The use of artificial intelligence in the creation of movies and TV shows – to write scripts, generate actor likenesses, or reduce the cost of creative work – has been the most contentious topic in negotiations between the Alliance of Motion Picture and Television Producers (AMPTP) and Sag and the Writers Guild of America (WGA).

The writers went on strike in May, with many popular actors including Tom Cruise and George Clooney joining earlier this month. It’s the first joint strike since the 1960s and threatens to change Hollywood forever.

The post, first reported by The Intercept, is something new that aims to “increase the use of our machine learning platform,” billed as “the foundation of all this innovation.” The post, however, lists vague qualifications related to machine learning, but hints at the company’s more far-reaching goals for artificial intelligence in “all areas of business.” A separate “machine learning” section on the company’s website says it will use AI to “shape our catalogue of films and TV shows by learning the features that make content successful”, and to “optimise the production of original films and TV shows”.

This isn’t the only new AI position sought by Netflix. The Intercept reported that the company is also looking to hire a technical director for generative AI at its game studio for a pay of up to $650,000 a year. Artificial intelligence can create text, images and video from input that can be used to create original content or for advertising purposes.

Earlier this month, Netflix premiered the new Spanish dating reality series “Deep Fake Love,” in which scans of participants’ faces and bodies are used to create “deepfake” simulations of themselves, and the company’s games division uses AI to create narratives and dialogue.

However, according to the AMPTP, the breakthrough of Artificial Intelligence across the film industry will change the perception of cinema forever and leave thousands of talented actors out of work, including celebrity darlings around the world.

“Topics”, as this is the name of the new option, is about to use some kind of software which is built in your Chrome browser. It will track your browsing history and, based on what you have been searching for, it will suggest some topics which you are interested in.

However, you need to know that those topics are being stored for only three weeks. You will be provided with only three topics – one chosen topic for a week. After that, the old ones will be automatically deleted.

The announcement also says that now users will be given an opportunity to see and control how their data is being shared. Also, online businesses will also no longer be able to interact with tracking techniques such as fingerprinting in order to continue serving relevant ads.

Facebook revealed that in January 2022, the Detailed Targeting options will be removed because the related topics may be perceived as sensitive by some users. For instance, you won’t be able to target your ads on topics, related to health, sexual orientation, etc. Thus a variety of options will be removed. Soon after these options will no longer be available, many marketers would be affected, such as political parties or healthcare brands.

There is some research showing that most young consumers are more likely to purchase something from a brand that supports a cause or a movement and the removal of the target element will be a significant change. However, the company explains that Engagement Custom Audiences will be an option that is still available to use in order to reach people who have liked their page. ts.

The real question is ‘’Why is this change?’’ and many of us would like to know the answer.

Well, because of the GDPR, which is a law Facebook has battled since 2018 when it came into effect, the company is not allowed legally to target users without explicit consent from each individual. There are still ways the ads on Facebook can be used in what would be esteemed as discrimination. The removal of the ad qualifiers, however, will guarantee that the company faces its legal demands.

Basically, it is one more reminder that you can expand your own first-party data and collect information on your audience in order to establish your own focus lists. The good news is that you can select and target with more control not only on Facebook but also outside of the applications themselves.

Facebook revealed that the existing ad set which is available for all of us now will be stopped on 17th March next year. At some stage, you may be required to update your targeting selections. If possible, the company would provide an alternative targeting recommendation via Ads Manager.

Autonomous vehicles rely on three main technologies, the first of which is high-precision localization, robust and reliable environment perception and last but not least the prediction and motion planning algorithms for safe manoeuvres. The motion planner is easier to achieve as long as the accuracy of the localization and perception data is higher.

Photo Credits: Qualcomm

• The unified localization solution

An autonomous vehicle must be able to localize itself within a few centimetres of accuracy to plan and execute complex manoeuvres required in real-world road conditions. A way to reach higher levels of accuracy is by HD Maps. Qualcomm shared:

“Our approach is to develop advanced and optimized modules that solve such challenges for our automotive OEM customers and partners.”

One such component is Qualcomm Vision Enhanced Precise Positioning (VEPP) software, which can provide lane-level positioning and a precise heading in the global coordinates by tightly fusing GNSS, IMU, camera, and vehicle odometry information in real-time and in virtually all environments.

The localization solution fuses the global pose with camera perception and HD map information and also provides an ability to generate a local map, by producing identification of gaps or errors in HD maps on the fly — all while the vehicle can operate in an autonomous mode.

• Novel techniques for efficient environment perception

One of the main focus areas for Qualcomm is to scale environmental perception technologies in a more efficient way.  Their aim is to harness all sensor types including cameras, radar, and lidar, as well as maps to build novel ways of solving environment perception challenges.

There is multisensor data fusion, which includes data association, as well as object-state estimation. Data association is basically the ability of the autonomous vehicle to correlate data from different views. State estimation involves tracking real-world objects and estimates their size, speed, and position relative to the autonomous vehicle itself.

Another Qualcomm’s focus area is the accurate prediction of the pose and tracking the size of objects on the road with 3D estimations. This happens by the use of 2D data from cameras, radar and maps. 3D estimations leveraging both deep learning and concepts from multi-view geometry. Such accurate 3D estimations can enable human-like manoeuvres for the advanced safety of the autonomous vehicle.

• Accelerating autonomous driving solutions

Qualcomm Technologies has been at the forefront of providing connectivity solutions. Building on this solid understanding of the automotive industry, the representatives of Qualcomm are now helping drive some of the biggest innovations in AD.

Their comprehensive frameworks and tools around cross-sensory calibration, active learning, big data management, and automated verification/validation can significantly reduce the time-to-market for autonomous vehicle manufacturers.