TL;DR: New users can get lifetime access to all 14 languages on Babbel for $159 with promo code LEARN until September 8.

You can only point at a menu and smile for so long before it’s time to speak the local lingo. If your version of “fluent” means Googling phrases at dinner, it might be time for a smarter approach.

Babbel gives travelers real tools to speak confidently — not just vocabulary lists or parroting random sentences. With 14 languages (and a lifetime to learn them), you can prep for your trip to Italy, brush up on your high school Spanish, or finally learn how to order coffee in Paris without breaking into a sweat. Through September 8, use code LEARN to take advantage of this exclusive offer for $159 (MSRP $299).

Lessons are just 10 to 15 minutes, so you can sneak in some practice between passport renewals and packing lists. And unlike some apps that feel more like games, Babbel focuses on useful conversations: directions, transportation, dining, shopping, and even making pals abroad.

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Download the app, pick a language (or all 14), and start sounding like a local before your next flight boards.

Grab this lifetime subscription to Babbel Language Learning for just $159 when you use promo code LEARN at checkout by September 8 — way less than a single semester of college Spanish.

Babbel Language Learning: Lifetime Subscription (All Languages)

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What you need to know

• Google’s August roundup for Gemini Drops details the latest updates for the AI, such as “Guided Learning” for students.
• This is a step-by-step guided learning experience that students can use to gain a little more understanding for complex topics.
• Other updates include Gemini’s storybook update for full AI-illustrated stories for kids, “personal context” in the Gemini app, and Temporary Chats.

After introducing it in July, Google’s back once again with its Gemini Drops, and August has a lot going on.

Earlier today (Aug 13), Google highlighted its August edition of Gemini Drops, detailing everything new that’s been announced and still on the way to users. One of its major updates is “Guided Learning” for students, which they can use to ask for step-by-step help with Gemini. Students looking to study with a little more depth (and assistance) can provide Gemini with all the details they can before, and let the AI break it down in a more digestible fashion.

Google states in today’s post that Gemini will also create “images, diagrams, videos, and interactive quizzes” to further enhance a student’s learning experience.

Elsewhere, Google is highlighting its newest Storybook update for Gemini. Parents can now create illustrated and AI-voiced storybooks for their kids using their own photos, their child’s drawings, and more. The company states that parents can tell Gemin to create a specific story based on a photo, and tell the AI their child’s age and interests to help create a short storybook they might enjoy.

This storybook feature is available for users globally on computers and mobile devices.

From Fun & Intuitive to new Gemini intelligence

There is an update that concerns Gemini Ultra subscribers this month, and that’s the AI’s “Deep Thinking” upgrade. As Google states, Deep Thinking enables the AI to understand and provide better answers for users with complex math and coding problems. The company states Deep Thinking upgrades Gemini’s “reasoning,” likely making the answers it returns more comprehensive.

A big Gemini update just started rolling out this week, which Google briefly mentions, and that involves “personal context.” Essentially, the personal context feature enables Gemini to remember and callback to previous chats you’ve had with it. These older chats will help it remember key details about you automatically without you needing to repeat yourself. If you’ve previously asked Gemini for a recipe, but said you were allergic to a specific seasoning, the next time you look for inspiration, Gemini will (ideally) keep that allergy in mind.

Of course, the AI can still mess up, so it’s always worth keeping an eye out for that. Additionally, “Temporary Chats” arrive, giving users a little more privacy when asking questions that you don’t want Gemini to remember. Temporary Chats were announced on August 13, but Google states this will take some time to reach more users, so it might take a few weeks.

Google first introduced Gemini Drops in July, where it creates a complete roundup of the latest updates for the AI.

What you need to know

• A user on Telegram posted a snapshot of a feature in testing for the Google Translate app known as “Practice.”
• Another tipster chimed in, diving into the app’s APK, discovering that users could find guided listening and speaking practices/quizzes for new languages.
• There’s no telling when this could arrive; however, the feature seems mostly put together, meaning we could be approaching its arrival.

