On February 7, 1979, Lee Alvin DuBridge wrote a letter to his friend William T. Golden. Golden was in the process of put

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nalysts from research firm MoffettNathanson expected Disney to gain around 20 million subscribers by October 2020, but after raking in 10 million subscribers on the very first day, the streaming platform continued its meteoric rise through the new year and the pandemic. As it celebrated its first birthday this November, Disney boasted over 73 million subscribers. To put that in context, Disney expected to reach 60 million to 90 million subscriptions by 2024, but it has already blown past the lower estimate and is expected to reach the higher estimate by mid-2021. This makes Disney the second largest US-based streaming platform, only behind Netflix — an impressive feat for a platform that is just a year old. But Disney didn’t reach 73 million people with its brand new platform alone. It was generously helped by a streaming platform from India: Hotstar.

With the above discussion, you must have realised the benefits of incorporating Artificial Intelligence in their apps. But here we channelize our concern into simple methods of how to make your Flutter app AI enable.

Emotional awareness and emotional wellness both feed into the stability, equability, and longevity of our partnerships. You need to know how your potential partner is feeling about things, but you also need to notice — from a distance — how they handle or deal with their emotions. This relationship (between individual and their feelings) is closely tied to their reactions and interaction with others and their environment in general.

Our social circles are an important part of our support networks, but they can also be important indicators of who we really are. Look to your partner (or potential partners) — what do their friend groups look like? Do they always take precedence over you? Are they filled with drama and conflict? Are you kept entirely separate from them? All of these are signs you should look out for.

Family relationships are another important indicator to look at before investing in someone on a serious or long-term level. While we are not responsible for the behaviors of our family, the way we interact with them is often similar to how we treat our partners. How does this person treat their parents? Their siblings? How do they talk about them when they aren’t around? Ensure this aligns with your own values and expectations.

“My term as science advisor was not a very productive one,” DuBridge wrote. “Although Mr. Nixon himself was always cordial and cooperative, his immediate staff, after the first few months, repeatedly cancelled appointments with him, or said the President was too busy, or was not interested in the items I proposed to discuss. My office, one of them said, was not being of adequate political value to the President!” He went on: “Why dig into a brief but cloudy chapter? Everyone knows what Nixon’s staff later did. I hope you understand.”

Though it would take a few more months for this to made clear, DuBridge’s resignation and David’s soon after represented the low point in the history of presidential science advising. Instead of replacing David, President Nixon simply abolished the position and disbanded the President’s Science Advisory Committee, effectively banishing scientific expertise from the executive branch of government.

It could be surprising to know that Google was the first that sensed and leveraged the power of AI and integrated it in its plethora of products, including Gmail, Google Assistant, Google Translate and others. They served as the announcers in bringing about the popularity of using AI in applications to uplift the performance and deliver the more excellent user experience.

Netflix has become a leading video streaming app in marketing, generating million dollars of revenue. Right from the interface of the app to infinite treasures in it, this app has so much to keep viewers glued to their screen for hours. But above all, the integration of AI in this app is the primary reason behind the success story of the app.

Brief but cloudy indeed. In August 1970, DuBridge had resigned his post as science advisor to the president, citing his age (68, at the time) as the driving factor. But by all accounts, that wasn’t the only reason. “It has been apparent for some time that his White House position was becoming an unhappy one,” claimed a New York Times editorial, adding that numerous scientists had made DuBridge a “scapegoat” for cutbacks in government funding of research. “Scientists tend to regard the President’s science adviser as their friend and advocate in a high place, and the impression has been widespread that Dr. DuBridge has had relatively little influence on or even contact with the President.”

While there are various mobile apps including AI, Flutter app developers top the chart and are keen to know the options available for running ML models in the application.

DuBridge may have been “unhappy” in his toothless role, but perhaps he took some solace less than three years later, when Nixon’s second science advisor, Edward E. David, Jr., also resigned the post. This time, a report in the Times quoted a White House source saying “Ed feels less than useful.” And, much like when DuBridge left the White House: “Dr. David’s resignation buttresses the uneasy feelings of scientists here that their opinions and needs are not being given a fair hearing by the administration.”

Today, almost every organization is dealing with customer services and embracing AI technology directly and indirectly to serve better services. Right from adding chatbots to websites and mobile apps to integrating into analytics and CRM platforms, AI technology has a great potential to improve your business performance if it is rightly leveraged.

While using this method of integrating ML and AL to Flutter App, make sure your app is using Firebase or either you have a custom model that will be hosted on another server setup. Also, this method is suitable for models which expect regular updates but not so frequent.

ML kit is a part of Firebase that allows mobile app developers to quickly import Google’s machine learning expertise from the firebase console. No matter whether you are a beginner or a skilled Flutter app developer, you can quickly implement the ML functionality to Android and iOS applications by adding the few lines of code. While there is no need of having in-depth knowledge of neural networks or model optimization to get started with ML functionality, if you are an experienced ML developer, then it is worth leveraging the APIs in the mobile app.