🚨 Microsoft’s Bing will soon integrate with ChatGPT. Plus, the benefits of AI in drug research and discovery.
🚨 Microsoft’s Bing will soon integrate with ChatGPT. Plus, the benefits of AI in drug research and discovery.
In today’s email:
Rumor has it that Microsoft’s search engine, Bing, will soon integrate with ChatGPT.
2022 saw big rise in using AI for drug discovery.
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Rumor has it that Microsoft’s Bing will soon integrate with ChatGPT.
In 2019, Microsoft made a $1 billion investment in OpenAI. This investment came with a multi-year partnership to develop artificial intelligence tech using Microsoft’s cloud computing service, Azure.
And now, according to two sources, Microsoft is preparing to launch a version of its Bing search engine that uses the AI behind ChatGPT to answer search queries, rather than showing a list of links*.
*Pour one out for our SEO homies tonight 🫗
The 🥩 of it:
Microsoft is working on an AI-powered version of its search engine using OpenAI’s ChatGPT.
This comes almost 4 years after Microsoft made a $1 billion investment in OpenAI.
This announcement may not come as a surprise, as OpenAI’s image generator, DALL-E 2, is already available for Bing users in some regions.
Microsoft is still weighing both the chatbot’s accuracy and how quickly it can be included in the search engine before confirming a date, according to the source. But it’s rumored that this will become a part of Bing’s search features in March.
The initial release may be a limited test to a narrow group of users before being released to the masses.
This puts Microsoft ahead of Google in the race to incorporate AI chatbots into search. As we covered in previous article, we might hear updates from Google’s own AI efforts at Google I/O this May.
Microsoft is obviously betting that this will help them take a larger piece of that search pie. According to StatCounter, as of June 2022, Google’s global search engine market share was at 91.88%, with Bing following at only 3.19%
Some analysts and experts have argued that, despite the fact that the AI service sometimes provides incorrect information with the appearance of authority, its ability to summarize publicly available data makes it a credible alternative to Google search and a list of search-generated links.
The way I see it, is we also never know the true accuracy of things we read when a Google search leads to a blog. I couldn’t even get consistent information regarding aftercare rules for a vasectomy.
What do you think? Will this popular new feature allow Bing to grab a greater marketshare from Google? Would you switch to Bing to have the best of both worlds in one engine? I think I could personally be enticed to switch.
2022 was a great year for using AI in drug discovery.
Today, to discover and develop a drug takes more than ten years. But 2022 gave us a lot of hope in decreasing those timelines by incorporating AI models into their discovery. We might be able to have drugs in one-tenth of the time, from being discovered to being able to treat patients.
The 🥩 of it:
AI has been making significant advancements in the field of medicine, biotechnology, and pharmacology; specifically in the areas of drug discovery and development.
Integrating AI into drug discovery has increased about 40% annually, according to research by Nature.
“An important aspect of this is the AI systems being able to explain their predictions to humans, a focus of current research. This allows humans to make the final decisions [on] analysis and testing, with AI drastically reducing the cost of getting successful drugs to market.”
Researchers are using AI to:
reduce the number of candidates necessary for trials.
predict drug effectiveness and safety.
Provide explanations for why a drug shows results for a condition in which it wasn’t originally designed to treat.
We also started seeing artificial intelligence being used to provide a better understanding of how proteins work; which informs us how it can be affected, controlled and modified.
Drug manufacturers are starting to use AI in their processes by optimizing the conditions in which drugs are made.
Clinical trials are utilizing AI to predict patient responses to treatments, and identify the optimal dosage and duration of the treatment.
AI is also being used to identify potential adverse drug reactions and assist with creating personalized treatment plans.
Humans are incredibly complex. It takes many years to discover even just one new medicine to successfully treat a disease. Could artificial intelligence help speed up that process?