There’s a new feature rumored for the Google Translate app that might take on some popular language learning apps (looking at you, Duolingo).

An APK teardown conducted by Android Authority after an alleged discovery by Telegram user Mehrad suggests Google Translate might get a new “Practice” button. According to the Telegram post, the company is seemingly working on a way for users to practice new languages, similar to Duolingo. Mehrad was able to screenshot a “Practice Spanish” menu, which displays the user’s goal (how well they want to speak), Daily Activities, and Words Practiced.

Also, it was nearly cut off, but there’s a button that says “create your own practice scenario,” which could come in handy if you’re trying to gauge your abilities in specific situations.

On the other hand, the publication, alongside tipster AssembleDebug, dove into the Translate app’s code to discover a new graduation cap icon representing “Practice.” Google’s tagline reads, “practice with AI-powered conversations.” The app gives several “recommended” scenarios, encompassing both listening and speaking practices. When listening, users are given an audio clip and asked to tap which words they recognize.

After it’s done, and you’ve seen how well you faired, the Translate app lets users adjust the difficulty of its generated scenarios.

When creating a pretend custom speaking scenario, the tipster highlights the ability for users to write their own situation or choose a recommended one. From there, users are presented with a selection of “tasks” to complete before getting the chance to speak into the app. There’s also a “proficiency” level users can select, which is how well they’re able to speak the language they want to learn. The post states there were options present for “Just Starting, Basic, Intermediate, and Advanced.”

The tipster also discovered a quiz function that’s created using “rounds.” From both Mehrad’s screenshot on Telegram and the tipster’s APK deep dive, it seems Google Translate’s language learning feature is nearly completed. There’s no telling when it could arrive officially, but perhaps it’s soon.

Breaking barriers

Earlier in June, we heard rumors about a design shakeup for the Google Translate app that could incorporate more features. The “more translations” header was discovered, giving users more insight into the other ways a word could be translated in other languages. Other additions, like “Regional Variants,” were discovered, as well as “Ask a question.”

Much of this has some of Google’s AI intelligence under the hood, helping users find the answers they’re after.

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Despite a rollercoaster few years that have seen the Bitcoin price hit multiple new all-time highs, other high-cap cryptocurrencies like Dogecoin have failed to do the same. In fact, the highest the Dogecoin price has gotten in the last three years is $0.5, which is still a ways away from the $0.74 figure that was hit back in 2021. Calls for $1 for the meme coin have also died down as it continues to decline and struggle along with the rest of the altcoin market.

Can Dogecoin Price Reach $1?

When it comes to the Dogecoin price, expectations continue to falter, especially as the price remains low with resistance mounting at $0.2. To reach the $1 mark, the price would have to rally by 500% from its current level, and with trading volumes and interest so low, the possibility of this happening grows dimmer by the day.

In the same vein, the algorithm at CoinCodex has also followed the bearish school of thought, with a drawn-out timeframe for when it expects the Dogecoin price to hit $1. According to the algorithm, the Dogecoin price will not be hitting the $1 level in the year 2025, or anytime soon after that.

The predictions show that the highest level the Dogecoin price could reach this year is $0.289. As the year moves forward, it expects the price to trend lower, not seeing more than a 54% price increase after the month of September.

Nevertheless, it does expect the price to be higher than where it is now, with an average 25% increase from the current level. It also signals the current level as a buy point with the possibility of making around a 35% increase in the month of June.

DOGE Won’t Hit $1 Until After 2030

The longer-term predictions for the Dogecoin price show more recovery for the price. But reaching the $1 level is not something that the algorithm believes will happen in the next half a decade. In fact, from 2025 through to 2030, it predicts that the Dogecoin price will not rise to its current all-time high of $0.74.

For those waiting for the Dogecoin price to hit $1, it shows that the price will hit this level sometime after 2030, putting it above $1 in 2040. This could mean that the meme coin would take almost a decade to reach the coveted $1 target.

