Google Wallet can help you store your IDs, driving license, loyalty cards, concert tickets and more. You can also store your payment cards and use tap to pay to pay anywhere Google Pay is accepted. Google wallet is available in various countries but Google never launched it in India. Google let indian users stick with the Gpay which facilitates UPI payments. Tap to pay is not part of it. Also we can not store things such as IDs and Passes in indian version of Gpay. This might change and Google may launch Google Wallet in India. With the recent version of Google Wallet and Google Play Services, Google has added some flags and code which indicate that Google is working on something for Indian users regarding wallet. The first change I noticed recently when going through the Google Play Services apk was addition of two new flags Both flags are part of com.google.android.gms.pay package in the Google Play Services. This package contains all the flags for features of Gpay/Wallet. Google does server side flipping of flags to enable/disable features for users. So both these flags doesn't really provide any info about what features enabling these flags is going to bring. But the point here is that Google Wallet is not launched in India so why Google added these flags inside Play Services ? The answer could be that Google may be working on bringing Google Wallet to India. It can enable tap to pay, store payments and various other features for Indian users which we don't have in the current Gpay for India. I found similar flags in the analysis Google Wallet APK - These flags are also disabled by default. But this is again a clear indication of Google working towards something for Indian users. In both cases, enabling the flags doesn't bring anything noticeable UI or feature because there is nothing much added besides flags. Google has dogfood/testing versions internally, so the code will show up slowly in upcoming versions. The last piece of code I found is also from Google Play Services. In case you don't know, Google was working on Digilocker integration in the Google Files app which was supposed to bring your digital document inside the app such as driving license, COVID certificates, aadhar card. But Google has ditched the effort of bringing these features and they removed the "Important" tab (where digilocker was supposed to be integrated) from the Google Files app completely. So things are going to change and here is how. This is the code which I found in the Google Play Services - So the word "PASS" along with PAN, DRIVERS LICENCE, VACC CERTIFICATE & AADHAR CARD, is clear indication of the possibility of Google adding support for these directly through Google Wallet using Digilocker, just like Samsung Pass does it. This code is not old as I have checked older beta versions of Play Services where this code is not present. Here is a string which was added in a previous beta version a few weeks ago but I completely ignored it because it didn't make any sense without flags and the other code - This addition was surprising because there was nothing regarding digilocker before in the Play Services. In the words "pay_valuable", the "pay" to Wallet/Gpay and "valuable" refers to the things like Passes, loyalty cards and transit cards. Since we are talking about digilocker, these "valuable" are driving license, vaccination certificate, PAN card and Aadhar card which can be store in Google Wallet after digilocker integration. That's all about it. We will know more about it in upcoming app updates or maybe Google can itself annouce something about this.

