Customers are turning to BSNL in the wake of Reliance Jio, Airtel, and Vi raising their recharge tariffs. Following the plans’ escalation in cost, customers are continually switching to BSNL.
Simultaneously, the business is continuously offering its clients new plans.
Customers can still purchase affordable recharge plans from BSNL at the previous rate. BSNL is always operating on the 4G network. It is anticipated that several regions of the nation will have 4G service by the end of this year. Recently, BSNL launched a new solution to cut down on spam calls. It has implemented a fantastic spam call prevention strategy. You can now easily file a complaint about the spam messages that are appearing on your number. Additionally, it will offer superior service.
You can complain using the app
BSNL users can easily lodge complaints with the help of the company’s Selfcare app.
The Selfcare app can be used in this manner.
1. Start by opening your phone’s BSNL Selfcare app.
2. You now need to click on the three-line symbol located in the screen’s upper left corner.
3. Next, you need to choose the Complaint and Preference option by swiping down.
4. Next, select Report from the three-line option on the right.
5. At this point, you must select “New Complaint.”
6. You will then need to select between making a voice call or sending an SMS. You will then be required to provide all relevant details.
7. Lastly, you must click the submit button after filling out the information.
The entire nation is in a celebratory mood. Numerous bike and scooter manufacturing enterprises are prepared to double the joy as they join the people in celebrating this holiday. In keeping with the enthusiasm of this Navratri, Ola Electric has also lowered the price of its well-liked electric scooter. The Ola scooter, which originally cost Rs 75,000, is now available for Rs 25,000 less. Ola Electric is giving this offer beginning on the first day of Sharadiya Navratri.
Offer for Ola Season Sale
On October 2, Bhavish Aggarwal, the CEO of Ola, revealed the electric scooter’s season special offer. According to Bhavish Aggarwal, this promotion will begin on October 3. The popular Ola S1 scooter’s starting price for this electric scooter now starts from Rs 49,999.
Price cut by twenty-five thousand rupees
Up to the evening of October 2, Ola S1 was available at Rs 74,999. This EV’s beginning price has now been lowered by Rs 25,000. This promotion will be available from Navratri until Diwali. The Ola S1 is available in a wide variety of versions. The Navratri-Diwali promotion has reduced the cost of this EV to around Rs 50,000.
Ola S1X
The Ola S1X comes with three different battery pack alternatives on the market. According to the business, a 2 kWh battery pack can go 95 km, a 3 kWh battery pack can travel 151 km, and a 4 kWh battery pack can travel 193 km. The ex-showroom price of Ola S1X starts at Rs 74,999.
S1 Air Ola
The maximum power output of Ola S1 Air is 6 kW. This scooter can reach a top speed of 90 kmph. This electric scooter has a certified range of 151 kilometers. The Ola S1 Air begins at Rs 1,07,499 ex-showroom.
Ola S1 Pro
The highest power of the Ola S1 Pro is 11 kW. This scooter also states that it can travel 195 kilometers between charges. This EV can travel up to 120 kmph. The Ola S1 Pro’s ex-showroom pricing starts at Rs 1,34,999 before the promotion.
Mimicking the brain: Deep learning meets vector-symbolic AI
They involve every individual memory entry instead of a single discrete entry. McCarthy’s approach to fix the frame problem was circumscription, a kind of non-monotonic logic where deductions could be made from actions that need only specify what would change while not having to explicitly specify everything that would not change. Other non-monotonic logics provided truth maintenance systems that revised beliefs leading to contradictions.
Second, the participants responded to the query instructions all at once, on a single web page, allowing the participants to edit, go back and forth, and responses. By contrast, the previous experiment collected the query responses one by one and had a curriculum of multiple distinct stages of learning. By providing a table of this data to a symbolic regression engine, it will start randomly trying different combinations of the input features and the base functions to try to predict the target variable while keeping track of the best formulas found so far. The CGBE strategies described in “Strategies for Learning Tree-to-Tree Mappings” are oriented towards the situation of refinement of a source language to a target language, such as the code generation case. In this situation, the source syntax trees are typically less elaborately structured than the target trees.
