OnePlus 13s leaks ahead of launch next week in India: Expected to debut with Qualcomm Snapdragon 8 Elite SoC, 5850mAh battery, 3 color options, and more

OnePlus 13s leaks: Get ready to see what smartphones will look like in the future! Finally, OnePlus has revealed the OnePlus 13s, its newest flagship device. This phone is expected to transform the market because of its powerful specifications, sleek design, and amazing photographic skills.
The OnePlus 13s, which is reasonably priced in India, is expected to strong-arm other leading manufacturers seriously. However, what distinguishes this gadget? Let's examine the specifics.
With its long-lasting battery, lightning-fast charging, and gorgeous display, the OnePlus 13s looks ideal. Continue reading to learn more about its features, specs, sale information, and what to anticipate from this powerful smartphone.
OnePlus 13s launch date (Confirmed)
Proportioned for power. #OnePlus13s will be here June 5th, 12 noon.https://t.co/VvS8yqLYnK pic.twitter.com/EZ9VOHsBSe
On June 5 at 12 PM IST, the OnePlus 13s will formally launch in India. Amazon, the official OnePlus website, and retail locations will soon offer the OnePlus 13s in India.
OnePlus 13s camera details
From blur to brilliance.#OnePlus13shttps://t.co/TrK1GpIYc7 pic.twitter.com/8xTRf8TK4a
The company has verified some of the device's specifications, including the selfie sensor. In India, the OnePlus 13s—the renamed OnePlus 13T first released in China—will have a 32MP front-facing camera for selfies, while the Chinese version features a 16MP sensor.
Therefore, the update reveals that OnePlus intends to provide the best possible value with the device. In particular, Indian customers spending money on high-end cameras expect a terrific camera.
OnePlus 13s expected specifications
The design of the OnePlus 13s will be elegant, small, fashionable, and affordable. It weighs about 185 grams and has 150.8 x 71.7 x 8.2 mm dimensions.
The display features a vertical dual-camera arrangement on the back and a punch-hole front camera with thin bezels.
This year, the classic Alert Slider has been replaced by a new "Plus Key"—a customizable button that users may choose for functions like turning on the flashlight or opening the camera.
The OnePlus 13s will be available in three distinct finishes: green silk, pink satin, and black velvet.
A rebranded version of the China-only OnePlus 13T, the OnePlus 13s will have a 6.32-inch OLED screen with a refresh rate of 120 Hz and 1.5K resolution.
It will have 512GB of internal storage, up to 12GB of RAM, and a Qualcomm Snapdragon 8 Elite processor.
The gadget will be powered by a 6,260mAh battery that supports 90W rapid charging.
A 50MP rear camera with a primary lens and a 2x optical zoom telephoto lens will be included in the OnePlus 13s. A 16MP camera for video calls and selfies is located on the front.
Also Read: OnePlus 13s vs OnePlus 13: From 6.32-inch OLED panel to 6,260mAh battery - 5 big changes you can expect to come on 5th June
OnePlus 13s expected price
We have an estimate of the price of OnePlus's upcoming 13s smartphone, even though the company has not yet made an official announcement. According to Robin Liu, CEO of OnePlus India, in an exclusive interview with Gadgets 360, the OnePlus 13s would cost between Rs. 42,999 to Rs. 69,999, which is the pricing range between the flagship OnePlus 13 and the less expensive OnePlus 13R.
For the latest and more interesting tech news, keep reading Indiatimes Tech.

