Our online behaviour in this pandemic has confused AI machine learning (ML) systems according to a new MIT report. In one example, an organisation that uses ML to detect credit card fraud had to tweak their algorithm to account for a huge spike in interest in gardening equipment & power tools.
Also large swings in consumer behaviour (toilet paper one week to gym equipment the next!) exposed the brittle nature of AI algorithms and the need for human intervention.
"In June 2015, 5 people had to be taken to a hospital after a chlorine gas leak at an [US-based] Apple data center". Could this be prevented in future? Note. Chlorine is used by many to sterilize the water circulated through liquid cooling systems in DCs. Microsoft, Apple and other technology leaders are looking to the metaverse and AI to help improve safety conditions in Data Centres. Early in the test phase yet, but could these solutions and data points improve working conditions for team members?https://techcrunch.com/2022/06/18/microsoft-and-meta-join-google-in-using-ai-to-help-run-their-data-centers/Image credit: ITnews and Google
15.3% of farm produce is going to waste even before leaving the farm. That's 1.2 billion tonnes per year.
A $20 device that attaches to your smartphone is set to solve this problem for good.
A tiny microscope reduces disturbances when scanning food samples and empowers the app-based AI to reach 90% accuracy in detecting disease or parasites with less than 50 pictures.
Giving farmers anywhere around the globe certainty that the quality of their produce meets customer requirements and can go into supermarket shelves instead of the garbage dump.https://www.gomicro.co
Hotels expect to throw away food, budgeting 3 - 5% of their purchasing costs to waste. But a company in Singapore found waste levels closer to 25%, with much of that before food even makes it to a customers plate. By using AI to track food waste, Lumitics, can help chefs better predict food needs, provide real-time feedback on menu changes, spot if trimmings are effective (meat, avocados and more), all so purchasing patterns can be more accurate. Saving money and saving tonnes of food waste from going to landfill and adding to GHG emissions. https://lumitics.com/tailored-to-the-fb-industry/