tests with Khalid Alam
Today’s episode delves into the crisis that the US is currently experiencing with lead in their water supply, the challenges of solving this problem, and the rapid tests that Stemloop is building for household taps. Today’s episode offers an exciting l…
A 3400-year-old city emerges from the Tigris River
Archaeologists have uncovered a 3400-year-old Mittani Empire-era city once located on the Tigris River. The settlement emerged from the waters of the Mosul reservoir early this year as water levels fell rapidly due to extreme drought in Iraq. The exten…
When AI is the inventor who gets the patent?
The day is coming — some say has already arrived — when new inventions that benefit society are dreamt up by artificial intelligence all on its own.
Physicists announce first results from The Daya Bay Neutrino Experiment’s final dataset
Over nearly nine years, the Daya Bay Reactor Neutrino Experiment captured an unprecedented five and a half million interactions from subatomic particles called neutrinos. Now, the international team of physicists has reported the first result from the …
Machine learning models: In bias we trust?
Researchers find the explanation methods designed to help users determine whether to trust a machine-learning model’s predictions can perpetuate biases and lead to less accurate predictions for people from disadvantaged groups.