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Tesla to begin Model 3 generation at Gigafactory 3 this month

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Recent reports from China show that Tesla is hoping to begin Model 3 creation in Gigafactory 3 sometime this month. The update was identified with Reuters by a few sources who are allegedly acquainted with the ongoing exercises at Tesla’s up and coming electric car generation office.

As indicated by the publication’s sources, the enormous factory has had the option to get government endorsements a month ago. With these secured, Gigafactory 3 has been cleared to begin the creation of the Made-in-China Model 3 as ahead of schedule as of October 2019. That being said, the source additionally referenced that it stays unclear when Tesla could achieve its initial target of producing 1,000-2,000 Model 3 every week at the Shanghai-based site.

“We aim to start some production in October, but the actual production volume depends on many factors including car orders we received, the performance of newly hired workers, supply chain and so on. It’s unclear when we can reach the 1,000-2,000 units per week target,” the source noted.

Tesla, for its part, has not given a comment about the recent reports from China.

Tesla apparently hopes to hit a generation rate of 1,000-2,000 Model 3 every week at Gigafactory 3 before the finish of 2019. Such an accomplishment would be a triumph for the organization, whose goals are usually expelled due to their excessively aggressive timetables. Morgan Stanley, for instance, gave a note last July expressing that while Gigafactory 3 will probably get enacted in 2019, the office will just create 35,000 to 40,000 Model 3 every year in 2020. That is a yield of 673-769 Model 3 every week.

Local reports from China told an alternate story. In opposition to Wall Street’s past estimates, Ma Chunlei, Deputy Secretary-General of Shanghai Municipal People’s Government and Director of Shanghai Development and Reform Commission, referenced in a statement that the initial capacity of Gigafactory 3 would be around 150,000 units for each year or around 3,000 vehicles for each week once the facility enters volume generation, which is relied upon to be accomplished in the first half of 2020.

While Tesla has been very quiet about the official beginning of Model 3 generation in Gigafactory 3, recent messages sent to the Chinese Tesla community from the organization appear to imply that the Shanghai-based facility is ready to begin manufacturing activities sooner rather than later. In a recent social media update, for instance, Tesla’s China team informed clients that Standard Range variations of the electric car can’t be ordered after October 13, as the date denotes the last shipment of base Model 3 to China.

“All Tesla Model 3 Standard Range will not accept orders after October 13th. This will be the last shipment of the Made in US Model 3. Please have your test drive before October 7th and lock-in your orders,” the company wrote.

This update looks good for the generation of the Made-in-China Model 3, as Gigafactory 3 is relied upon to exclusively manufacture affordable versions of the electric car for the Chinese market. That is precisely the same trim that Tesla will quit delivery to China on the 13th of October. In light of every one of these reports and updates, it gives the idea that Gigafactory 3’s preliminary generation keeps running of the Model 3 may be just around the corner.

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Google Introduces Gemini AI on Android Devices for Singapore Users

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Singapore is among the main beneficiaries of Google’s Gemini Mobile App, which enhances the AI capabilities of Android-based smartphones. With Gemini AI now supporting more languages and regions, this rollout is a part of Google’s larger strategy to make its advanced AI available to a global audience.

The Gemini app is now available for direct download or Google Assistant access for Android users in Singapore. The app works with Android phones running Android 12 or later and having at least 4 GB of RAM. On iOS devices running iOS 16 or later, users can interact with Gemini through a dedicated tab in the Google app.

With Gemini AI’s flexible and intuitive design, users can get help by speaking, typing, or uploading an image. To illustrate Google’s goal of developing a truly conversational and multimodal AI assistant, you could, for example, take a picture of a flat tire and receive detailed instructions on how to fix it, or ask for assistance writing a thank-you note.

Google is incorporating Gemini more thoroughly into its ecosystem in addition to the stand-alone app. With the help of new extensions, the AI can now effortlessly search through a wide range of Google services, including YouTube, Gmail, Docs, Drive, Maps, and even Google Flights and Hotels, to offer thorough support. Gemini’s ability to combine travel dates, lodging, and activities into a single itinerary based on user emails and preferences makes it an especially helpful tool for complicated tasks like organizing travel plans.

