Check out all the on-demand sessions from the Intelligent Security Summit here. In 2022, healthcare AI funding dropped to its lowest level since the third quarter of 2020, according to a CBInsights report. However, amid the economic downturn, 2022 has arguably been the year of AI innovation across several industries, including healthcare -- which is why the sector was impacted less than others by the fall in global AI funding this year. CBInsights' report revealed healthcare AI funding decreased 20% from Q2, compared to fintech AI funding, which dropped 34%, and retail tech AI funding, which fell by nearly half. As the new year beckons, AI experts are examining 2022's trends to predict what to expect in 2023.

AI investment activity continues to slow down in Q3'22, with quarterly funding and deals dropping to 8-quarter lows. Global AI funding fell 31% quarter-over-quarter (QoQ) to hit $8.3B -- its lowest level since Q3'20. Deals also dropped for the second consecutive quarter, falling 11% QoQ to 672. In line with this trend, $100M mega-rounds accounted for their smallest share of AI funding (40%) since Q2'20. Q3'22 highlights across the AI ecosystem include: Download our Q3'22 State of AI Report to learn more about all these trends and more.

It's boom times for startups building with or atop AI functionality: The Exchange explored the rise in venture capital dollars for AI startups last week, noting that investment into the business niche set all-time records in Q4 2020, and then successively in quarters one, two and three in 2021. The Exchange explores startups, markets and money. Read it every morning on TechCrunch or get The Exchange newsletter every Saturday. Given how heated the overall venture capital market is proving to be, those data points were only so surprising. What did shock us a little, however, was how active the Canadian AI startup market has been this year.

Japan is seeking to boost its flagging birth rate by funding the use of artificial intelligence to help match lonely hearts, an official said Monday.Although it might not conjure thoughts of romance, AI tech can match a wider and smarter range of potential suitors, the Cabinet official said.Prime Minister Yoshihide Suga's government plans to allocate ¥2 billion ($19 million) in the next fiscal year to back local authorities that run programs to help their residents find love, he said.Around half of the nation's 47 prefectures offer matchmaking services and some of them have already introduced AI systems, according to the Cabinet Office.The human-run matchmaking services often use standardized forms to list people's interests and hobbies, and AI systems can perform more advanced analysis of this data."We

Japan is seeking to boost its flagging birth rate by funding the use of artificial intelligence to help match lonely hearts, an official said Monday. Although it might not conjure thoughts of romance, AI tech can match a wider and smarter range of potential suitors, the Cabinet official said. Prime Minister Yoshihide Suga's government plans to allocate ¥2 billion ($19 million) in the next fiscal year to back local authorities that run programs to help their residents find love, he said. Around half of the nation's 47 prefectures offer matchmaking services and some of them have already introduced AI systems, according to the Cabinet Office. The human-run matchmaking services often use standardized forms to list people's interests and hobbies, and AI systems can perform more advanced analysis of this data.

Japan is seeking to boost its flagging birthrate by funding the use of artificial intelligence to help match lonely hearts, an official said Monday. Although it might not conjure thoughts of romance, AI tech can match a wider and smarter range of potential suitors, the cabinet official told AFP. Prime Minister Yoshihide Suga's government plans to allocate two billion yen ($19 million) in the next fiscal year to back local authorities that run schemes to help their residents find love, he said. Around half of the nation's 47 prefectures offer matchmaking services and some of them have already introduced AI systems, according to the cabinet office. The human-run matchmaking services often use standardised forms to list people's interests and hobbies, and AI systems can perform more advanced analysis of this data.

The Department of Health and Social Care has announced £50m funding for three digital pathology and imaging artificial intelligence (AI) centres in Coventry, Leeds and London. The centres were set up in 2018 with funding from the Department for Business, Energy and Industrial Strategy. Two other centres are located in Oxford and Glasgow. The three centres to share the latest tranche of funding will deliver digital upgrades to pathology and imaging services across an additional 38 NHS trusts, said the department. Health and social care secretary Matt Hancock said: "I am determined we do all we can to save lives by spotting cancer sooner. Bringing the benefits of artificial intelligence to the front line of our health service with this funding is another step in that mission."

A budget proposal from the White House would boost funding for AI by around 30 percent as the US aims to retain its technological supremacy. Countries around the world are vastly increasing their budgets for AI, and with good reason. Just look at Gartner's Hype Cycle released yesterday to see how important the technology is expected to be over the next decade. Russian president Vladimir Putin famously said back in 2017 that the nation which leads in AI "will become the ruler of the world". Putin said that AI offers unprecedented power, including military power, to any government that leads in the field.

Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the role AI plays in fighting the Coronavirus, the business impact of AI, and what the American public feels about it. UC San Diego Health developed and applied an artificial intelligence algorithm to more than 2,000 lung X-ray images, helping radiologists more quickly identify signs of early pneumonia in Covid-19 patients [Becker's Hospital Review] Mayo Clinic teamed up with the state's health department to create an artificial intelligence-powered tool that can identify zones of greater Covid-19 transmission in southern Minnesota [Becker's Hospital Review] The FluSense model, developed by researchers at University of Massachusetts Amherst, was tested in campus clinic waiting rooms. The AI platform was able to analyze coughing sounds and crowd size collected by the handheld device in real-time, then use that data to accurately predict daily illness rates in each clinic [Becker's Hospital Review] The Rambam Hospital in Haifa, Israel, has begun a clinical trial of Cordio Medical's app-based AI system that analyzes speech to diagnose and remotely monitor Covid-19 patients [VentureBeat] Kentucky-based Baptist Health is using an AI platform from remote-patient-monitoring startup Current Health Ltd. to track about 20 Covid-19 patients [WSJ] AI startup SparkBeyond will assist Argentina in looking at how the country can allow citizens to return to work and minimize economic impact. The platform will use data from the Argentinian ministry of health, which aggregates travel, demographic and employment data for each citizen, then integrates hundreds of external data sources to create a wider picture of the situation. It is an area where any country, even countries as big as China and the United States, will find it challenging to achieve the necessary scale of data--from tens to hundreds of millions of humans--to train machine-learning applications that generate robust insights into health and disease.

AI startups continued to outpace the overall U.S. venture capital market in the first quarter of 2020, but the coronavirus pandemic is expected to have a severe impact on funding across all sectors for the rest of the year. According to data from the National Venture Capital Association, 285 AI-related companies in the U.S. raised $6.9 billion in the first quarter of 2020. At that pace, AI funding would have easily topped the $19.98 billion raised by 1,509 companies in 2019, according to the Q1 2020 PitchBook-NVCA Venture Monitor. The report adjusted the latter up from its previous report of $18.05 billion for 2019. Those figures are the lastest sign of the growing impact technologies such as artificial intelligence and machine learning are having on an expanding range of industries.