Methods
The advantage of neural networks is that they can deal with messy and unstructured data. Instead of manually laboring through the rules of detecting cat pixels, you can train a deep learning algorithm on many pictures of cats. When you provide it with a new image, it will return the probability that it contains a cat. On the other side of the spectrum of model complexity are black-box regressors like neural networks, which transform the input data through a series of implicit calculations before giving a result. Those models are very popular nowadays due to the promise that they will one day result in a general “artificial intelligence”, and due to their striking success in difficult problems like computer vision.
This approach may not be applicable in cases where the source and target languages have a large syntactic distance, such as a 3GL and assembly language.
Finally, their operation is largely opaque to humans, rendering them unsuitable for domains in which verifiability is important.
The store could act as a knowledge base and the clauses could act as rules or a restricted form of logic.
Cognitive architectures such as ACT-R may have additional capabilities, such as the ability to compile frequently used knowledge into higher-level chunks.
We would like to emphasize this since so far as machine learning has only been applied with objective attributes gained from image analysis, which rather correspond to formal-perceptive attributes18,19,20,21. According to our results, however, humans appear to judge artwork’s creativity according to the level of content and aspects of meaning. We predicted creativity judgement ratings of artworks based on ratings of 17 visual art-attributes using machine learning. We computed multivariate Random Forest (RF) regressor models and determined their prediction performances. On average the RF model’s predicting creativity judgements were off by 17.5 points from the actual judgements, within a creativity judgement range of 1 to 101 (see Table 2). The coefficient of determination (R2) between the predicted creativity judgements and the actual creativity judgements was on average 0.30, which indicates that the RF models explain on average 30% of the total variance in creativity judgement ratings.
Symbolic machine learning improved MCFT model for punching shear resistance of FRP-reinforced concrete slabs
This leaves open questions and implications for future research seeking to deepening the understanding of the concept of emotionality as creative expression in art itself. The analysis of our data uncovered an interplay among the relevant predictors, i.e., the attributes, and the target variable, creativity. Further analysis revealed, that while no significant correlation was found between the predictors and creativity, there were some observable correlations among the predictors themselves. This pattern is depicted in a correlation heatmap (see Fig. S3 Supplementary Information). Specifically, the correlation coefficients between symbolism and emotionality, and between imaginativeness and emotionality were low, with values of 0.22 and 0.16 respectively.
Real Estate Chatbot Create AI Real Estate Bot & Forms with Widgets
While it may be beneficial to have leasing agents or real estate virtual assistants available 24/7 to answer questions, it’s not sustainable. Not all prospects are potential buyers as some of them are more interested in seeking information rather than making a deal straight away. For such customers, you should look to educate through a chatbot and provide them with virtually all the information they seek. A chatbot can help you give virtual property tours to prospects when they are in the sales funnel. Such tours play a key role and buyers often don’t have enough time to go through each property physically.
It has advanced features such as facilitating data information, scheduling viewers, property search, and answering FAQs. It will help to deliver excellent customer service, save time and streamline operations. Chatbots follow up with the customers after their first interaction via whatever social media the leads are on, like email or text message. Sometimes the chatbot helps the leads to talk with the realtor directly. The Real estate chatbots start a communication with the prospective online buyer and ask them whether they are looking for buying, selling, or any other related information.
The Complete Real Estate Branding Guide [+ Examples, Checklist & Persona Template]
Firstly, we can see that chatbots are easy-to-use tools that offer many benefits. Secondly, they are ideal for improving customer support and increasing engagement. The company’s AI chatbot can modify its responses based on how your lead answers questions. In addition, it offers agents the ability to sync their real estate chatbot to their Facebook page. This feature makes RealtyChatbot a great option for agents who interact with leads from their Facebook page or through Facebook Messenger. It’s also the only chatbot on this list that was designed specifically for the real estate industry.
