The Samsung Galaxy Z Fold 6 could come with the same camera hardware as its predecessor, the Galaxy Z Fold 5, and spell disappointment for foldable phone fans. 

Reliable tipster Ice Universe posted on X that not only will the rear camera configuration of Galaxy Z Fold 6 be the same as before, but the front camera and under-display snapper could also sport last-generation specs. 

Bitcoin’s price rose by 0.93 percent on Thursday ahead of the upcoming fourth Bitcoin halving process, raising the value of the currency to $66,615 (roughly Rs. 55.5 lakh), as per the crypto price tracker by Gadgets360. In the last 24 hours, the value of BTC rose by $468 (roughly Rs. 39,025). On international exchanges, meanwhile, BTC is trading at $70,530 (roughly Rs. 58.8 lakh).

“After a slight correction in prices, BTC has started to see strength again as the world’s number one crypto has found a new base close to $70,000 (roughly Rs. 58.3 lakh). It is yet to be seen, with just eight days remaining in Bitcoin halving, whether the heavy resistance zone at around $74,000 (roughly Rs. 61.7 lakh) gets finally breached before that or not,” the CoinSwitch markets desk said on Thursday.

Ether recorded a notable price hike of 5.35 percent in the last 24 hours, despite the market volatility. With this, the trading value of ETH has come to the mark of $3,355 (roughly Rs. 2.79 lakh) in India. Over the last day, Ether price has risen by $165 (roughly Rs. 13,758). On CoinMarketCap, Ether is trading at $3,560 (roughly Rs. 2.96 lakh).

“In the last 24 hours, the market experienced volatility following the announcement of higher-than-expected CPI data. This led to a brief dip in the crypto market. ETH continues to trade within a range, with the potential for an upward movement upon clearing the $3,650 (roughly Rs. 3.04 lakh) level,” the CoinDCX market desk told Gadgets360.

Tether, Binance Coin, Dogecoin, Avalanche, Leo, Cosmos, and Cronos emerged as other cryptocurrencies alongside BTC and ETH that saw their prices increase on Thursday.

However, other popular cryptocurrencies have dropped in value, thanks to the ongoing market volatility. Solana, Ripple, Cardano, Shiba Inu, and Polkadot found themselves on the loss-making side of the crypto chart.

The overall crypto market valuation currently sits atop the mark of $2.63 trillion (roughly Rs. 2,19,25,876 crore) and rose by 1.36 percent over the last 24 hours, according to CoinMarketCap.

“Increasing inflation has caused the interest rate futures to price in just two rate cuts in 2024 while this number was around six to eight cuts expected in the beginning of March. With interest rate not coming down, it becomes unlikely for people to keep investing in the risky asset classes like crypto,” the CoinDCX team told Gadgets360, advising investors to be cautious about making financial decisions.

Cryptocurrency is an unregulated digital currency, not a legal tender and subject to market risks. The information provided in the article is not intended to be and does not constitute financial advice, trading advice or any other advice or recommendation of any sort offered or endorsed by NDTV. NDTV shall not be responsible for any loss arising from any investment based on any perceived recommendation, forecast or any other information contained in the article. 

In a notable development for global manufacturing, reports indicate that Apple has substantially increased its iPhone production in India, reaching an impressive $14 billion worth during the last fiscal year. This surge represents a doubling of production capacity and accounts for approximately 14% of Apple’s total iPhone output. The move underscores Apple’s strategic efforts to diversify its manufacturing beyond its traditional stronghold in China, a decision likely influenced by ongoing geopolitical tensions.

Apple’s Make-in-India plan a huge success?

While the majority of the production in India currently focuses on models from the iPhone 12 to the latest iPhone 15, excluding the high-end Pro and Pro Max variants, it nonetheless signifies a significant milestone for India’s aspirations as a manufacturing hub. This trend aligns with a broader pattern observed across various industries, with companies such as Tesla, Cisco, and Google increasingly considering India for establishing hardware production facilities.

This shift is driven by several factors, including the desire to mitigate geopolitical risks, enhance resilience against supply chain disruptions, and address environmental, social, and governance (ESG) concerns. Analysts from Bloomberg Intelligence have noted that evolving business priorities necessitate reducing reliance on China’s tech supply chain, despite the inherent complexities and costs involved.

Beyond manufacturing, Apple’s recent establishment of its first two company-owned stores in India (New Delhi and Mumbai) signals a long-term commitment to the Indian market. Plans for further expansion with three additional stores by 2027 underscore Apple’s strategic vision for a more substantial retail presence in the country.

