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Google launched PaLM-E, a visual language model with 562 billion parameters.

Recently, it was reported that Robotics at Google, Technical University of Berlin and Google Research team jointly launched the largest visual language model PaLM-E, with the final parameters as high as 562 billion. It is understood that this model has the ability to understand images, understand generation languages and handle complex machine instructions.

In this regard, Google said that the model also has an environmentally adaptive response and has the ability to face possible unexpected situations. It is reported that the model is robust to interference because it is integrated in a control loop.

It is reported that this model is a combination of PaLM-540B language model and Vit-22B visual Transformer model, and its core is its powerful language processing ability. The highlight is that the model can use visual data to enhance its own language processing ability after acquiring and processing visual data. For example, the corresponding traffic rules can be solved by pictures of traffic signs, the production process can be understood by pictures of ingredients, or the robot can be guided to complete relatively complicated actions by inputting instructions.

It is understood that PaLM-E has another outstanding advantage, that is, it has strong positive migration ability. In the relevant test results released by Google, the researchers believe that PaLM-E has the ability of self-learning, so it can perform planning and cross-length tasks on different entities. For example, after the model guides the robot to complete the "color block by color", it can further guide the robot to push the green color block to the ornaments that have never been seen before.

Some people think that although the guidance given by PaLM-E to robots does not seem very complicated at present, with the change of data training, it will give robots more thinking ability, and it is expected to be able to plan and execute the commands issued by humans more reasonably in the future, and make great breakthroughs in industrial application and design.

It is understood that in the artificial intelligence track, Microsoft previously published a similar case mentioned in the above research in February this year, that is, through the program written by ChatGPT to guide drones how to find drinks.

[The picture in this article comes from the network]

The last stop of the ball king

I missed the quarter-finals of the Champions League again, and now it’s time for Paris to break up. The team must change the status quo a little now. "L ‘Equipe" recently talked about the future of Paris. At present, the top management thought is to build the team with Mbappé as the core of the team’s future. On the contrary, Messi, who is rumored to have a possible contract renewal, pointed out that the club has a high probability of giving up.

Although Messi won the Argentine championship in FIFA World Cup Qatar 2022 and got the last title puzzle of his career, it seems that Messi’s "nightmare" in the Champions League is not over yet:He fell to the quarter-finals for three consecutive years, missed the Champions League for eight consecutive years, and failed to break the door of Bayern for eight consecutive years.

Messi, who entered the animal year, announced the end of this season’s Champions League tour only in March. It’s so close and so far away from the fifth Champions League trophy, just like Jacky Cheung’s song.

Every time Messi has rumors of leaving the team, it is enough to shock football.

In the summer of 20 years, that "leaving email" that shocked football, he originally joined forces with his mentor Guardiola in Manchester City, almost decided to send out an application for leaving email, but Barcelona prevented Messi from leaving with the terms of "700 million liquidated damages".

In the summer of 21 years, Messi, who was originally married to Barcelona, was suddenly "abandoned" by Barcelona when he was enjoying the joy of winning the first America’s Cup, and had to switch to the Greater Paris in Neymar and Di Maria.

In the summer of 23 years, Messi will encounter a difficult "choice" again. In front of him, there are about three feasible ways.

Renew the contract with Greater Paris. So far, Paris Saint-Germain is the only club that has made a specific offer to Messi. However, Paris Saint-Germain also has its own problems, limited by the fiscal fairness bill, and there are rumors that they will make great adjustments to their lineup this summer, and some of them will have to reduce their salaries. The next few days will be the time for negotiations between the two sides.

Shares+real estate projects+various commercial marketing, MLS (American Professional League) tried its best to attract Messi to join.Join the American professional leagueProbably like Beckham in those days, except for a handsome salary, he may get his own franchise or a stake in Miami in the future.

The last road, of course, is the result that fans want to see most.Return to BarcelonaIt is the result that many Barcelona Messi fans have always wanted. After all, Barcelona still owes Messi a decent farewell ceremony. However, judging from the current salary space and financial situation of Barcelona, it is simply a gap to operate Messi’s return.

Xiao Bian believes that Messi will renew his contract with Paris in a high probability, at least in the five major leagues in Europe until the America’s Cup in 2024. After that, the plum ball king will make his next choice. Where do you think Messi will go this summer?

AI medical care: the revolutionary change of future medicine

With the rapid development of artificial intelligence technology, AI medical care is becoming a revolutionary change in future medicine. AI Medical is to apply artificial intelligence technology to the medical field to improve the efficiency and quality of medical services. This article will introduce some important aspects of AI medical care and how it will change our future medicine.

First of all, AI medical care has great potential in diagnosis and treatment. Artificial intelligence can diagnose diseases quickly and accurately by analyzing a large number of medical data and images, and provide patients with more personalized treatment programs. For example, AI medical care can help doctors improve the early diagnosis accuracy of breast cancer and reduce the misdiagnosis rate. AI medical care can also predict the development trend and risk of diseases and provide more accurate medication plans.

Secondly, AI medical care can improve the efficiency and quality of medical services. With the aging population and the increasing chronic diseases, medical resources are becoming more scarce. AI Medical can optimize the process and resource allocation of medical services through automation and intelligence. For example, AI medical care can automatically record patients’ medical records and diagnosis results, reduce the workload of doctors and improve work efficiency.

Finally, AI medical care also faces some challenges and risks. For example, AI medical needs a lot of data to train algorithms, but these data often have privacy issues and uncertainty of data sources. AI medical care also needs to overcome technical limitations, such as the opacity of the algorithm and the difficulty of human-computer interaction.

In general, AI medical care will be a revolutionary change in future medicine. It will bring more accurate, personalized and efficient medical services, and at the same time, we need to face the challenges and risks seriously to protect the rights and interests of patients and medical safety.