Emotion Research Lab, a developer of  AI-based tools for analyzing people's sentiment from facial expression and verbiage, is acquired by Uniphore, which provides emotion identification software for call centers. Uniphore was looking to strengthen its offerings as call center interactions are increasing through video and audio links. 


Facebook and NYU  are using AI-based models to forecast the condition of covid-19 patients in advance.  NYU plans to make the model freely available for researchers and health care providers. 

Fitch Ratings is acquiring AI startup Sigma for its AI-based tools, which can help in detecting frauds. 
Financial institutions and rating agencies are under pressure to ramp-up internal control and protect clients from unauthorized transactions. The financial crisis of  2008 was partly caused by rating agencies exaggerating the ratings of securities, which led to significant losses by investors. Both regulators and investors are demanding that rating agencies be vigilant in identifying financial crimes.

Scientists at Ohio State University Center for Clinical and Translational Science have developed an AI-based algorithm that helps in discovering new applications of the existing medications. Currently, time-consuming and expensive randomized clinical trials are used before an existing medication is re-purposed for a different disease. Using AI-based framework, researchers were able to identify medication that could be a good target to treat other diseases.

 The recently passed $740.5 billion federal defense bill allocate over $6 billion for AI research. The bill authorizes creating an AI office to coordinate AI efforts by a myriad of federal agencies. Ultimately, the bill will create a publicly accessible AI research cloud on par with big tech clouds such as Amazon, Google, and Facebook.

Police and other law enforcement agencies are using AI to arrest January 6th rioters at the U.S. Capitol. In some cases, the agencies are using Clearview AI-based facial recognization software to identify the suspects. The company has created a database of multi-billion images by scraping the websites and other publicly viable resources. Oxford, Alabama, spokesperson, acknowledge using the software to identify the potential rioters.

Centricity Inc., a New York-based startup, is raising another $10 million, which will bring the total raised thus far to around $12 million. The company develops AI-based tools to analyze user data for demand prediction and claims to have about ten customers. The company is one of the several trying to capitalize on the opportunities created by the stay-at-home orders across the country. Using the insight produced by the AI-based Machine Learning Models, retailers can predict the future demand for products and services.  

Online retailers, facing a deluge of returns, are using AI to reduce the cost of processing unwanted goods. Typically, online returns could cost as high as $20, depending on the item. E-commerce returns are expected to cost around  $70 billion for this past holiday season. Clearly, for retailers, it is more economical to issue a refund without processing the return. However, cybercriminals are purchasing from e-retailers with the sole intention of getting a refund while keeping the goods.

Jannelle Couret of the University of Rhode Island, USA, trained a Convoluted Neural Network (CNN) using  1,709 two-dimensional adult mosquitos images. The mosquitoes were collected from different colonies in five geographic regions and stored by flash freezing or dried samples. The researchers trained the CNN to identify Anopheles mosquito and its sex. Using test data, researchers found a 99.96% prediction accuracy for class and a 98.48% accuracy for the sex of the mosquito.