Google Launches Ai Based Job Search Engine

Google has one’s again proved that it always plays a master stroke at the right time. A huge round of applaud for achieving this milestone. When the entire community of job seekers are pondering from pillar to post in the US and many parts of the world to get themselves a secured job, Google has tapped into an effective action launching its job search engines in the US.

This lets you virtually search for jobs almost on all major online platforms like LinkedIn, Monster, WayUp, Direct Employers, Career Builder, Facebook and many others. The complete job listings are found on Google’s company homepage.

The motto is to provide a better platform for all the job seekers check out jobs without going to multiple sites skipping over duplicate postings and irrelevant jobs. The announcement on Tuesday enlightens the market – incorporating a new feature into its search engine. Those who use Google in English on mobile and desktop devices will now be able to visualise the results immediately.

Job seekers who type “ jobs near me” or “IT jobs “, Google will fetch the details from all the job sites like Moster, LinkedIn, WayUp , Facebook and many others. Narrowing down results in its job search engines by title, categories, date of post and company type, Google even ensures to integrate high-end filters in future.

One’s you login to your Google account, you will be viewing the commute times with employers review and ratings. Through job hunting sites like LinkedIn, Google will provide the key for job searches to receive notifications turning on the alerts when any job gets highly available. With new capabilities, Google could be placed in competition with many popular search engines with millions of unique visitors each month.

With LinkedIn and WayUp, suggesting positions based on the experience list in user’s profile, Google’s search engine may work for creating new positions with a new challenge to match up the searcher’s experience. Infusing advanced artificial intelligence and machine learning capabilities, Google collaborates with many job matching industries to make a perfect match for employees and employers.   

Mostly desperate job seekers get on to any sort of job without making a deep research on the back ground check of companies. This usually pulls them down to problems like a sudden closing of startups due to insufficient funding, frequent hurdles in maintaining a consistency in salaries, non-registered companies and above all a sense of job insecurities.  With Google’s job search engine, you could find employers ratings and reviews along with a profound job description from sites such as Glassdoor and LinkedIn.

Google at I/O mentioned of using machine learning to organise and automatically sort data clustering similar jobs. The major advantages catered through this technology are that Google promises to eradicate duplicate postings and provide relevant job listings in one platform.

This feature brings benefits for employers with job content:

·         You get a prominent place where your postings are eligible to be displayed in new job search feature of Google highlighting your logo, reviews and ratings.  

·         It’s very obvious that every employer looks in for a highly motivated applicant. Getting an option to filter by various criteria like location, job title – employer is more likely to get job seekers who are looking for the exact jobs.

·         The will be increased chances of conversions allowing job seekers to interact with your postings and click through your site with a new avenue.

SO HOW TO GET YOUR JOB LISTING ON GOOGLE

There are two steps involved:

·         Place your job listings with Job Posting structured data

·         With < last mode > date, submit a site map or RSS or Atom Feed

In case there are around 100,000 job postings or more than 10,000 changes/day, you can express interest to use High Change Rate Feature. Enriched search results is a category of enhanced class search result which is a more interactive forum created by Google Search support team.

Implementing enriched search caters to rich results that extend with the addition of new properties. Google’s search ranking algorithm drives enriched search engine adding the correct structured data to your page. Google For Jobs is driven by Cloud Jobs API, which allows access to search and machine learning algorithm developed by Google.

Now how does it execute this whole process?

Applicant tracking system, company career websites, staffing agencies etc are some of the features allowed serving relevant job openings to the job seekers. Potential recruits pivot round shorter commute time. As per report suggested by ManPower Group, around 46% employers in the US are facing talent shortage and filling the job opening for the right candidates.

A set of guidelines is provided by Google for all the job providers to notice the job openings in Google’s job search engine. This helps to figure out a detailed process of how employers can make the visibility of their postings to the audience.

One can filter jobs based on industry and location as posted by the employer. Once a query is received, you can turn on the notification to match the personalised query. I would like to quote Nick Zakrasek, Google’s product manager who said, “Finding a job is like Dating”.

Google has created a framework to remove all the duplicate listing with its machine learning trained algorithm and categorically placing them. In case you come across a relevant job, Google will redirect you to the actual job site to initiate the application process. This will act as a credit for just job sites to share all the prolific details in their listings for job seekers. It is very clear that Google doesn’t plan to filter jobs based on what is already in the data base. It is in no way directly competing with other job sites.

Conal Thompson CTO Monster.com told that Google job search engine product aligns with the core strategy allowing candidates to explore jobs across the globe and refine the search criteria meeting their unique needs. Certainly, there will be some mirage seen in the form of challenges for many job posting sites driven by SEO.But, surely with Google job search engine, a wide scope of expansion for job seekers and employers will take a leap.

