As the volume of available information expands, the fraction a person is able to absorb shrinks. To break this cycle, computer scientists say we need new algorithms that prioritize a broader view over fulfilling consumer biases.
Researchers created an algorithm that successfully predicted consumer purchases. The algorithm made use of data from the consumers’ daily activity on social media. Brands could use this to analyze potential customers. The researchers’ method combines powerful statistical modeling techniques with machine learning-based image recognition.
The company, owned by Google’s parent, introduced a free tool it calls Assembler to sort out real images from fake ones.
It’s not just a modern problem. Airborne toxins are so pernicious that they may have shaped our DNA over millions of years.
For the first time, researchers have demonstrated a skew in the delivery of political ads based on the content of those ads alone.
A new web tool speeds the discovery of drugs to kill Gram-negative bacteria, which are responsible for the vast majority of antibiotic-resistant infections and deaths. The team that developed the tool also used it to convert a drug effective only against Gram-positive bacteria into one that also kills several Gram-negative infections.