China is mulling over establishing a Brain-Computer Interface (BCI) standardization technical committee under its Ministry of Industry and Information Technology (MIIT), aiming to guide enterprises to enhance industrial standards and boost domestic innovation. The proposed committee, revealed by the MIIT on Monday, will work on composing a BCI standards roadmap for the entire industry development as well as the standards for the research and development of the key technologies involved, according to the MIIT. China has taken strides in developing the BCI industry over the years, not only providing abundant policy support but also generous financial investment, Li Wenyu, secretary of the Brain-Computer Interface Industrial Alliance, told the Global Times. From last year to 2024, both the central and local governments have successively issued relevant policies to support industrial development. The MIIT in 2023 rolled out a plan selecting and promoting a group of units with strong innovation capabilities to break through landmark technological products and accelerate the application of new technologies and products. The Beijing local government also released an action plan to accelerate the industry in the capital (2024-2030) this year. In 2023, there were no fewer than 20 publicly disclosed financing events for BCI companies in China, with a total disclosed amount exceeding 150 million yuan ($20.6 million), Li said. “The strong support from the government has injected momentum into industrial innovation.” The fact that China's BCI industry started later than Western countries such as the US is a reality, leading to the gap in China regarding technological breakthroughs, industrial synergy, and talent development, according to Li. To further close gaps and solve bottlenecks in BCI industrial development, Li suggested that the industry explore various technological approaches to suit different application scenarios and encourage more medical facilities powered by BCI to initiate clinical trials by optimizing the development of BCI-related ethics. Additionally, he highlighted that standard development is one of the aspects to enhance the overall level and competitiveness of the industry chain, which could, in turn, empower domestic BCI innovation. While China's BCI technology generally lags behind leading countries like the US in terms of system integration and clinical application, this has not hindered the release of Neucyber, which stands as China's first "high-performance invasive BCI." Neucyber, an invasive implanted BCI technology, was independently developed by Chinese scientists from the Chinese Institute for Brain Research in Beijing. Li Yuan, Business Development Director of Beijing Xinzhida Neurotechnology, the company that co-developed this BCI system, told the Global Times that the breakthrough of Neucyber could not have been achieved without the efforts of the institute gathering superior resources from various teams in Beijing. A group of mature talents were gathered within the institute, from specific fields involving electrodes, chips, algorithms, software, and materials, Li Yuan said. Shrugging off the outside world's focus on China’s competition with the US in this regard, Li Yuan said her team doesn’t want to be imaginative and talk too much, but strives to produce a set of products step by step that can be useful in actual applications. In addition, Li Wenyu also attributed the emergence of Neucyber to the independent research atmosphere and the well-established talent nurturing mechanism in the Chinese Institute for Brain Research. He said that to advance China’s BCI industry, it is necessary not only to cultivate domestic talents but also to introduce foreign talents to enhance China's research and innovation capabilities. The proposed plan for establishing the BCI standardization technical committee under the MIIT will solicit public opinions until July 30, 2024.

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

On July 8, local time, former British Prime Minister Sunak announced the appointment of the Conservative Party Shadow Cabinet, which is the first shadow cabinet of the Conservative Party in 14 years. Several former British cabinet members during Sunak's tenure as prime minister were appointed to the Conservative Party Shadow Cabinet, including James Cleverly as Shadow Home Secretary and Jeremy Hunt as Shadow Chancellor of the Exchequer. But former Foreign Secretary Cameron was not appointed as Shadow Foreign Secretary. In addition, the new leader of the Conservative Party will be elected as early as this week. On July 4, the UK held a parliamentary election. The counting results showed that the British Labour Party won more than half of the seats and won an overwhelming victory; the Conservative Party suffered a disastrous defeat, ending its 14-year continuous rule.

White House spokeswoman Karina Jean-Pierre denied a report in the U.S. media on the 8th that President Joseph Biden did not receive treatment for Parkinson's disease. Biden had the first televised debate of the 2024 presidential election with Republican opponent Donald Trump on June 27, and his poor performance on the spot triggered discussions about his physical condition. The New York Times reported that a doctor specializing in the treatment of Parkinson's disease had "visited" the White House eight times from August last year to March this year. Facing the media's questions about Biden's health, Jean-Pierre asked and answered himself at a regular White House press conference on the 8th: "Has the president received treatment for Parkinson's disease? No. Is he currently receiving treatment for Parkinson's disease? No, he is not. Is he taking medication for Parkinson's disease? No." Jean-Pierre said Biden had seen a neurologist three times, all related to his annual physical examination. She also took out the report issued by the doctor after Biden's most recent physical examination in February this year. The report said, "An extremely detailed neurological examination was once again reassuring" because no symptoms consistent with stroke, multiple sclerosis or Parkinson's disease were found. The doctor who went to the White House mentioned by the New York Times is Kevin Kanal, a neurology and movement disorder expert at the Walter Reed National Military Medical Center in Maryland and an authority on Parkinson's disease. Jean-Pierre suggested that the doctor might have come to treat military personnel on duty at the White House.