Resisting the temptation to bring in an effective action on the revenue source, Google has used the AI-equipped search engine that will link to the site with the exact job description. Indeed, Google has taken a step ahead to create a new evolution with technology reforming the process of job search at its best which is going to transform the competitive landscapes for job sites. 

Facebook Chatbots Discovers a New Machine Language

Unexpected discovery from the social media giant, Facebook in creating its own language. The researchers from Facebook Artificial Intelligence Research Lab have taken a step towards profound and prolific approach trying to improve chatbots. The boats are known as “dialogue agents” who were creating their own language.

To strengthen their conversational skills, the dialogue agents were allowed to converse freely using the machine learning algorithm. Suddenly, the boats diverged their way from scripted norms and started communicating in a completely different language without human input. Now just imagine the evolution of such vertical from Artificial Intelligence, when given a scope can deviate from its circumference and create something new.

To take an attempt to converse better than human chatbots took a step further and executed better than human creating something phenomenal. Well, this doesn’t end here.

Researchers have discovered that these bots are an incredibly crafty negotiator. Relying on machine learning and advanced technologies, the bots have taken an attempt to improve the results of negotiations. With the passage of time, bots began feigning interest with their skills in one of the item “sacrifice” at the later stage as a faux compromise.

The discovery made by Facebook has given the ability to the bots to negotiate and make compromises. During the execution of this process, it was noticed that bots made a divergence in human language forcing them to alter their model.  When two boys were allowed to have a conversation using machine learning to iterate strategies led those bots to communicate in their own language.

“Google Translate” service showed the similar scenario using its own language to translate with. New Scientist’s SamWong quoted on this whole idea, “using neural network the online translational tool recently started translating between most popular languages – as a matter of fact, the system has transformed into such an intelligent one that it can execute this for any language pairs on which it has been trained explicitly.

Initially, it was believed that bots have their own limitation to carry out the complex conversation. Prior to the latest invention by Facebook, it is now clear that they are not only capable of estimating and negotiating over an item but can also use deception to break through a deal.

This is not a singular level invention but a huge leap forward for AI.

Earlier, Facebook had released a platform that could combine different advances in artificial intelligence and articulate a lot more on machines. ParlAI, a framework which is built on conversational AI systems combining different approaches of machine dialogues. Having integrated into Amazon’s Mechanical Turk, this system has a team of researchers who ask the humans to help train their dialogue system as a vital means to develop the smarter conversational agents. Artificial Intelligence holds a firm grip in creating a machine has the capability of decent conversation tapping on learning and common-sense knowledge. a better dialogue system could have myriad commercial application. The tools help social network allow outside developers perform useful tasks building chatbots on their platform. Using its own conversational assistant called “M”, Facebook has poured immense resource which is tested by a group of selected users. From a large data test platform like this, the community will gain benefits. Hence this should be welcomed by anyone working on natural language understanding.

With all these working on a new structure of accidental language discovery in chatbots, Facebook hasn't just created a breakthrough but also helped to enable technology in a more refined way. New machine learning approaches such as reinforcement are also been experimented witnessing the fact that it could also help mimic the ways animal learn through positive feedback.

The social media giant was experimenting to teach chatbots the way to negotiate with each other and suddenly they stumbled upon something unusual where they found the chatbots imitating human speech spontaneously. This provides a glimpse of how the chatbots could communicate independently of humans in future. A brand new language was used without any inputs from supervisors to communicate instead of the conventional human speech.

Although the new language was more efficient for communicating between two bots, yet it couldn’t achieve the task. Thus the expert programmers altered the way to complete their negotiating training.  The hypothesis of the invention of artificial superintelligence will trigger the technological growth giving a fruitful outcome confronting a change in human civilisation.

There is a lot to go with the mysteries of machine learning and its deep understanding. This evaluates the output feeding a neural net with a massive meal of data.  Even for experts designing the system, it is understood that ideally, machines have the capability to create their own language highlights. Matching this thought the Facebook team got fired up to create this new machine language invention from chatbots. The reasoning strategies and diverse utterance from human language explore a new platform of the invention in near future.

Talk about any customer service industries using common keywords to answer the inquiries of ‘FAQ’, the chatbots are highly effective and widespread. These bots often have a limited run time span prior to any requests getting too complex. Chatbot Technology is something in which Facebook has been investing a lot, following which many large organisations are also in the pipeline. Sometimes the bots can also turn out to be sneaky. However, Facebook has enabled these bots to estimate the value of the item and infer how much that is worth for the party.

Sometimes people walk away without any deal, sometimes new agents hold on for longer conversations accepting deals less quickly. Adding to this, the new chatbot models in this experiment will certainly negotiate in their own language better in conversation than human achieving successful outcomes. 