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Business Standard

an hour ago

• Business Standard

Global AI gap widens as compute power divides nations, economies

By Adam Satariano and Paul Mozur Graphics by Karl Russell and June Kim Last month, Sam Altman, the chief executive of the artificial intelligence company OpenAI, donned a helmet, work boots and a luminescent high-visibility vest to visit the construction site of the company's new data center project in Texas. Bigger than New York's Central Park, the estimated $60 billion project, which has its own natural gas plant, will be one of the most powerful computing hubs ever created when completed as soon as next year. Around the same time as Altman's visit to Texas, Nicolás Wolovick, a computer science professor at the National University of Córdoba in Argentina, was running what counts as one of his country's most advanced AI computing hubs. It was in a converted room at the university, where wires snaked between aging AI chips and server computers. Artificial intelligence has created a new digital divide, fracturing the world between nations with the computing power for building cutting-edge AI systems and those without. The split is influencing geopolitics and global economics, creating new dependencies and prompting a desperate rush to not be excluded from a technology race that could reorder economies, drive scientific discovery and change the way that people live and work. The biggest beneficiaries by far are the United States, China and the European Union. Those regions host more than half of the world's most powerful data centers, which are used for developing the most complex AI systems, according to data compiled by Oxford University researchers. Only 32 countries, or about 16 percent of nations, have these large facilities filled with microchips and computers, giving them what is known in industry parlance as 'compute power.' The United States and China, which dominate the tech world, have particular influence. American and Chinese companies operate more than 90 percent of the data centers that other companies and institutions use for AI work, according to the Oxford data and other research. In contrast, Africa and South America have almost no AI computing hubs, while India has at least five and Japan at least four, according to the Oxford data. More than 150 countries have nothing. Today's AI data centers dwarf their predecessors, which powered simpler tasks like email and video streaming. Vast, power-hungry and packed with powerful chips, these hubs cost billions to build and require infrastructure that not every country can provide. With ownership concentrated among a few tech giants, the effects of the gap between those with such computing power and those without it are already playing out. The world's most used AI systems, which power chatbots like OpenAI's ChatGPT, are more proficient and accurate in English and Chinese, languages spoken in the countries where the compute power is concentrated. Tech giants with access to the top equipment are using AI to process data, automate tasks and develop new services. Scientific breakthroughs, including drug discovery and gene editing, rely on powerful computers. AI-powered weapons are making their way onto battlefields. Nations with little or no AI compute power are running into limits in scientific work, in the growth of young companies and in talent retention. Some officials have become alarmed by how the need for computing resources has made them beholden to foreign corporations and governments. 'Oil-producing countries have had an oversized influence on international affairs; in an AI-powered near future, compute producers could have something similar since they control access to a critical resource,' said Vili Lehdonvirta, an Oxford professor who conducted the research on AI data centers with his colleagues Zoe Jay Hawkins and Boxi Wu. AI computing power is so precious that the components in data centers, such as microchips, have become a crucial part of foreign and trade policies for China and the United States, which are jockeying for influence in the Persian Gulf, in Southeast Asia and elsewhere. At the same time, some countries are beginning to pour public funds into AI infrastructure, aiming for more control over their technological futures. The Oxford researchers mapped the world's AI data centers, information that companies and governments often keep secret. To create a representative sample, they went through the customer websites of nine of the world's biggest cloud-service providers to see what compute power was available and where their hubs were at the end of last year. The companies were the US firms Amazon, Google and Microsoft; China's Tencent, Alibaba and Huawei; and Europe's Exoscale, Hetzner and OVHcloud. The research does not include every data center worldwide, but the trends were unmistakable. US companies operated 87 AI computing hubs, which can sometimes include multiple data centers, or almost two-thirds of the global total, compared with 39 operated by Chinese firms and six by Europeans, according to the research. Inside the data centers, most of the chips — the foundational components for making calculations — were from the US chipmaker Nvidia. 