This may be because it’s more work for them or they worry they’ll get trapped on a 20-minute sales call. Regardless of why, using a chatbot is a low-effort and instantly rewarding way for a lead to reach out to you. In the real estate industry, lead generation becomes all the more difficult because of the complexity of the industry. Ask Avenue offers live chat and messaging software that is custom-built for real estate. With Roof, real estate companies can have smart, personalized conversations with their customers at scale. They create branded ads and chatbot marketing solutions for small businesses.
Cast Services
Lead generation is a crucial aspect of the real estate business, and AI chatbots are exceptional at capturing and qualifying leads. Through interactive conversations, chatbots collect valuable information about potential buyers, such as their budget, location preferences, and desired property features. This data enables agents to prioritize leads, focus their efforts on high-potential prospects, and nurture relationships effectively.
Chatbots can provide information on properties such as pricing, characteristics, location, and availability.
Chatbots for real estate are really both starting and continuing conversations for higher lead conversion.
From improving property listings to enhancing customer engagement, AI offers endless opportunities.
You can train the bot and then automate the FAQs so that instant replies are delivered to customers.
In the digital age, concerns about data security and privacy are paramount.
A real estate business receives many queries on property viewing and virtual tours. With a chatbot, you can easily schedule property viewing appointments within seconds without the help of an agent. They can also take your customers on a quick virtual tour around your property so your prospects can take an informed decision for an on-site property viewing. The majority of real estate businesses are adapting to the AI-based chatbots in their current business practices to ensure a high rate of customer satisfaction. The market of AI in real estate is projected to increase rapidly with a significant rise in user base and revenue figures. If you are planning to develop an AI chatbot, it is the right time.
Even if a lead fills out the form, they are just providing you information but are not getting any, which they are looking for. With chatbots in real estate, customers can engage in real-time basis, responding to their queries and at the same time, collecting information about their preferences. As real estate agents have time constraints like meeting deadlines, shift timings, it is not possible for them to remain available to the user throughout the day. With chatbots in real estate being available round the clock, 365 days a year – your customer’s queries can be addressed even outside of operational hours.
Tool installation and optimization for serviced plans are taken care of by Serviceform. Serviced plans come in Basic ($429/month), Pro ($599/month), and Premium (Request for a quote) packages. Real estate businesses can also find out insights like whether they’re buying or/and selling, what is their budget, ZIP code, special requirements, etc. By carefully evaluating these factors, you can choose the right that best fits your business requirements.
Reasons to Use a Chatbot in Your Real Estate Business
When it comes to chatbots in real estate, they have revolutionized the way we buy, sell or rent properties by turning long static forms into an interactive experience. On this plan, you can manage client email conversations and set up Facebook and Instagram chatbots. Real Estate AI Chatbots learn and improve through a process known as machine learning. They analyze user interactions, gather data, and use algorithms to identify patterns, understand user preferences, and refine their responses. The more interactions and feedback they receive, the better they become at providing accurate and relevant information.
It is also a seamless and efficient way to get personalized recommendations, instant responses, and assistance and streamline the research and buying process. If you want to enhance customer engagement and streamline the process, there are some effective chatbot solutions. Chatbot gathers this information from prospective buyers to create a profile for each user and give them personalized property options and listings. In addition, you can connect with Instagram and generate leads from there with Mobile Money.
As an avid fitness enthusiast, I have always been on the lookout for a reliable brand that can keep up with my active lifestyle. After trying numerous athletic shoe brands, I finally stumbled upon New Balance, and I must say, it has exceeded all my expectations. With its exceptional blend of comfort, style, and performance, New Balance has become my go-to brand for all my athletic footwear needs.
The moment I slipped my feet into a pair, I could feel the plush cushioning and remarkable support. Whether I’m running on pavement or hitting the gym, my feet remain cozy and protected, allowing me to push myself to the limits without any discomfort or fatigue.