However, in the short term, the algorithm does see some positive prospects for the Dogecoin price. It predicts that DOGE will rise to $0.236 in the next month, which would be a 17.67% increase from the current level.

Featured image from Dall.E, chart from TradingView.com

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The Ethereum price could face another significant crash, as the machine learning algorithm, CoinCodex, predicts a sharp decline toward $1,500. After enduring four consecutive months of sideways trading and bearish closes, technical indicators and sentiment data are flashing warning signs of an impending correction in the coming weeks.  

Ethereum Price Crash To $1,526 Incoming

According to CoinCodex’s latest Ethereum price prediction, ETH is expected to decline by 16.47% over the coming weeks, potentially reaching $1,526.06 by June 2, 2025. This bearish projection comes amidst a turbulent market cycle in which investor sentiment and confidence have wavered due to rising macroeconomic pressures and unexpected declines in Bitcoin. 

Related Reading

Notably, Ethereum’s technical outlook continues to deteriorate as it just wrapped up its fourth consecutive monthly red candle. Cryptorank’s data shows that Ethereum experienced a dip of 1.27% in January, followed by sharper losses of 32.2% in February and 18.4% in March. The downtrend continued into April, with the cryptocurrency closing the month in red with another 1.58% decline. 

Despite brief intra-month rallies that saw its value rise sharply, Ethereum has consistently failed to sustain gains, closing each month with rising selling pressure and leading the wider market drawdown. CoinCodex’s data further paints a grim picture, highlighting that the top altcoin has recorded 16 green days out of the last 30, signaling unstable market strength. Its price volatility, measured at 6.43%, also reflects a choppy market that lacks clear bullish conviction. 

Moving forward, CoinCodex not only predicts that Ethereum could break down to $1,526 but also expects a steeper price crash to $1,447.96 by August 1, 2025. This would represent a decline of approximately 20.75% from current market prices.

The machine learning algorithm has declared that broader market sentiment for ETH is currently bearish, implying that traders and investors still anticipate further corrections and limited upward momentum in the near term. Overall, this indicates a cautious outlook for Ethereum’s price prospects.

CoinCodex Says Now Is A Bad Time To Buy ETH

Given its bearish forecast for the Ethereum price, CoinCodex suggests that now may not be the best time to buy Ethereum. Interestingly, while investor sentiment remains cautious, the Fear and Greed index is at 65, reflecting a state of “Greed” and suggesting that market optimism may be outpacing the underlying bearish fundamentals. 

Related Reading

Building on this, crypto whales are still buying ETH in droves, capitalizing on low prices despite the possibility of a continued downtrend. Recent reports reveal that a single whale purchased 30,000 ETH tokens worth approximately $54 million.

With price momentum fading and macro uncertainty still high, ETH bulls may need to wait for market stabilization and clearer reversal signals before re-entering the market. According to CoinMarketCap’s data, the Ethereum price is currently trading at $1,827, marking a yearly decline of over 38%.

Featured image from Unsplash, chart from Tradingview.com

Machine learning is the most revolutionary trend in the domain of technology right now with a wide range of benefits. It can not only help in analysis of massive datasets but also supports the automation of tasks and drawing predictions based on data. We have a new machine learning fundamentals course launched for everyone who wants to navigate the world of AI. The ML course is not just a manual for beginners but also a comprehensive learning resource for professional development.

Considering the significance of machine learning in creating a strong ecosystem of AI applications and systems, ML expertise can bring many career opportunities. You can use your understanding of machine learning fundamentals to pursue any job in AI across different industries. The new ML Fundamentals course gives you the perfect introduction to machine learning alongside insights on practical uses of ML. Let us take a look at the most striking details of our new machine learning course and how it can help you.

Gain a solid foundation in machine learning with Machine Learning Fundamentals Course, understand the real-world impact of various ML techniques, and build the skills to apply predictive analytics and optimization effectively.