'We have a computing divide at the heart of the AI revolution,' said Lacina Koné, the director general of Smart Africa, which coordinates digital policy across the continent. He added: 'It's not merely a hardware problem. It's the sovereignty of our digital future.' 'Sometimes I Want to Cry' There has long been a tech gap between rich and developing countries. Over the past decade, cheap smartphones, expanding internet coverage and flourishing app-based businesses led some experts to conclude that the divide was diminishing. Last year, 68 percent of the world's population used the internet, up from 33 percent in 2012, according to the International Telecommunication Union, a United Nations agency. With a computer and knowledge of coding, getting a company off the ground became cheaper and easier. That lifted tech industries across the world, be they mobile payments in Africa or ride hailing in Southeast Asia. But in April, the U.N. warned that the digital gap would widen without action on AI Just 100 companies, mostly in the United States and China, were behind 40 percent of global investment in the technology, the U.N. said. The biggest tech companies, it added, were 'gaining control over the technology's future.' The gap stems partly from a component everyone wants: a microchip known as a graphics processing unit, or GPU. The chips require multibillion-dollar factories to produce. Packed into data centers by the thousands and mostly made by Nvidia, GPUs provide the computing power for creating and delivering cutting-edge AI models. Obtaining these pieces of silicon is difficult. As demand has increased, prices for the chips have soared, and everyone wants to be at the front of the line for orders. Adding to the challenges, these chips then need to be corralled into giant data centers that guzzle up dizzying amounts of power and water. Many wealthy nations have access to the chips in data centers, but other countries are being left behind, according to interviews with more than two dozen tech executives and experts across 20 countries. Renting computing power from faraway data centers is common but can lead to challenges, including high costs, slower connection speeds, compliance with different laws, and vulnerability to the whims of American and Chinese companies. Qhala, a start-up in Kenya, illustrates the issues. The company, founded by a former Google engineer, is building an AI system known as a large language model that is based on African languages. But Qhala has no nearby computing power and rents from data centers outside Africa. Employees cram their work into the morning, when most American programmers are sleeping, so there is less traffic and faster speeds to transfer data across the world. 'Proximity is essential,' said Shikoh Gitau, 44, Qhala's founder. 'If you don't have the resources for compute to process the data and to build your AI models, then you can't go anywhere,' said Kate Kallot, a former Nvidia executive and the founder of Amini, another AI start-up in Kenya. In the United States, by contrast, Amazon, Microsoft, Google, Meta and OpenAI have pledged to spend more than $300 billion this year, much of it on AI infrastructure. The expenditure approaches Canada's national budget. Harvard's Kempner Institute, which focuses on AI, has more computing power than all African-owned facilities on that continent combined, according to one survey of the world's largest supercomputers. Brad Smith, Microsoft's president, said many countries wanted more computing infrastructure as a form of sovereignty. But closing the gap will be difficult, particularly in Africa, where many places do not have reliable electricity, he said. Microsoft, which is building a data center in Kenya with a company in the United Arab Emirates, G42, chooses data center locations based largely on market need, electricity and skilled labor. 'The AI era runs the risk of leaving Africa even further behind,' Smith said. Jay Puri, Nvidia's executive vice president for global business, said the company was also working with various countries to build out their AI offerings. 'It is absolutely a challenge,' he said. Chris Lehane, OpenAI's vice president of global affairs, said the company had started a program to adapt its products for local needs and languages. A risk of the AI divide, he said, is that 'the benefits don't get broadly distributed, they don't get democratized.' Tencent, Alibaba, Huawei, Google, Amazon, Hetzner and OVHcloud declined to comment. The gap has led to brain drains. In Argentina, Dr. Wolovick, 51, the computer science professor, cannot offer much compute power. His top students regularly leave for the United States or Europe, where they can get access to GPUs, he said. 