【推荐1】The ancient Babylonians （巴比伦人）are thought to have been the first people to set New Year's resolutions. They made promises to gods that they would return any objects they had borrowed from others. If they did this, then it was said that gods would protect them in the year ahead. Since then, resolutions have changed from promises to gods to promises to ourselves and others. That could be starting a new hobby, trying to be healthier or learning a new language. Given the difficulties that any people have in keeping their New Years resolutions, though, should people wait a little longer before deciding what they'll be? Is January the right time to set New Years resolutions?

Yes — it gets the year off to a good start. They're called New Year's resolutions, not Half-Year resolutions. The whole point of setting New Year's resolutions is that it's done at the start of the year.Waiting longer just defeats the purpose of it. New Year's resolutions are a fun tradition to discuss with family and friends. You won't be able to talk about it in the same way if you're all setting them at different times. Besides, the more you put it off, the less likely it is that you'll ever decide on what your resolutions are going to be. You can always set new ones, or change your goals, but it's important to start off with something. By the time you've decided on some resolutions, you'll have less time to do them — which only increases your chances of failure.

No — January isn't the right time. January is a cold and dark month. Why would you want to start something new then? During the winter months, most people just want to stay nice and warm indoors, rather than try something new. People should make resolutions to lead happier, healthier lives whenever they want, not just on 1 January. Waiting longer means that you'll have more time to plan and will have a better idea of what you want to do in the year ahead. This will result in better resolutions, which have a stronger chance of success. One study found that by 6 January, one in five people had failed to stick to their resolutions. By not rushing into it, you're less likely to get discouraged and give up if you haven't succeeded right away.

Now that you've read a bit more about it, tell us what you think by voting in our poll at theweekjunior. co. uk/polls.

【推荐3】Museums have been around for centuries, with the first known museum founded in the 3rd century BC. For a long time, they were used to showcase traditional artworks like paintings, sculptures and drawings.

In recent times, however, digital art has started to gain popularity as an art form. This has raised the question of whether or not museums should accept digital art into their collections.

Digital art can be defined as an artwork created using digital technology and tools like computers, tablets and smartphones. It includes a variety of mediums such as animation, 3D modelling, virtual reality and video game design. Digital art is increasingly being used by artists to create unique pieces that are unlike anything else seen before.

The debate over whether museums should accept digital art into their collections has been ongoing for some time. On one hand, many believe that digital art is not “real” art and does not deserve to be given the same recognition as traditional artworks. On the other hand, supporters of digital art hold the view that museums should endorse this new form of expression and give it the same respect as any other type of artworks.

The truth is that many museums have already begun to accept digital art into their collections. In fact, some museums have even devoted entire exhibitions to showcasing digital artworks from around the world. This shows that there is a growing appreciation for this type of expression and that it is slowly becoming more accepted by mainstream audiences.

In general, while there may still be some debate over whether or not digital art deserves to be accepted into museum collections, it is clear that many museums are beginning to welcome this new form of expression. As more people realize the digital art and its potential as an artistic medium, it will likely become even more popular in years to come.

【推荐2】How Will Machines and AI Change the Future of Work?

Several recent studies have examined how machine automation and artificial intelligence (AI) will change the future of work.

The Rand Corporation recently issued its own report on the future effects of automation and AI on jobs and the workplace. Osonde Osoba was a co-author of the report.     1    

In 16th century England, Queen Elizabeth famously refused an inventor’s request for a patent for a device to make material for clothing. The Queen explained that the device would lead to major job losses, forcing affected workers to become “beggars”.

    2     But he believes the future problems have been overestimated without historical evidence to back up the predictions.

The McKinsey Global Institute has also studied the issue. Its research suggests that up to one-third of work activities across 46 nations could be displaced by 2030.     3     It says this growth, along with other economic influences, could help offset (弥补) the displacement of millions of workers. “All workers will need to adapt, as their occupations evolve alongside increasingly capable machines,” the report said. This will require ongoing retraining of workers. In addition, employees will be spending more time on activities difficult to automate.

    4     These include jobs depending on human motor skills, positions requiring creative thinking and actions, and jobs dealing with intense social interaction.

Rand Corporation’s Osonde Osoba agrees with McKinsey. He also thinks that it will be very difficult for companies to completely automate most jobs, because they require a worker to perform many different duties and to react to unexpected situations.

【推荐3】What if AI could interpret your imagination, turning images in your mind into reality? While that sounds like a detail in a science fiction, researchers have now accomplished exactly this. Researchers found that they could reconstruct highly accurate images from brain activity by using the popular stable diffusion (扩散) image generation model. The authors wrote that unlike previous studies, they didn’t need to train the AI models to create these images.

The researchers said that they first predicted a potential representation, which is a model of the image’s data, from fMRI (功能性磁共振成像) signals. Then, the model was processed and noise was added to it through the diffusion process. Finally, the researchers decoded (解码) text representations from fMRI signals and used them as input to produce a final constructed image.

The researchers wrote that a few studies have produced good reconstructions of images but it was only after training. This resulted in limitations because training complex models are challenging and there are not many samples to work with. Prior to this new study, no other researchers had tried using diffusion models for visual reconstruction.

In the past, we’ve seen other examples of how brainwaves and brain functions can create images. In 2014, a Shanghai - based artist Jody Xiong used sensors to connect sixteen people with disabilities to balloons of paint. The people would then use their thoughts to burst specific balloons and create their own paintings.

With the advancement of AI, more and more researchers have been testing the ways AI models can work with the human brain. In a January 2022 study, researchers at Radboud University in the Netherlands trained an AI network on fMRI data from 1, 050 unique faces and converted the brain imaging results into actual images. The study found that the AI was able to perform reconstruction. In the latest study, the researchers found that current diffusion models can now achieve high-quality visual reconstruction.