ML Archives - Tech Research Online Knowledge Base for IT Pros Mon, 16 May 2022 10:03:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.2.5 https://techresearchonline.com/wp-content/uploads/2019/09/full-black-d_favicon-70-70.png ML Archives - Tech Research Online 32 32 Facebook to Utilize AI and ML to Take More Calls   https://techresearchonline.com/news/facebook-to-utilize-ai-and-ml-to-take-more-calls/ https://techresearchonline.com/news/facebook-to-utilize-ai-and-ml-to-take-more-calls/#respond Mon, 16 Nov 2020 13:29:40 +0000 https://techresearchonline.com/?p=15146 Recently, Facebook has said that it is improving its content moderation tool by the implementation of enhanced artificial intelligence and machine learning. According to the company, it will help combat misinformation and hate posts effectively.    Ryan Barness, product manager with the Facebook, announcement revealed that the new system would prioritize content based on numbers of different parameters such as severity, virality, and impact.    Till now, the posts are thought to violate the company’s rules are flagged by human moderators in chronological order.    Also Read: Apple to Make 2.5m MacBooks with In-house Designed CPU  Now, the company intends to ensure that the most important posts are reviewed by human moderators. To achieve this, they will reportedly use a combination of machine learning algorithms to sort posts.    Till now these potentially harmful posts are reported by users or detected automatically by Facebook’s AI-based on pre-defined parameters.    The new system will improve the moderation of real-world harm with posts such as fake propaganda that can have serious implications. Passing these posts from the AI level to human moderators resolves the same system which will then tackle spam and other less inciting posts.  Posts receiving the highest level of priority will include child exploitation, terrorism, self-harm, and …

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Recently, Facebook has said that it is improving its content moderation tool by the implementation of enhanced artificial intelligence and machine learning. According to the company, it will help combat misinformation and hate posts effectively.   

Ryan Barness, product manager with the Facebook, announcement revealed that the new system would prioritize content based on numbers of different parameters such as severity, virality, and impact.   

Till now, the posts are thought to violate the company’s rules are flagged by human moderators in chronological order.   

Also Read: Apple to Make 2.5m MacBooks with In-house Designed CPU 

Now, the company intends to ensure that the most important posts are reviewed by human moderators. To achieve this, they will reportedly use a combination of machine learning algorithms to sort posts.   

Till now these potentially harmful posts are reported by users or detected automatically by Facebook’s AI-based on pre-defined parameters.   

The new system will improve the moderation of real-world harm with posts such as fake propaganda that can have serious implications. Passing these posts from the AI level to human moderators resolves the same system which will then tackle spam and other less inciting posts. 

Posts receiving the highest level of priority will include child exploitation, terrorism, self-harm, and other aspects. For this, Facebook is leveraging its AI expertise that it already has.  

Chris Palow, Facebook’s software engineer notes that “the system might still witness flaws. However, the eventual goal that Facebook has is to instill a level of human-like intelligence in computer recognition models, which has so far been missing from such AI models. This can help it make contextual decisions is super important post moderations – something that Facebook will look forward to cutting down on problematic content.”   

The system is about marrying AI and human reviewers to make less total mistakes,” said Palow 

 

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US and Royal Navy will Collaborate to Work Jointly on AI and ML https://techresearchonline.com/news/us-and-royal-navy-will-collaborate-to-work-jointly-on-ai-and-ml/ https://techresearchonline.com/news/us-and-royal-navy-will-collaborate-to-work-jointly-on-ai-and-ml/#respond Thu, 29 Oct 2020 12:14:40 +0000 https://techresearchonline.com/?p=14625 Recently, the Royal Navy and the U.S. Navy have decided to work on various methods to establish links between their digital delivery teams. They will also discuss some of the test methods for international collaboration and develop deeper technical collaboration around artificial intelligence and machine learning. In August 2020, the work started as a part of a wider initiative that aims to establish better technology co-operations between the two countries. In digital and AI at both organizations, senior leaders have the objective to develop, explore, and demonstrate how these applications work together in an interoperable way. They also want to explore how they can interchangeably use each other’s technology. The U.S-U.K. development squadrons will be created under a shared long-term vision from support fleet operations centers, interoperability, and tactical-level units with joint service partners. The collaboration plan was devised by Royal Navy Digital Services and the US Navy under that mandate to look at specific pieces of technology and the methods, the organizations use to research, design, and build software. In a blog post, Layna Nelson, systems engineer, and U.S. Navy secondee said “effective foreign collaboration is considered important in improving a country’s capabilities. and those of allies while bringing …

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Recently, the Royal Navy and the U.S. Navy have decided to work on various methods to establish links between their digital delivery teams. They will also discuss some of the test methods for international collaboration and develop deeper technical collaboration around artificial intelligence and machine learning.

In August 2020, the work started as a part of a wider initiative that aims to establish better technology co-operations between the two countries.

In digital and AI at both organizations, senior leaders have the objective to develop, explore, and demonstrate how these applications work together in an interoperable way. They also want to explore how they can interchangeably use each other’s technology.

The U.S-U.K. development squadrons will be created under a shared long-term vision from support fleet operations centers, interoperability, and tactical-level units with joint service partners.
The collaboration plan was devised by Royal Navy Digital Services and the US Navy under that mandate to look at specific pieces of technology and the methods, the organizations use to research, design, and build software.

In a blog post, Layna Nelson, systems engineer, and U.S. Navy secondee said “effective foreign collaboration is considered important in improving a country’s capabilities. and those of allies while bringing different perspectives into digital teams. However, that can be challenging due to factors such as bureaucracy and different time zones. The pandemic adds to those hurdles with the impossibility of quality face-to-face interactions.”

Also read: NASA Chooses Nokia For Its First Ever 4G Mobile Network on the Moon For Astronauts

To tackle those obstacles, the Navies used a two-day virtual workshop to share best practices in collaboration and digital delivery on development and research.
In the event, there were two teams involved: one working for the Royal Navy’s application to support maritime sustainment planning, and the second was working on delivering an application for the US Navy, to enable digital maritime maneuver planning.

In the months to come, according to Nelson, international agreements and collaborative software development will take place.
He says “Throughout this path-finding process, we’ll be learning and evolving with the goal of developing better digital and intelligent capabilities and teams to make our Navies stronger.”

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