'Sometimes I want to cry, but I don't give up,' he said. 'I keep talking to people and saying: 'I need more GPUs. I need more GPUs.'' The uneven distribution of AI computing power has split the world into two camps: nations that rely on China and those that depend on the United States. The two countries not only control the most data centers but are set to build more than others by far. And they have wielded their tech advantage to exert influence. The Biden and Trump administrations have used trade restrictions to control which countries can buy powerful AI chips, allowing the United States to pick winners. China has used state-backed loans to encourage sales of its companies' networking equipment and data centers. The effects are evident in Southeast Asia and the Middle East. In the 2010s, Chinese companies made inroads into the tech infrastructure of Saudi Arabia and the Emirates, which are key American partners, with official visits and generous financing. The United States sought to use its AI lead to push back. In one deal with the Biden administration, an Emirati company promised to keep out Chinese technology in exchange for access to AI technology from Nvidia and Microsoft. In May, President Trump signed additional deals to give Saudi Arabia and the Emirates even more access to American chips. A similar jostling is taking place in Southeast Asia. Chinese and US companies like Amazon, Alibaba, Nvidia, Google and ByteDance, the owner of TikTok, are building data centers in Singapore and Malaysia to deliver services across Asia. Globally, the United States has the lead, with American companies building 63 A.I computing hubs outside the country's borders, compared with 19 by China, according to the Oxford data. All but three of the data centers operated by Chinese firms outside their home country use chips from Nvidia, despite efforts by China to produce competing chips. Chinese firms were able to buy Nvidia chips before US government restrictions. Even US-friendly countries have been left out of the AI race by trade limits. Last year, William Ruto, Kenya's president, visited Washington for a state dinner hosted by President Joseph R. Biden Jr. Several months later, Kenya was omitted from a list of countries that had open access to needed semiconductors. That has given China an opening, even though experts consider the country's AI chips to be less advanced. In Africa, policymakers are talking with Huawei, which is developing its own AI chips, about converting existing data centers to include Chinese-made chips, said Koné of Smart Africa. 'Africa will strike a deal with whoever can give access to GPUs,' he said. Alarmed by the concentration of AI power, many countries and regions are trying to close the gap. They are providing access to land and cheaper energy, fast-tracking development permits and using public funds and other resources to acquire chips and construct data centers. The goal is to create 'sovereign AI' available to local businesses and institutions. In India, the government is subsidizing compute power and the creation of an AI model proficient in the country's languages. In Africa, governments are discussing collaborating on regional compute hubs. Brazil has pledged $4 billion on AI projects. 'Instead of waiting for AI to come from China, the US, South Korea, Japan, why not have our own?' Brazil's president, Luiz Inácio Lula da Silva, said last year when he proposed the investment plan. Even in Europe, there is growing concern that American companies control most of the data centers. In February, the European Union outlined plans to invest 200 billion euros for AI projects, including new data centers across the 27-nation bloc. Mathias Nobauer, the chief executive of Exoscale, a cloud computing provider in Switzerland, said many European businesses want to reduce their reliance on US tech companies. Such a change will take time and 'doesn't happen overnight,' he said. Still, closing the divide is likely to require help from the United States or China. Cassava, a tech company founded by a Zimbabwean billionaire, Strive Masiyiwa, is scheduled to open one of Africa's most advanced data centers this summer. The plans, three years in the making, culminated in an October meeting in California between Cassava executives and Jensen Huang, Nvidia's chief executive, to buy hundreds of his company's chips. Google is also one of Cassava's investors. The data center is part of a $500 million effort to build five such facilities across Africa. Even so, Cassava expects it to address only 10 percent to 20 percent of the region's demand for AI At least 3,000 start-ups have expressed interest in using the computing systems. 'I don't think Africa can afford to outsource this AI sovereignty to others,' said Hardy Pemhiwa, Cassava's chief executive. 'We absolutely have to focus on and ensure that we don't get left behind.'