Facebook Infuses Artificial Intelligence (Ai) To Combat Terror

Awakened by the terror attack, Facebook has announced through its newsroom on combating the radicalization. Social media sites are now questioned about their role in countering terrorism. This is well addressed by the social media giant, Facebook as it has infused artificial intelligence (AI) to remove content related to terror.

Facebook Infuses Artificial Intelligence (Ai) 

The social colossus, Facebook is focusing currently on techniques to counter terrorist content about Islamic State, Al-Qaeda and its affiliates. Today social media platform is reaching almost 1.94 billion each month, which again can’t be defined by the fact that even terrorist groups have easy access to their website. Facebook has been facing enough criticism for not doing anything to tackle terrorism. The company has employed 3000 extra people to trawl through posts and eradicate those that break the law of site community guidelines.

There have been many strategies to boost its counter speech and encourage the influential voice to call out terrorism online and prevent people from being more primitive. During the first phase of 2017, 571 terrorist attacks have been recorded resulting in 3924 fatalities in the world. Last year it was discovered that terrorist groups like ISIS, Al-Qaeda, Boko, Haram and many such entities have invaded the web using all their illegal activities. These communities were using Facebook as a major platform to create closed groups for buying and selling weapons and thus made payments through Messenger.

Now enough of it- thus Facebook decided to deploy its best soldier – artificial intelligence combating terrorism from using its website. Similar to that of block child pornography technology this algorithm aims to remove hate speech and the works of jihadist recruiters. Facebook has used major ways through artificial intelligence (AI) inception to counter terrorism in the following ways:

1.  The tracking of terrorist content is still under process, yet the 'language understanding algorithm 'used by Facebook is worked upon to reach the perfection limits. This could help to find out the illegal content through text-based signals.

2. The terrorist Cluster is another major aspect for which the super intelligent AI has been developed to determine whether an account has been disabled with same attributes for terrorism shares with an active account.

3.  These algorithms have been designed in such a framework that it will help the social media sites to identify the images or videos that have been flagged earlier. This will ensure to prevent sharing and uploading any terrorist propaganda.

Facebook also apprehends the language using AI to interpret the text that provokes terrorism. Facebook has also leapt ahead towards identifying fake accounts created by a repeat offender. This eventually is helping to reduce the time span of terrorist recidivism accounts. Including Whatsapp and Instagram, the company has begun to take action against any of their accounts on all platforms. It is not just with Artificial Intelligence (AI), but Facebook also uses human expertise to identify what supports terrorism.

As soon as a potential terrorism post is received, Facebook reviews it and scrutinises. Very rarely they uncover the evidence of harm and promptly revert. Although it is noted that radicalization of such extremist groups occurs mostly offline, yet it is known that the internet plays a very important role. Blending technology and Facebook has essentially played a vital role providing an efficient solution.

Although the use of Artificial Intelligence (AI) is very recent, yet it has fairly changed the ways to keep potential terrorist propaganda and accounts which are out on Facebook. Using cross-platform collaboration Facebook has begun working on systems enabling them to take action against terrorism.

With limited data of all the apps, it generates the ability to share data across the whole family to keep the entire Facebook platform safe. Apart from Artificial Intelligence (AI), Facebook has also used human expertise to understand more nuanced cases.

The Community Operation Team of Facebook works round the clock and reviews dozens of reports on different languages determining the context. This is indeed a difficult task and requires resiliency training. More than 150 people are exclusively focused on countering terrorism as their core domain.

Facebook has infused super artificial intelligence (AI) to remove terrorist content having a global team reverting within minutes to an emergency request from law enforcement. It is also observed that terrorists jump to multiple platforms. Thus, Facebook has collaborated with many industries for quick identification and slow spreading of terrorist content online. Many Governments and inter- governmental agencies are playing a key role providing expertise that isn’t possible for companies to self-develop.

Facebook using artificial intelligence is able to fetch information on encrypted messages that are used by terrorists and consistently applicable with the law and other policies. With a firm partnership with NGO and other community group’s Facebook has adapted a Counter-Speech training using its efforts to prevent people from pursuing a hate-filled life convincing them to grip on to life. The extremists are believed to challenge the real time extremism.

Facebook intends to create a hostile platform for terrorists to identify the signals on much early stage. Currently, Facebook is working on developing algorithms which will help investigate the activities planned by the extremists on all these platforms. From experts of academics to counter terrorism, agents, engineers and analyst Facebook have employed a group of professionals to continue combat terrorism in the best possible way.

It is well noted that each attack in any part of the world confirms that the internet is certainly playing a role in conducting and instigating violence spreading the extremist ideology of all kinds. It is high time we tackle and Facebook has taken up a stand confronting this terror trying to shield us all using its best soldier – artificial intelligence to combat terror.