Tech expert Kurt Knutsson discusses how robots can milk, feed and clean cows on dairy farms, boosting efficiency and comfort. A threat to American livestock – the New World Screwworm (NWS) fly, which has been considered eradicated from the country since 1966 -- has reemerged as a potential danger following an outbreak in Mexico. The news triggered a shutdown of cattle, horse and bison imports along the southern border, as U.S. Department of Agriculture (USDA) Secretary Brooke Rollins announced in an X post on Sunday. "Due to the threat of New World Screwworm I am announcing the suspension of live cattle, horse, & bison imports through U.S. southern border ports of entry effective immediately," she wrote in the post. "The last time this devastating pest invaded America, it took 30 years for our cattle industry to recover.

Conventional pharmaceuticals aren't always the best way to treat an ailment. Drugs are often imprecise, unpredictable, or come along with tricky side effects. Medicine is always trying to move on to more targeted treatments. And soon, robots will be one of those options: small and mobile, they could theoretically deliver pharmaceuticals right where they're needed, tear through tumors, or rebuild broken bits of your body. Of course, these kinds of treatments are decades away--which might not be a problem, depending on how you feel about maggots.

What can software designers and ICT specialists learn from maggots? Quite a lot, it would appear. Through understanding how complex learning processes in simple organisms work, EU-funded scientists hope to usher in an era of self-learning robots and predictive computing. Even with limited brain power, an organism can choose the right thing to do in response to external stimuli, which is something that current computational learning theory cannot fully account for. Learning from maggots The EU-funded MINIMAL project, launched in 2014, has focused on the learning processes in a relatively simple animal, the fruit fly larva (maggots).