Google Accidentally Leaks Details of Upcoming Pixel 8 Pro Smartphone

Google has inadvertently offered an early glimpse of the design and some key details of its next flagship smartphone: the Pixel 8 Pro. The tech giant included renders of the Pixel 8 Pro on its Pixel Simulator color picker tool, giving us a sneak peek at the handset from all angles, as first spotted by Android expert Mishaal Rahman.

An Early Reveal

While Google swiftly removed access to the Pixel 8 Pro images shortly after Rahman highlighted its presence on the Pixel Simulator, he managed to capture screenshots providing valuable insights.

Most notably, the renders showcase the Pixel 8 Pro’s polished design and confirm it will be offered in three colorways – Porcelain Grey, Blue Hazel, and Obsidian Black. A SIM card tray is also visible, suggesting eSIM compatibility rumors were inaccurate.

Additionally, the images verify the Pixel 8 Pro will come equipped with an integrated temperature sensor – a feature Google actually leaked themselves in a demo video uploaded and deleted earlier this summer.

What Else We Know

With Google’s unintended reveal corroborating several key Pixel 8 Pro rumors, excitement is building ahead of the flagship’s expected October 4 announcement at the company’s upcoming “Made by Google” launch event.

Here’s a quick rundown of other rumored Pixel 8 Pro specs and details that have surfaced so far:

  • 6.7 to 6.8-inch OLED display with 120Hz refresh rate
  • New Tensor G2 chipset
  • 50MP main rear camera with new sensors
  • Upgraded ultra-wide camera
  • Telephoto camera with 5x optical zoom
  • 12GB RAM
  • 128/256/512GB storage options
  • Under display selfie camera
  • Improved battery life
  • Wireless charging support

More Questions Than Answers

While Google’s slip-up gives us an early look at the Pixel 8 Pro’s polished aesthetics, many questions remain regarding the flagship’s specs, features, and capabilities.

Pricing details are also still a mystery – will the Pixel 8 Pro carry a similar price tag to the Pixel 7 Pro or will Google look to better compete with rivals Samsung and Apple in the ultra-premium category?

For now, the leaked images offer just a small glimpse, but thankfully the wait for full details is almost over. Google’s upcoming launch event will paint the complete picture and reveal if the Pixel 8 Pro has what it takes to be crowned the best Android phone of 2023.

5 Ethics Concerns Related to Artificial Intelligence and Machine Learning

Ethics Concerns Related to Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly developing fields that are revolutionizing how we live and work. They draw from a multidisciplinary approach rooted in mathematics, computer science, linguistics and psychology to achieve this impact.

AI technology is capable of learning and thinking like humans, which enables it to solve complex problems. This has numerous applications across a variety of industries.

AI technologies in healthcare enable doctors and nurses to recognize patterns in patient data more quickly, leading to faster diagnoses. They could even be utilized to create virtual health assistants that assist patients in finding information online and scheduling appointments.

These technologies are helping improve patient outcomes and cut healthcare costs, so it’s no shock that companies are investing heavily in these systems.

It’s essential to know how to utilize them correctly in order to get the most out of them.

AI and Machine Learning (ML) are revolutionizing how we live, work and play.

By automating processes, enabling predictive analysis and providing real-time insights into business operations, these technologies are making the world a better place.

Technology has numerous potential applications in sectors such as healthcare, financial services, entertainment and retail. However, it is essential to be aware of the ethical implications that come with using these tools.

Artificial Intelligence and Machine Learning

1. AI and Machine Learning Pose a Growing Privacy Threat

While many are aware of artificial intelligence, not enough people understand its potential risks to personal privacy. This could be due to not understanding how these technologies operate or not knowing how to safeguard themselves against them.

2. Before AI and ML can be fully integrated into everyday life in society, ethical questions need to be addressed.

3. While AI and machine learning (ML) have many potential positive effects on the environment, it’s essential to be mindful of their negative consequences on climate change as well as other pressing environmental problems.

4. AI can exacerbate global warming

When using machine learning models to train them, they use a lot of energy. This means they require fossil fuel to run which contributes to greenhouse gas emissions. This makes combatting climate change harder as well as impacting electricity distribution and use.

The Future of AI Is Uncertain

There are many questions that need to be answered regarding AI’s future, such as whether or not it could replace human intelligence, its effects on job opportunities, business operations and culture. The answers to these queries will shape our lives and work for years to come; fortunately we are on the brink of some major technological advancements in this area which promise to make our world much better.

The Impact of AI on Google Search

The impact of AI on Google search

AI is a powerful new tool that Google is developing to enhance its search results. Known as the Multitask Unified Model (MUM), it is trained across 75 languages to handle many different tasks at once. According to Sherry Bonelli of Early Bird Digital, MUM is capable of finding the answer to a complex search query using various sources and mediums.


Google recently announced its plans to use AI technologies to re-imagine Search. While the announcement did not mention a specific use case, the company did state that MUM could open deeper insights and take web searchers on new paths. For example, MUM could recommend new ways to search for information based on what users are already interested in. This could include suggestions for painting and cleaning tips, as well as queries about specific topics.

Google is constantly working on developing its AI systems to improve search results. The company has already deployed RankBrain, an AI system, to help process millions of search results. In addition, the AI system has been used to improve image recognition, video processing, and content analysis, all of which are improving the user experience. Ultimately, AI is set to play a key role in SEO in the coming years.

Machine learning is an essential component of search engine ranking. In addition to improving page rankings, AI also helps marketers gain insights from data. These insights can help them develop more cohesive strategies and better content.