Additionally, Google is making using Gemini on desktops easier. By typing “@gemini” after their question, users can start direct inquiries from the address bar of the Chrome browser. This results in a rapid launch of the gemini.google.com page, which further integrates Gemini’s AI capabilities across platforms and shows answers right away.

Google’s latest developments improve the daily digital experience for users in Singapore and possibly globally, while also advocating for increased accessibility to AI tools.

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Amazon Q AI Assistant Rolls Out to Enterprise Clients, Amazon Q Apps Enter Preview Phase

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On Tuesday, Amazon revealed the expansion of the use of Amazon Q, its most recent AI-powered business assistant. Using data from the company’s internal systems, the e-commerce behemoth initially revealed its business-focused chatbot in November 2023, promising generative and analytical support. Eventually, a restricted group of users could access the AI tool from Amazon. It’s now widely accessible and has some additional features thanks to the company. Significantly, businesses will now receive Amazon Q Developer and Amazon Q Business, two distinct chatbots for different sets of tasks.

The cloud computing platform Amazon Web Services (AWS) announced in a newsroom post that businesses can now use the Business and Q Developer chatbots from Amazon. Customers who utilize AWS services will have access to this. The AI bot can assist with additional coding and business analytics tasks as it is trained and educated by the company’s data and workflows.

Software developers can benefit from the assistance of the Amazon Q Developer, which is intended to carry out “difficult and repetitive tasks” like coding, testing, upgrading applications, troubleshooting, security scanning and fixes, and optimizing AWS resources. According to the company, experts can use the time they save to create and deliver innovative end user experiences more quickly.

The tech giant is making its Amazon Q Business available for analytical support. This tool can receive and process prompts and queries in natural language. It can provide data-driven analysis, write reports, generate summaries and content, and answer questions based on the information from the company’s database that is housed on AWS servers. Additionally, Amazon QuickSight—AWS’s cloud-based, integrated business intelligence solution—will now include Amazon Q.

In addition to this, not all users have access to Amazon’s other feature yet. Apps with AI capabilities can be created by staff members using the company’s data and a tool called Amazon Q Apps. By giving a brief description of the app and the tasks it should accomplish, even employees without any prior coding experience can create apps using it. The app can then be created from start to finish by the AI chatbot. In preview mode right now is this feature.

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BrandGuard Introduces a Freemium Brand Governance Tool for Advertisers

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The leading supplier of brand governance solutions, BrandGuard, has announced the release of a new freemium program that is intended to make it simple for marketers to establish, distribute, and enforce brand guidelines throughout their businesses. BrandGuard’s primary brand governance tools, such as the BrandGuide Builder, BrandGuard scoring engine, and BrandGPT conversational interface, are now available for with the new.

Rob May, CEO of BrandGuard, said, “Marketers face a constant challenge in maintaining brand consistency as they create more content than ever before across an increasing number of channels.” “Our new self-serve platform gives marketing teams strong AI-driven tools for defining their brand identity, evaluating creative assets for compliance, and providing instantaneous access to brand guidelines—all at no cost.”

The following are some of the main characteristics of the BrandGuard freemium offering:

BrandGuide Builder: A simple, step-by-step method that makes it easier to identify the key components of a brand identity and turns them into a contemporary style guide.

BrandGuard: A cutting-edge artificial intelligence (AI) platform that guarantees adherence to brand principles, such as tone of voice, look and feel, precision elements like fonts, colors, and logos, and brand safety considerations like profanity, violence, and nudity.

BrandGPT: An interactive chatbot interface that offers immediate access to brand guidelines and fast engineering support.

Simply log in using an existing Google or Microsoft account to begin, then use the BrandGuide Builder wizard to onboard your brand details. Next, upload 30 to 50 sample on-brand and off-brand assets for training. In less than a day, BrandGuard’s engine will be prepared to begin scoring new assets for brand compliance.

While BrandGuard’s freemium product offers powerful brand management tools for solo brands and smaller teams, its premium plans come with extra features like advanced data analytics, enterprise user management, multi-brand support, regulatory compliance, and more. Premium plan prices are available upon request.

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