Machine Learning Fundamentals Course

The foremost thing about the new ML Fundamentals course that grabs attention is the set of benefits it offers. You can make the most of the new course to learn machine learning from scratch and gain expertise in important concepts of machine learning. The learning objectives of the course will provide the ideal reasons to enroll in it right now.

The machine learning fundamentals training course includes the simplest and most comprehensive introduction to the basic concepts of machine learning. Learners can figure out the significance of machine learning and its fundamental components. The course sheds light on the different types of machine learning approaches, such as supervised, unsupervised, and reinforcement learning, with real-world examples. 

One of the most notable aspects of the ML Fundamentals course is the focus on machine learning algorithms such as neural networks, decision trees, and support vector machines. You can know how these algorithms support tasks such as model optimization and predictive analytics. The ML course also includes lessons on evaluation metrics such as precision and recall to measure the performance and reliability in practical tasks.        

Target Audience for the Machine Learning Fundamentals Course 

The new machine learning course launched on our platform is more than an introduction to the concepts of machine learning. It is the most trusted choice for anyone who wants to learn about artificial intelligence and machine learning. The course helps in overcoming all your doubts and earning the confidence to pursue a career in machine learning. The ML Fundamentals course is the perfect pick for the following groups and offers distinct advantages.

• Anyone who wants to dive into the exciting domain of AI and machine learning must choose this course to begin their journey.
• Software developers and software engineers can use the course to add new skills to their portfolio for professional growth.
• Innovation managers and entrepreneurs should rely on this course to explore new business ideas based on machine learning.
• Information technology professionals will find the ML course useful for discovering innovative ways to build powerful ML solutions.

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Basic Information about the Machine Learning Fundamentals Course

The basic information of the ML Fundamentals training course will help in discovering its actual value for learners. The learning objectives and lessons covered in the course can show what you have to gain from it. You can cover the following learning objectives in the course to enhance your machine learning expertise.

• Gain in-depth knowledge of different types of machine learning and their applications in real-world problems.
• Discover the applications of ML algorithms like decision trees, neural networks, and support vector machines for predictive analytics and optimization.
• Explore the utility of evaluation metrics such as precision and recall to verify model performance and reliability in different scenarios.

You can trust our ML course, which was launched for beginners to accomplish the learning objectives in different modules. The following lessons in the machine learning fundamentals course give you the ideal direction for becoming an ML expert for different industries.

• Fundamental concepts of machine learning
• Introduction to supervised learning
• Implementation of unsupervised learning
• Examples of reinforcement learning 
• Core machine learning techniques and algorithms
• Methods to evaluate and validate ML models

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Top Reasons to Choose the Machine Learning Fundamentals Course

The ML Fundamentals training course provides a comprehensive guide to understanding the basic concepts of machine learning. On top of it, the course also helps you earn the skills to use machine learning for solving real-world problems. The following reasons showcase why it is a game-changer in ML training and education.

• Learn Under a Qualified Instructor

The most interesting highlight of the new ML course is the opportunity to learn under the guidance of a qualified instructor. You will not only get lecture videos on machine learning but also the assurance of personalized guidance whenever required. The experience of the course instructor serves a huge advantage for learners, which is clearly evident in the course content.

• Convenient Learning Experience

The ML Fundamentals training course is a self-paced training course that makes learning more convenient. You can complete the machine learning course with a certificate of completion at your own pace without compromising other responsibilities. The flexibility to complete the course without any fixed deadline is an advantage for learners who have professional responsibilities.

The practical applications of machine learning covered in the training course give a clear impression of how it supports practical training. You will find the course useful for learning about the real-world applications of machine learning. The opportunity to learn practical skills with hands-on exercises provides an additional edge in career development for ML experts.

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Final Thoughts 

The machine learning fundamentals course launched for beginners is a detailed guide on the basic concepts of machine learning. You can discover insights on the types of machine learning and their uses in real-world problems. On top of it, the course also includes lessons on machine learning algorithms and techniques to evaluate and validate machine learning models. The hands-on exercises covered in the course offer promising advantages for learners by helping them figure out how to use their skills. Discover more details about the machine learning fundamentals course and move toward a promising career as an ML expert now.