Time of India

an hour ago

• Time of India

Star Wars goes real: Chinese satellite reportedly zaps Starlink from 36,000 KM with 2-Watt laser beam

In a significant leap for space communication, a Chinese satellite has reportedly transmitted data five times faster than Starlink using a tiny 2-watt laser from 36,000 km away. This breakthrough, achieved through a novel AO-MDR system correcting atmospheric distortions, promises faster satellite internet, improved GPS, and enhanced real-time space communication. Tired of too many ads? Remove Ads How did they make it work? Tired of too many ads? Remove Ads Future possibilities FAQs A Chinese satellite has used a small 2-watt laser from 36,000 km above Earth to send data faster than Starlink. This surprising success shows how far space technology has come, using just a weak beam of light to beat powerful internet though the laser was as weak as a nightlight or candle, it sent data at 1 Gbps speed. This is 5 times faster than Starlink's usual speed, which only reaches a few Mbps, as per project was led by Professor Wu Jian and Liu Chao. One big problem in space lasers is atmospheric turbulence, which shakes and distorts the laser signal. Older systems used either Adaptive Optics or Mode Diversity Reception, but alone, they weren't strong Chinese team combined both AO + MDR into one system called AO-MDR synergy. This new combo helped to fix the signal distortion and also catch scattered light for better clarity, as stated in the team managed to send strong signals clearly even during heavy turbulence and over massive distances. This could lead to much better satellite internet, with faster speeds and more reliable connections. Could also help in HD video streaming, telecom, media, and even space missions. The system works without needing complex ground systems, which makes it cheaper and more shows China is becoming a big player in space tech and could soon lead in satellite communication. Laser-based satellites might replace traditional radio waves, offering faster internet and less delay, as per the report by could also improve GPS, and help with real-time communication in space. The research is seen as a huge win for science worldwide, not just for Chinese scientists used a 2-watt laser from 36,000 km to send data five times faster than used a new AO-MDR system that fixed signal distortion and made the laser work clearly even through Earth's atmosphere.

Time of India

2 hours ago

• Time of India

How Walmart plans to steal Amazon and Google's best tech talent

Walmart is investing billions in a gleaming new headquarters campus designed to lure top tech talent away from industry giants like Google, Netflix and Amazon, as the retail behemoth transforms itself into a technology-driven company to compete in the digital marketplace. The retailer's new 350-acre Bentonville, Arkansas campus features Silicon Valley-style amenities including electric bikes, robot groundskeepers, a hotel, food hall, amphitheater and massive fitness centers. The facility, which opened its first building in January, represents a dramatic departure from Walmart's spartan former headquarters in a converted distribution center with wood-paneled offices and few windows. Tech workers now comprise one-third of Walmart's 15,000-person corporate workforce, driving the company's digital advertising platform, data services, artificial intelligence and drone delivery operations. This technological pivot has forced the world's largest retailer by revenue to compete directly with tech companies for skilled employees who have specific workplace expectations. From discount store to tech powerhouse by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Giao dịch vàng CFDs với mức chênh lệch giá thấp nhất IC Markets Đăng ký Undo "You are in a competition for talent — even if you are the largest company in the world by revenue — and having a nice experience and work environment is a great recruiting and retention tool," said Scott Benedict, a former Walmart executive turned retail consultant, according to The New York Times. The challenge is particularly acute for a company based in Arkansas, where recruiting tech talent requires convincing workers to relocate from major metropolitan areas. Walmart must demonstrate that life in Bentonville can rival opportunities in San Francisco, Seattle or New York while shedding its image as a traditional brick-and-mortar retailer. Dan Bartlett, Walmart's executive vice president of corporate affairs, acknowledged the new campus "will play a role in recruiting and retention of talent, particularly tech talent, where they have certain expectations." Walmart is going beyond price wars The transformation reflects Walmart's recognition that competing on price alone is no longer sufficient. Modern commerce demands excellence in convenience, breadth and speed, forcing the company to match Amazon's technological capabilities while leveraging its vast network of nearly 11,000 stores worldwide. Walmart's e-commerce business recently achieved profitability, with the company expecting two-thirds of future growth to come from digital operations. The retailer now sells premium items like $6,000 Louis Vuitton handbags online while expanding drone delivery services to compete with Amazon's logistics network. The investment appears to be paying dividends with investors. Walmart's stock has outperformed both the S&P 500 and Amazon this year, rising more than 5 percent as analysts overwhelmingly rate the company a buy. AI Masterclass for Students. Upskill Young Ones Today!– Join Now