The brand effortlessly combines fashion-forward designs with functionality. Their shoes boast a wide range of eye-catching colors and sleek silhouettes, making them not only suitable for workouts but also for everyday wear. I can confidently wear my New Balance sneakers both to the gym and to social events, knowing that I’m making a fashion statement while still prioritizing my performance.
Their innovative technologies, such as Fresh Foam and REVlite, provide excellent shock absorption, responsiveness, and stability, enhancing my performance during intense workouts. Whether I’m sprinting, jumping, or lifting weights, I feel the shoes responding to my movements, enabling me to achieve my fitness goals with ease.
Even after months of rigorous use, my New Balance shoes have maintained their structural integrity, proving their longevity. This reliability gives me peace of mind, knowing that my investment in their products is well worth it. Furthermore, New Balance is also known for its ethical manufacturing practices and dedication to sustainability. As a conscious consumer, it’s reassuring to support a brand that prioritizes social responsibility and environmental stewardship.
In conclusion,
New Balance has earned my utmost respect and loyalty. Their shoes provide the perfect balance of comfort, style, and performance. Making them a top choice for athletes and fashion-forward individuals alike. Whether you’re hitting the gym, running marathons, or simply want to add a touch of sporty elegance to your wardrobe. New Balance has got you covered. Trust me, once you experience the quality and excellence of New Balance, you won’t look back.
The Ministry of Home Affairs has advertised for recruitment for 797 graduate-level Junior Intelligence Officer (JIO) and Grade 2 (Technical) openings. There is not much time left to apply for these positions. Please let people know that the application period for these positions began on June 3, 2023. The closing date for applications for these positions is June 23, 2023. In this case, the applicant who wishes to apply for these positions may do so by visiting the Ministry of Home Affairs official website at mha.gov.in.Visit to register online in advance. Please let people know that there are only 3 days remaining to register.
2023 Ministry of Home Affairs Recruitment
Candidates should be between the ages of 18 and 27 if they are applying for these positions with the Ministry of Home Affairs. The candidates must hold an engineering diploma in electronics and computer science. Candidates with a B.Sc. in mathematics and physics, as well as a degree in computer application, are also welcome to apply.
Salary for Ministry of Home Affairs Recruitment 2023
The chosen candidates will be paid between Rs 30,000 and Rs 81,000 for these positions. Candidates who fall under the EWS and OBC categories must pay a Rs. 500 application fee. Candidates from SC and ST would just need to pay Rs 450.
How to Apply for Ministry of Home Affairs Positions in 2023
Start by visiting mha.gov.in, the Ministry of Home Affairs official website.
Go to 2 and go to the Ministry of Home Affairs Recruitment notice that interests you.
To access the online form, click the Register or Apply Now button.
Soon, OLA hopes to introduce its first electric car to consumers. Ola is preparing to introduce its automobile soon after debuting its electric scooter. This is the first time the Ola Electric Car has been prominently shown. According to news reports, the OLA car’s patent image has been posted online. Along with this, it also contains crucial details on the car’s design and appearance. Let’s discuss it.
OLA Electric Car’s first appearance!
Let us say that based just on the photo of the Ola electric car, it appears to be in concept form only. The photograph depicts a model who is not a production-ready model. OLA did, however, hint at this car when making the announcement. It featured a crimson automobile with angular styling and OLA badging. However, the teacher’s car does not look anything like the image that has just appeared.
Features of the Ola electric car
According to the new photograph, this OLA electric vehicle resembles the Model 3 and Model S from Tesla. Recognize that this silhouette is that of a standard sedan. However, the roofline at the back resembles that of a coupe. Along with the body panels, it has also been improved in this using aerodynamics.
What makes the OLA car unique?