India’s success in attracting high-end manufacturing, bolstered by financial incentives from the government, has yielded significant economic benefits, including job creation. The Bloomberg report highlights that Foxconn Technology Group remains the primary assembler in India, followed by Pegatron Corp., with Wistron Corp.’s recent acquisition by the Tata Group further enhancing India’s manufacturing capabilities.

While China remains Apple’s largest manufacturing hub and a crucial market, challenges such as declining revenue and increasing competition pose strategic considerations. CEO Tim Cook’s recent engagements in China exemplify Apple’s delicate approach in maintaining relationships while pursuing geographic diversification.

Overall, the increased iPhone production in India underscores the country’s growing significance in the global manufacturing landscape and represents a strategic move by Apple towards a more diversified production base. This development holds promising implications for both the Indian economy and Apple’s global supply chain.

There’s every chance that the Samsung Galaxy Z Flip 6 will be the most popular foldable phone of the year. After all, it comes from the leader in the foldable space, and it’s likely to be far more affordable than the Samsung Galaxy Z Fold 6.

But that likely lower price doesn’t mean the specs won’t be up to scratch, as the Samsung Galaxy Z Flip 6 will probably have a top-end chipset, among other impressive specs. Then again, some aspects of the phone might be less impressive.

In February, Google took the wraps off Gemma, its family of lightweight Large Language Models (LLMs) for open-source developers. Researchers at Google DeepMind developed it intending to assist developers and researchers in building AI responsibly. It has now announced two new additions to Gemma – CodeGemma and RecurrentGemma. With this move, Google DeepMind aims to keep up the pace in the artificial intelligence (AI) race, facing competition from the likes of OpenAI and Microsoft. 

Also Read: Google Gemini AI images disaster – What really happened with the image generator?

While the company has found itself in hot waters over some of the AI capabilities of its most popular AI model, Gemini, it seems that the controversy has not slowed down researchers. These new AI models promise possibilities for innovation for Machine Learning (ML) developers. Know all about the two new Gemma AI models – CodeGemma and Recurrent Gemma.

Google CodeGemma

The first of the two new AI models is CodeGemma, a lightweight model with coding and instruction following capabilities. It is available in three variants:

1. 7B pre-trained variant for code completion and code generation tasks

2. 7B instruction-tuned variant for instruction following and code chat.

3. 2B pre-trained variant for quick code completion on local PCs.

Google says CodeGemma can not only generate lines, and functions but can even create blocks of code, irrespective of whether it is being used locally on PCs or via cloud resources. It has multi-language proficiency, meaning you can use it as an assistant while coding in languages such as Python, JavaScript and Java. The code generated by CodeGemma is not only advertised as being syntactically accurate but also right semantically. This promises to cut down on errors and debug time. 

Also Read: Know all about Gemma – Google’s family of LLMs

This new AI model is trained on 500 billion tokens of data which is primarily English, including code from publicly available repositories, mathematics and documents on the web. 

Google Recurrent Gemma

The other AI model, called RecurrentGemma, aims to improve memory efficiency by leveraging recurrent neural networks and local attention. Thus, it is meant for research experimentation. While it delivers similar benchmark performance to DeepMind’s Gemma 2B AI model, RecurrentGemma has a unique architecture that allows it to deliver on three fonts – reduced memory usage, higher throughput and research innovation.

Also Read: Apple in talks with Google over licensing Gemini for AI features on iPhones

As per Google, RecurrentGemma can generate longer samples even on devices with limited memory due to the lower memory requirements. This also allows the AI model to carry out inference in large batches, increasing the tokens per second. Google also says Transformer-based models like Gemma can slow down as sequences get longer. On the other hand, RecurrentGemma maintains its sampling speed irrespective of the sequence length.

Google says it shows a “non-transformer model that achieves high performance, highlighting advancements in deep learning research.”

One more thing! We are now on WhatsApp Channels! Follow us there so you never miss any updates from the world of technology. ‎To follow the HT Tech channel on WhatsApp, click here to join now!

I would be lying if I said that wearing Apple Vision Pro feels like you’re wearing nothing, so I’m not surprised that some overly enthusiastic wearers are complaining of headaches, neck aches, and even black eyes. It’s enough to prompt me, if not Apple to say, “You’re wearing it wrong.”

