As the mayhem at ports persists with no end in sight, a troubling realization is sinking in: This chaos will not subside with time alone, and the impacts of the "Great Supply Chain Disruption" are being felt across the country. For example, about 30% of baby formula brands could be sold out soon, causing retailers to ration how many containers customers can buy and leaving parents worried that they won't have enough food to feed their babies. Infrastructure and a lack of truck drivers are often blamed. U.S. trucking companies experienced a record deficit of 80,000 drivers in 2021. It's a logical explanation because truck drivers move a considerable portion of American freight.

Testing specialists Applause have debuted an AI solution promising to help tackle algorithmic bias while providing the scale of data needed for robust training. Applause has built a vast global community of testers for its app testing solution which is trusted by brands including Google, Uber, PayPal, and more. The company is leveraging this relatively unique asset to help overcome some of the biggest hurdles facing AI development. AI News spoke with Kristin Simonini, VP of Product at Applause, about the company's new solution and what it means for the industry ahead of her keynote at AI Expo North America later this month. "Our customers have been needing additional support from us in the area of data collection to support their AI developments, train their system, and then test the functionality," explains Simonini.

Everyone is talking about the power of AI and it's slowly invading our lives--emphasis on slowly. While you might have a few AI assistants and connected devices in your house, the business world hasn't fully jumped on board yet with AI. Sure, the forward-thinking companies have and those are the headline we are seeing, but I'm talking about full adoption from the mom and pop shops all the way up to the enterprise level, spanning across all industries. We all understand the power and the potential of AI, but we don't seem to discuss the AI deployment challenges that many businesses are likely facing. We see statistics like 61 percent of companies with an innovation strategy are using AI to identify opportunities in data and think that a majority of companies must be adopting AI.

Researchers have tapped into artificial intelligence to help overcome some of fusion energy's greatest challenges. By feeding a machine-learning program data from past experiments, it can reveal links between processes that cause complications in the plasma's behaviour This could help to avoid such disruptions, which lead to rapid loss of stored thermal and magnetic energy, and can even threaten the machine itself. According to the researchers, this approach could be used to analyze the behaviour of plasma inside a tokamak. Fusion involves placing hydrogen atoms under high heat and pressure until they fuse into helium atoms. When deuterium and tritium nuclei - which can be found in hydrogen - fuse, they form a helium nucleus, a neutron and a lot of energy.