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Enhance Your Photos With NASA's Sharpening Technique

Incredible space photos like those from NASA don't look as stunning straight out of the telescope. They need significant processing, and a crucial part of that is sharpening.

Coming to you from Unmesh Dinda with PiXimperfect, this fascinating video explores the APF-R plugin, developed by award-winning astrophotographer Christoph Kaltseis. APF-R stands for Absolute Point of Focus, and it's designed to enhance photo details without creating halos or artifacts. This technology has been used by space agencies with telescopes like the James Webb, and now, you can use it in Photoshop. The plugin allows for non-destructive editing, meaning you can adjust the radius and detail level without permanently altering your image. This feature is crucial for astrophotography, where preserving original details is vital.

The video shows how APF-R compares to Photoshop's built-in sharpening tools. The plugin offers multiple rendering methods, each suited for different types of images. For instance, the "Center Weighted" method provides a balanced sharpening effect without making the image look overprocessed. Dinda explains how to fine-tune these settings to achieve the best results, making it clear why this plugin is a game-changer for photographers looking to enhance their images with precision.

One notable feature of APF-R is its ability to work with different image types. The video demonstrates how the plugin enhances not just space photos but also landscapes and portraits. For portraits, APF-R can bring out skin textures and eye details without creating the unwanted halos that traditional sharpening methods often produce. Dinda also shows how to combine APF-R with other Photoshop tools, like Smart Sharpen, for even better results. This versatility makes APF-R a valuable addition to any photographer's toolkit.

The plugin's cost is $50, which Dinda considers a bargain given its advanced capabilities. There's also a Creative Bundle subscription that includes APF-R and 20 other tools, offering great value for those looking to expand their editing options. Dinda provides discount codes in the video description, making this sophisticated tool more accessible. Check out the video above for the full rundown from Dinda.

Carlsberg to buy Britvic for $4.2 billion
Carlsberg to buy Britvic for 1,315p per share Carlsberg will also buy out Marston's from brewing joint venture Danish brewer plans to create integrated beverage business in UK Shares in Carlsberg, Britvic, Marston's all rise July 8 (Reuters) - Carlsberg (CARLb.CO), opens new tab has agreed to buy British soft drinks maker Britvic (BVIC.L), opens new tab for 3.3 billion pounds ($4.23 billion), a move the Danish brewer said would forge a UK beverage "powerhouse" and that sent both companies' shares higher. Carlsberg clinched the takeover with a sweetened bid of 1,315 pence per share - comprising cash and a special dividend of 25 pence a share - after the British company rejected 1,250 pence per share last month. The acquisition will create value for shareholders, contribute to growth and forge a combined beer and soft drink company that is unique in the UK, CEO Jacob Aarup-Andersen told investors on a conference call. "With this transaction we are creating a UK powerhouse," he said. He brushed off concerns from some analysts about integration risks, saying Carlsberg has a strong track record of running beer and soft drink businesses in several markets. Soft drinks already make up 16% of Carlsberg's volumes. COST SAVINGS As drinkers in some markets ditch beer for spirits or cut back on drinking altogether, brewers have looked to broaden their portfolio into new categories like hard seltzer, canned cocktails and cider, as well as zero-alcohol brews. Britvic sells non-alcoholic drinks in Britain, Ireland, Brazil and other international markets such as France, the Middle East and Asia. Carlsberg said the deal will deliver a number of benefits, including cost and efficiency savings worth 100 million pounds ($128 million) over five years as it takes advantage of common procurement, production and distribution networks. It will also see Carlsberg take over Britvic's bottling agreement with PepsiCo (PEP.O), opens new tab. Carlsberg already bottles PepsiCo drinks in several markets and there is scope to add more geographies in future, Aarup-Andersen said. arlsberg halted share buy backs on Monday as a result of the deal. Chief financial officer Ulrica Fearn said these would resume once Carlsberg reaches its revised target for net debt of 2.5 times EBITDA, from 3.5 times currently - a goal it expects to meet in 2027. "Whilst this represents a shift in the strategy away from organic top- and bottom-line growth and consistent returns to shareholders, we view it as a relatively low risk transaction with attractive financials," Jefferies analysts said in a note. Carlsberg also said on Monday it will buy out UK pub group Marston's (MARS.L), opens new tab from a joint venture for 206 million pounds. That will give it full ownership of the newly formed Carlsberg Britvic after the deal. ($1 = 0.7805 pounds) Get the latest news and expert analysis about the state of the global economy with Reuters Econ World. Sign up here. Reporting by Stine Jacobsen, Yadarisa Shabong and Emma Rumney Editing by Sherry Jacob-Phillips, Rashmi Aich, David Goodman and David Evans
China's generative AI patents are far ahead of the US!
The World Intellectual Property Organization (WIPO) recently said that China filed 38,000 artificial intelligtion-related generative AI patents from 2014-23, while the United States filed 6,276 of the 50,000 patents filed by all countries. Of the 50,000 applications, 25 percent were filed last year.The top five inventor regions are: China (38,210 inventions), the United States (6,276 inventions), the Republic of Korea (4,155 inventions), Japan (3,409 inventions) and India (1,350 inventions).
Google Pixel 9 series phones will use Qualcomm ultrasonic fingerprint recognition technology
Google's new generation of flagship smartphone Pixel 9 series is expected to be officially released in mid-August, and the new machine is likely to be equipped with ultrasonic fingerprint recognition technology for the first time to replace the original optical fingerprint recognition. According to core intelligence, Google Pixel 9 series will use the same Qualcomm 3D Sonic Gen 2 ultrasonic fingerprint recognition sensor as the Samsung Galaxy S24 Ultra. This ultrasonic technology under the screen fingerprint sensor is Qualcomm released at the CES2021 conference, compared with the previous generation of solutions, the module thickness is further reduced to 0.2mm, while the scanning area is expanded to 8mm×8mm, that is, the recognition area is increased by 77%. This will also allow users to realize fingerprint recognition without having to point their fingertips 100% accurately at the identification area indicated on the screen.
Stanford AI project team apologizes for plagiarizing Chinese model
An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times
Autonomous driving is not so hot
From the perspective of the two major markets of the United States and China, the autonomous driving industry has fallen into a low tide in recent years. For example, last year, Cruise Origin, one of the twin stars of Silicon Valley autonomous driving companies and once valued at more than $30 billion, failed completely, its Robotaxi (driverless taxi) operation qualification was revoked, and autonomous driving models have been discontinued. However, as a new track with the deep integration of digital economy and real economy, automatic driving is a must answer: on the one hand, automatic driving will accelerate the process of technology commercialization and industrialization, and become an important part of the game of major powers; On the other hand, autonomous driving will also promote industrial transformation and upgrading by improving the mass travel service experience, seeking new engines for urban development, and injecting new vitality into the urban economy.