Apple is not saying that, though. In fact, after Marketplace published its report on Wednesday, Apple didn’t respond directly to the claims but did point to its Vision Pro guidelines.

The term ‘Metaverse’ originated in Neal Stephenson’s 1992 novel, Snow Crash, where it depicted a virtual realm offering an escape from reality for characters. Stephenson’s visionary concept of the Metaverse has since transitioned from fiction to (virtual) reality over the past decade. Augmented and virtual reality technologies have advanced the concept of the Metaverse, now capable of manipulating the real world and immersing users in digital experiences.

This year marked Apple‘s eagerly anticipated debut into this dynamic technology with the launch of its Apple Vision Pro. Apple refers to its brand of AR and VR metaverse technology as “spatial computing”, that “seamlessly blends digital content with the physical world”, using hand and eye tracking for a fluid digital experience. The technology, coming in with a hefty price tag of $3,499, hasn’t been enough to put off Apple enthusiasts, with analysts suggesting that initial sales have been between 160,000 and 200,000.

Xiaomi 14 Ultra was launched in India on March 7, weeks after its global debut at the Mobile World Congress (MWC) 2024. The phone is powered by the Qualcomm Snapdragon 8 Gen 3 chipset and carries a 5,000mAh battery with both wired and wireless fast charging support. It is equipped with a 50-megapixel quad rear camera unit and a 32-megapixel selfie camera. The handset is now available for purchase in India in two colourways.

Xiaomi 14 Ultra price in India, availability

Xiaomi 14 Ultra carries a price tag of Rs. 99,999 in India. It is now available for purchase in the country via Flipkart, the Xiaomi India website, and select retailers. The phone is offered in two colour options – Black and White, both of which come in vegan leather finishes.

Xiaomi 14 Ultra specifications, features

The Xiaomi 14 Ultra sports a 6.73-inch WQHD+ (3,200 x 1,440 pixels) LTPO AMOLED micro-curved display with up to 120Hz refresh rate, 3,000 nits of peak brightness level, and 1,920Hz PWM dimming rate as well as Doby Vision and HDR10+ support. The handset is equipped with Qualcomm’s Snapdragon 8 Gen 3 SoC paired with 16GB of LPDDR5X RAM and 512GB of UFS 4.0 onboard storage. The top-of-the-line Xiaomi 14 model also ships with Android 14-based HyperOS.

For optics, the quad rear camera unit of the Xiaomi 14 Ultra includes a 50-megapixel Sony LYT900 primary sensor with optical image stabilisation (OIS) support, another 50-megapixel sensor with an ultra-wide lens, and two 50-megapixel Sony IMX858 sensors, with 3.2x optical zoom and 5x optical zoom, respectively. The front camera is equipped with a 32-megapixel sensor.

The Xiaomi 14 Ultra is backed by a 5,000mAh battery with support for 90W wired and 80W wireless fast charging. The phone also has an IP68 rating for dust and splash resistance and an in-display fingerprint sensor for security. It also supports 5G, Wi-Fi, Bluetooth 5.4, NFC, GPS, GLONASS, Galileo, BeiDou, NavIC, and USB Type-C connectivity. The handset measures 161.4mm x 75.3mm x 9.20mm and weighs 219.8g.

Starting April 10, the US Federal Communication Commission (FCC) will require internet service providers (ISP) to begin displaying information about their service in a clear and concise manner. The format for the details resembles nutrition labels, like you see on food boxes. But instead of calories, sugars, and fats, the FCC’s Broadband Labels will show off monthly subscription costs, download speeds, and more. 

The purpose of these new rules is to help customers shop around for the best ISP knowing everything the service will provide without the misleading language. It aims to make things more transparent between you and the company so you won’t be sucker punched by a fee you didn’t know was there.

We could be on the cusp of a whole new realm of AI large language models and chatbots thanks to Meta’s Llama 3 and OpenAI’s GPT-5, as both companies emphasize the hard work going into making these bots more human. 

In an event earlier this week, Meta reiterated that Llama 3 will be rolling out to the public in the coming weeks, with Meta’s president of global affairs Nick Clegg stating that we should expect the large language model “Within the next month, actually less, hopefully in a very short period, we hope to start rolling out our new suite of next-generation foundation models, Llama 3.”

Meta’s large language models are publicly available, allowing developers and researchers free and open access to the tech to create their bots or conduct research on various aspects of artificial intelligence. The models are trained on a plethora of text-based information, and Llama 3 promises much more impressive capabilities than the current model.