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Coincodex’s machine learning algorithm predicted that the Dogecoin price could surge 229.55% to $0.57. The algorithm also revealed when the foremost meme coin could reach this price target. 

Machine Learning Algorithm Predicts Dogecoin Price Surge To $0.57

The machine learning algorithm predicted that the Dogecoin price could surge $0.57 by April 28, later this month, representing a 229.55% gain for the foremost meme coin. This bullish prediction comes despite DOGE’s decline, thanks to the broader crypto market crash, led by Bitcoin, which is attempting to test new lows. 

As Bitcoinist reported, the Dogecoin price also just witnessed its worst Q1 return in seven years, recording a loss of 47%. Coincodex’s machine learning algorithm also noted that the current sentiment is bearish according to technical indicators, while the Fear and Greed index indicates fear among market participants.

Despite the current bearish sentiment, crypto analyst Javon Marks has also made a similar prediction to the machine learning algorithm. In an X post, he predicted that DOGE could record a 270% rally to $0.65. The analyst noted that the foremost meme coin is holding another set of higher lows and that a surge in price to higher levels has occurred each time this has happened. 

Meanwhile, crypto analyst Master Kenobi predicted that the Dogecoin price could reach the much-anticipated $1 level by June. This came as he noted that the meme coin was mirroring a bullish pattern from the 2017 bull run. Based on this, he believes that DOGE could reach this price level in the second phase of its bull run. He suggested that Dogecoin is about to enter this second phase, predicting a similar breakout to the one that occurred in September last year. 

A DOGE Rebound Is Coming

In an X post, crypto analyst Trader Tardigrade stated that a J-shaped rebound is coming for the Dogecoin price. He noted that DOGE hit its current all-time high (ATH) after accumulation and retraced back. Now, the analyst affirmed that it is time for the foremost meme coin to rebound. His accompanying chart showed that Dogecoin could hit a new ATH of $3.7 following this bullish reversal.  

Commenting on the current price action, crypto analyst Ali Martinez noted that the Dogecoin price is trading at the lower boundary of a parallel channel. At the same time, he revealed that the TD Sequential indicator printed a buy signal on the weekly chart, suggesting that the foremost meme coin could soon rebound. His accompanying chart showed that DOGE could reach the mid-range of this channel at $4.  

At the time of writing, the Dogecoin price is trading at around $0.17, up over 1% in the last 24 hours, according to data from CoinMarketCap.

Featured image from Adobe Stock, chart from Tradingview.com

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After experiencing a massive price crash, Dogecoin (DOGE) and Shiba Inu (SHIB) continue to struggle to recover, currently trading at significant lows. Despite this broader market downtrend, the Machine Learning Algorithm CoinCodex shares an optimistic forecast, offering a glimmer of hope in this bearish market.

Dogecoin Price Prediction From 2025-2030

CoinCodex has shared a price prediction for Dogecoin, signaling potential long-term gains for the number one meme coin. For its 2025 price prediction, the machine learning algorithm has shared Dogecoin’s next major targets for the next few months. 

The machine learning algorithm expects Dogecoin to experience a 170.4% rally compared to current rates, potentially pushing the meme coin’s value to a $0.7 price high and an average of $0.44. Notably, CoinCodex has acknowledged that its bullish projection for March comes after Dogecoin’s severe price decline in the past few months. This means that the machine learning algorithm expects a strong reversal before the end of this month.

After its potential surge in March, Dogecoin is forecasted to correct down to $0.59, reflecting a 261.6% increase from its current market price. From May to December 2025. CoinCodex also predicts a gradual decline from Dogecoin’s March peak. Despite this, the meme coin’s projected price for each month would still be higher than its current market value of $0.17. 

