You are free to share this article under the Attribution 4.0 International license. To more quickly identify drug combinations, such as those that might treat COVID-19, researchers have come up with an artificial intelligence platform called IDentif.AI. Traditionally, when dangerous new bacterial and viral infections emerge, the response is to develop a treatment that combines several different drugs. However, this process is laborious and time-consuming, with drug combinations chosen sub-optimally, and selection of doses a matter of trial and error. This costly and inefficient way of developing a treatment presents problems when a rapid response becomes crucial to tackle a global pandemic and resources need to be conserved.

It was only a matter of time, but Artificial Intelligence has actually made its entry into the Indian matchmaking sector. Betterhalf.AI is looking to change the way traditional matchmaking sites offer matches in India by taking into account six relationship dimensions including emotional, intellectual, relationship, moral values. It will use these and more to offer matches driven by machine learning (ML) algorithm. Yeah, this means you will not have to sift through hundreds of matches to find relevant ones. Betterhalf.AI, launched by Pawan Gupta and Rahul Namdev in 2016, has created a grid of verified working professionals at companies like Google, Facebook, Amazon, LinkedIn, Adobe and Accenture and applied a six-level verification system adding Facebook profiles, personal email, phone number, work email and government ID.

Artificial intelligence (AI) had a coming out party of sorts in 2016. Even though it has been in development for decades, this year, with the perfect combination of cheap computing power and access to increasing amounts of data, it seems AI's time has come. Its first foray in business has been directed at making salespeople more efficient at every level of the sales workflow. If you think about it, it makes sense to start with the part of the company that drives revenue. Certainly the vendors recognize that, says Alan Lepofsky, an analyst at Constellation Research, who is working on the impact of AI on work.

Artificial intelligence (AI) had a coming out party of sorts in 2016. Even though it has been in development for decades, this year, with the perfect combination of cheap computing power and access to increasing amounts of data, it seems AI's time has come. Its first foray in business has been directed at making salespeople more efficient at every level of the sales workflow. If you think about it, it makes sense to start with the part of the company that drives revenue. Certainly the vendors recognize that, says Alan Lepofsky, an analyst at Constellation Research, who is working on the impact of AI on work.

Artificial intelligence (AI) had a coming out party of sorts in 2016. Even though it has been in development for decades, this year, with the perfect combination of cheap computing power and access to increasing amounts of data, it seems AI's time has come. Its first foray in business has been directed at making salespeople more efficient at every level of the sales workflow. If you think about it, it makes sense to start with the part of the company that drives revenue. Certainly the vendors recognize that, says Alan Lepofsky, an analyst at Constellation Research, who is working on the impact of AI on work.

Artificial intelligence (AI) had a coming out party of sorts in 2016. Even though it has been in development for decades, this year, with the perfect combination of cheap computing power and access to increasing amounts of data, it seems AI's time has come. Its first foray in business has been directed at making salespeople more efficient at every level of the sales workflow. If you think about it, it makes sense to start with the part of the company that drives revenue. Certainly the vendors recognize that, says Alan Lepofsky, an analyst at Constellation Research, who is working on the impact of AI on work.