In this week’s roundup, learn how artificial intelligence (AI) is being used to simplify and set real estate pricing, it’s applied in the medical technology industry, and powering climate change strategy. Get an overview of a recent debate on what the next steps for AI need to be to take it to the next level this year. Finally, understand how AI is becoming “de-democratized” and what is being done to fix it.
By Ben Dickson, contributing writer for VentureBeat.com
Over the last several years, AI has made huge strides, thanks to advances in deep learning. Today, deep learning is a key component of many everyday applications. But in its current state, it is not the final solution to solving the challenge of creating human-level AI. What is needed to take it to the next level? This article is a synopsis of an online debate Montreal.AI held last week called “AI debate 2: Moving AI forward: An interdisciplinary approach.”
by Karl Moore, contributing writer for Forbes.com
During COVID-19, four entrepreneurs seized the opportunity to develop Squarefeet.ai–an AI-driven residential real estate pricing solution. The software first collects data, including public census data, public, listings, and images. It quantifies location and design attributes of a particular unit next. In total, the pricing accounts for 200 different attributes, all of which affect the pricing of the unit. Finally, the platform monitors unit sales in real-time and adjusts the pricing accordingly. Read more about the technology here.
By GlobalData Healthcare for MedicalDevice-Network.com
The AI and ML industries are growing at an unprecedented rate in the medical technology industry, and the pandemic is accelerating this trend. The industry’s largest players are some of the biggest investors in the technologies. This has the potential to improve current methods of diagnosing, managing, and treating many diseases and health issues. Additionally, with big data becoming more accessible, it is possible to analyze, process, and find new patterns in data, especially when combined with ML algorithms. Learn how some of these players are already using AI and ML in medical technology.
By Ryan Khurana, contributing writer for ScientificAmerican.com
Deep learning has become the dominant technique for creating new AIs. This relies on enormous amounts of data and computing power to fuel complex, accurate models. These resources are more available at large organizations, which narrows the pool of people who define the research direction. As such, a recent study suggests that there has been a “de-democratization” in AI. Learn more about this phenomenon, the implications, and what is being done to avoid it.
By Bernard Marr, contributing writer for Forbes.com
There’s no time to waste when it comes to climate change. 2019 was the hottest year on record for the world’s oceans. The use of AI typically uncovers solutions to problems much quicker than it takes humans to discover. It is estimated that AI will assist organizations in the consumer products, retail, automotive industries to fulfill up to 45% of the Paris Agreement targets—while decreasing greenhouse gas emissions by 16%. Learn about a few promising ways that AI can impact climate change strategy.
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