In 2026, Dogecoin is predicted to trade within a price channel between $0.139 and $0.23. This marks a significant decline from the previous year. Nevertheless, CoinCodex has stated that the most bullish period for Dogecoin in 2026 would be in January. By that time, the meme coin is expected to surge 45.6% higher than its current market price. 

The machine learning algorithm highlights that 2027 will be a bearish year for Dogecoin. The meme coin is forecasted to crash to new lows of $0.14 in September and hit a price high of $0.18 in November. Fortunately, DOGE’s price is expected to rebound in 2028 and continue this bullish trend until 2029. By 2030, the meme coin is projected to experience considerable growth, with an expected trading range between $0.18 and $0.41. 

Shiba Inu Price Prediction From 2025-2030

For the next few months of 2025, the Shiba Inu price is projected to experience slow growth, with its highest surge expected in August. Before the end of March, CoinCodex predicts that SHIB will experience a 19.16% price rally to reach a $0.000026 price high and an average of $0.000015.

From April to July, the meme coin is expected to undergo a gradual correction, trading slightly above the $0.00001 threshold. By August, CoinCodex projects that Shiba Inu will skyrocket by 337%, potentially pushing it between the range of $0.000011 to $0.000053. This bullish momentum is expected to continue in the next month, declining slightly by October before jumping again to trade between the range of $0.000019 and $0.000028 by November and December 2025.  

In 2026, Shiba Inu is projected to trade between $0.000011 and $0.000026, signaling a significant decrease from its previous year. Similar to Dogecoin, CoinCodex predicts that SHIB will be bearish in 2027 but recover slightly by 2028. This bullish trend is expected to continue until 2029 and rapidly increase in 2030.

Featured image from iStock, chart from Tradingview.com

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Who are they? Richard Sutton and Andrew Barto are pioneers of reinforcement learning, a machine learning technique modern AI models utilize. Sutton is often referred to as the “father of reinforcement learning” and serves as a professor at the University of Alberta. Barto is a professor emeritus at the University of Massachusetts. Both scientists are not particularly pleased with how AI companies are applying their life’s work.

Richard Sutton and Andrew Barto won this year’s Turing Award, considered the Nobel Prize for computing, for their significant contributions to machine learning development. The two researchers are now speaking out against OpenAI, Google, and other AI companies releasing potentially dangerous software to end customers. They criticized ChatGPT as just a money-making machine that will never produce a working artificial general intelligence (AGI).

Sutton and Barto developed reinforcement learning (RL) during the 1980s, inspired by behaviorist psychology. Reinforcement learning is one of the three basic machine learning paradigms, along with supervised and unsupervised learning. Reinforcement learning teaches AI agents, through trial and error, to make decisions that achieve the most optimal results, similar to how humans learn.

OpenAI, Google, and other corporations build their AI platforms with RL. Financial Times notes that Barto believes that bringing this kind of AI software to millions of people without safeguards is inherently wrong. Using a metaphor, Sutton and Barto pointed out that most or all AI companies are building a bridge and testing its structural integrity by opening it to the public.

Barto says that sound engineering practices suggest that developers try to mitigate the negative consequences of technology. Neither OpenAI nor any other AI-focused company is doing that. Current AI models make errors, hallucinating non-existing “facts” with binary confidence, but the companies behind them are collecting billions of dollars in unprecedented funding campaigns.

“The idea of having huge data centers and then charging a certain amount to use the software is motivating things, and that is not the motive that I would subscribe to,” Barto said.

For-profit companies only seek money-making opportunities. The eventual event of one of them bringing the first (AGI) onto the world is just bragging rights; even those are leveraged to boost sales.

Proponents of AGI think that this kind of superhuman, all-digital intelligence is almost here and will radically revolutionize technology and everything else. Sutton suggested that AGI is just a buzzword for marketing campaigns. Barto remarked that companies developing AI need to gain a better understanding of how the human mind works before they can responsibly build systems with human-level intelligence.