RankBrain is a deep machine learning algorithm that helps Google understand the intent of a search query and produce the best possible search results. It’s not pre-programmed, so it learns from your past search habits and applies those inferences to future search results. This means that it doesn’t just display the first website that comes up when you search, but it also weeds out websites that are irrelevant to what you want.

RankBrain works by forming concepts from keywords and finding pages that best fit those concepts. Depending on the number of words in a search query, RankBrain will return pages with similar content, and it will validate its work with user feedback to improve its results in future searches.

RankBrain’s impact on Google’s search results will be gradual and minimal in the short term. The impact on the search experience will depend on the competitive keyword environment. Most sites will need to remain niche in order to avoid misclassification. They should also try to mimic the top sites in their niche.


AI-powered search engines are becoming more advanced and sophisticated. They are now able to understand the meaning of the words that users use when they type a query into Google. This technology will make the search process less repetitive and allow people to enter more conversational terms in their search queries. Google has announced that it will roll out these systems globally in all languages by the year 2022.

When the internet first began, search results were highly unpredictable. While companies like Yahoo! and AOL tried to understand user intent, their results were often unrelated. With the advent of AI, companies like Google and Bing have improved their algorithms. AI will continue to help businesses succeed in the digital age with search engine optimization techniques based on the data it collects from users.

Google RankBrain learns from entities that appear in search results. It looks for the relationship between two entities, which is called “Google relatedness”. Nike, Adidas, and Puma are all examples of entities that have a relationship with each other.

RankBrain’s successor

The latest updates to Google’s search algorithm are all about making it more relevant to your searches. To do that, Google has to collect information on nearly every topic. In addition, it must manage billions of directions requests. To make this possible, it’s creating a machine learning-based algorithm to connect the dots.

Although RankBrain is not yet fully functional, it has already made a major impact on online searches. The company initially decided to wait until the end of October before unveiling it publicly. This move was largely in response to the panic over a mobile-friendly algorithm update.

Google’s RankBrain algorithm works by reading search queries to build a knowledge base of the meaning and intent of each query. It then uses this knowledge to provide the most relevant content. It has also improved its ability to handle long-tail queries. This means that users searching for complex queries will get satisfying results faster. Moreover, it has better ability to handle voice search technologies. Users will be able to get accurate and relevant results when they speak their query into their smartphones.

The World’s Largest Tech Companies In 2022


Nvidia is a technology company that makes graphics processing units. It values human connection over profits and has been known to give its employees a week of paid vacation over the holiday season. It also has a generous employee stock purchase program. Since 2015, Nvidia has prioritized pay parity. The company also aims to improve the work environment for women. However, the gender pay gap increased in 2021 as a result of acquisitions, and the promotion rate decreased relative to 2020.


It’s not too early to predict whether Apple will be one of the world’s biggest tech companies in 2022. The company is already well ahead of rival Google and Microsoft. Apple’s revenue growth has accelerated in recent years, thanks to an expanding services business and sales of iPhones, iPads, and Macs. However, the company faces several challenges. Rising interest rates, inflation, and slowing economic growth have all put pressure on the company’s growth. However, Apple has been able to weather the toughest times better than its competitors.

The Worlds Largest Tech Companies In 2022


Microsoft, which was founded by Paul Allen and Bill Gates in 1975, produces computer software and consumer electronics, as well as other related solutions. Its products, such as Microsoft Office, have become an indispensable part of our daily lives. The company also has subsidiaries such as LinkedIn, Skype, and GitHub. Samsung Electronics, meanwhile, is a South Korean company founded in 1969. Its products include consumer electronics, medical devices, and entertainment and creativity software.


Samsung Group is one of the world’s largest technology companies, and the second largest electronics company by revenue. Founded in Daegu, South Korea, in 1969, the company has a global presence. While its initial decade was focused on trading groceries, it entered the electronics business in 1969, making its first foray into the home appliance market. The company’s current market cap is 7.2 percent lower than the projected market value in 2022, mainly due to slow demand for dynamic random-access memory, or DRAM. However, this decline is not permanent. According to research firm TrendForce, Samsung will still be one of the world’s largest technology companies by 2022.


Genesys is a leading provider of contact center software. It was acquired by Alcatel in 1999 and sold to Permira in 2012. The company’s technology powers more than 11,000 companies handling 70 billion customer interactions each year. Its customers include Verizon, which has added Genesys technology to its call centers. Genesys is considered a leader in its field by Gartner and spends $250 million annually on R&D. The company’s technological advancements have led to countless innovations that we take for granted today.


WorkWave is a software company that offers cloud-based services for service businesses. The company has expanded its operations over the last few years, and now employs more than 1,300 people in Boston. It also has offices in Tel Aviv, Ottawa, Zurich, and London. The company is gearing up for its IPO in 2022, and the website will keep you up to date with the latest updates.


After raising over $1 billion in a funding round in September 2016, Snyk is on track to become one of the largest tech companies in the world in 2022. The company has a mission of helping software development teams identify and fix vulnerabilities in code. It had more than 10,000 developers using its free tool. However, while the company wasn’t making a lot of money, it did have ambitious plans. It now employs more than 1,300 people and has ranked as the second largest private cybersecurity vendor in the world.


Nutanix is one of the leading hybrid multicloud computing companies. The company is making plans to expand its strategic partnerships with Red Hat and Citrix, and to reach a breakeven cash flow point by the end of the year. In addition, the company will double down on its Era database automation product, which enables companies to manage and maintain their data in the cloud.

Appian Corporation

Appian Corporation is a software company that provides low-code automation tools. Its platform helps organizations automate workflows, forms, and data structures. Its software is designed for business use, and it has almost 1,800 employees in more than 100 countries. It serves industries including healthcare, government, and financial services.