The back wheel of the automobile has been kept out of the picture, which will undoubtedly lengthen the Ola car’s wheelbase. It’s feasible that the business will benefit from this in the future by adopting a larger battery pack. However, unlike a conventional electric vehicle, the front grille is not given in it either. Notably, the headlamp assembly in this picture is located at the top of the bumper. This also includes thin, horizontal lighting. It is transportable with an LED light. Be aware that the LED lights contact both of the headlights and cover the entire bonnet. Also included in the automobile is a dual-tor roof. People seem to really like this appearance.
If you are home buyers & want to purchase a home in Delhi-NCR, you might be in for a major shock. The cost of homes in Delhi-NCR has significantly increased. The prices of homes in Delhi-NCR climbed the most by 16 percent in the current year’s first quarter due to better demand and higher construction costs. This data was presented in a report.
House prices rose in 8 cities.
The research was published on Wednesday and was created by the Association for real estate professionals, CREDAI, real estate consultant Colliers, and data analysis firm Liases Foras. This contains information on housing costs in the top eight American cities for the first quarter of 2023. The survey claims that year over year, the prices of homes in the top eight cities have climbed by 8%.
In Delhi, housing prices grew by 16%.
The Delhi-NCR housing market saw the most quarter-over-quarter increase in price, rising by 16%. Following this, for home buyers there was a surge of 15% and 14%, respectively, in Kolkata and Bengaluru.
Delhi rates have increased for the previous 11 quarters.
According to the survey, the cost of housing in Delhi-NCR has been rising steadily for the past 11 quarters. “Price increases have been particularly pronounced on the Dwarka Motorway, increasing by 59%. The opening of the Central Peripheral Road and the loop connecting the Dwarka Motorway to the National Highway-8 are the primary causes of this.
Houses in Ahmedabad also increase in price.
In a similar vein, house costs in Gurugram’s Golf Course Road have risen by 42% annually. The cost of real estate on Golf Course Road is among the highest in the NCR. Homes here are now more expensive than those in Delhi. The data shows that between January and March of this year, the cost of a home in Ahmedabad jumped by 11%, to Rs 6,324 per square foot. Homes in the Bengaluru-Hyderabad region also became more expensive, with prices in Bengaluru growing by 14% to Rs 8,748 per square foot and in Chennai by 4% to Rs 7,395 per square foot. Residential property costs in Hyderabad climbed by 13% to Rs 10,410 per square foot.
Homes in Kolkata also increased in price.
In addition, the cost of housing in Kolkata rose by 15% to Rs 7,211 per square foot. Delhi-NCR housing costs climbed by 16% to Rs 8,432 per square foot. Mumbai housing prices are decreasing. Pune’s housing costs grew by 11% to Rs 8,352 per square foot. The Mumbai Metropolitan Region (MMR) had a 2% fall in prices, to Rs 19,219 per square foot. Liaises Foras’ managing director, Pankaj Kapur, anticipates a little increase in housing costs in the near future.
In India, strong traffic regulations are in place and are closely adhered to. Those who break traffic laws face consequences, which can include challan and even jail time. Driving while intoxicated is strictly prohibited throughout the nation. However, a lot of people continue to ignore it. Drinking and driving is risky and can result in accidents, thus it should be avoided.
If you now drink and drive, stop doing it immediately.
If you have previously been cited for drinking and driving. Be extra careful the next time you go because the fine will go up. If you are caught driving while intoxicated for the first time. You may receive a Rs 10,000 fine and/or six months in jail. However, if you are caught driving while intoxicated again, you may receive a challan for 15,000 rupees and/or two years in jail.
In addition, there is a provision for a fee
if you are discovered operating a motor vehicle without a driving license. In this case, a challan for Rs 5,000 can be withheld. Driving without insurance, however, might result in a challan for Rs 2,000 as well as up to 3 months in jail and community service.
Apart from these,
signal to jump and riding a bike or scooter without a helmet can each result in a challan deduction of Rs 1,000 to Rs 5,000. For operating a vehicle without a seat belt, a challan for Rs 1,000 is also issued.
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Offer for Ola Season Sale
