Podcasts




The crossover of Burberry's blogging world: Artist Wang Hua's imagination about "chains"

Duration: 0:34:26

The "1 Song Ramble" podcast episode features a discussion with artist Wang Hua, who primarily works with materials like ceramics, glass tanks, and bamboo. Wang Hua graduated from Central Saint Martins in London in 2012 and later studied ceramics at the Royal College of Art in the UK. He lived and worked in Jingdezhen, a city famous for its ceramics industry in eastern China, before moving to Beijing. During the conversation, Wang Hua shared his experiences of working and living in Jingdezhen, where he learned the traditional techniques and processes of making ceramics. He also talked about the challenges and unexpected outcomes of working with ceramics, including the high risk of failure due to factors like weight distribution and temperature control.


Language: Chinese
Topics: ArtCeramics

Art Fasting Report Conference!

Duration: 0:29:49

The hosts, Lan and Mao, have not updated their podcast for quite some time, prompting questions from their listeners about their whereabouts. In this episode, they answer these questions and update their recent activities. One interesting update they mention is their conversation with a cultural attaché from the Dutch embassy, which they recorded in English. Despite their initial fear of not being able to communicate effectively in English, they found the conversation to be insightful, particularly the attaché's perspective on the importance of experiencing performing arts. The hosts also share their recent experiences with modern dance performances and recommend several Dutch cultural institutions such as the Van Gogh Museum and Heineken brewery as must-visits.


Language: Chinese
Topics: ArtPerformance

Cannes Film Festival: Stars shining brightly, not forgetting the environmental protection commitment

Duration: 0:11:11

The Cannes Film Festival, one of the largest film events in the world, has undergone an eco-transformation since 2021, with the organizers taking a series of environmental measures to tackle the environmental challenges. The festival has stopped using single-use plastic bottles, increased the use of electric cars, and promoted online ticket sales. However, the event generates three times more garbage during the festival period and leads to heavy traffic that causes excessive exhaust emissions. The festival's organizers have pledged to continue their commitment to the environment at the 75th Cannes Film Festival by implementing specific measures to reduce pollution. These measures include using 60% electric or hybrid cars in the official car fleet, reducing printing and promoting digital material, and recycling the red carpet. Moreover, the organizers have eliminated plastic bottles and cups and made the red carpet using recyclable materials. Finally, the festival has partnered with green organizations to address environmental issues, reducing the amount of waste generated during the event.


Language: Chinese

Summer Art Recipe (Thomas Demand/Wang Xingwei/London Graduation Exhibition and Summer Group Exhibition)

Duration: 0:43:12

The podcast discusses various summer art exhibitions in London, including group exhibitions showcasing well-known artists and graduating student exhibitions from various art schools such as UCLA, Royal College of Art, and Goldsmith. The exhibitions feature a range of mediums, such as paintings, sculptures, and installations. The speakers highlight some notable works and artists, including Angela Glajcar's wooden sculptures and the provocative photography of Lei Shijun. They also note the exhibition venues, which range from churches to public spaces. Overall, the speakers express admiration for the creativity and diversity of the exhibitions.


Language: Chinese

March Art Recipe (Hong Kong Basel Forecast/French Comedy "Art"/Mike Nelson/Immersive Drama The Burnt City/Ulay)

Duration: 0:29:58

The speaker introduces different art events and exhibitions happening in Hong Kong in March, including the Art Basel exhibition and various galleries in the Central and Wong Chuk Hang areas. The speaker encourages listeners to attend these events, even if they are not in the art industry, as it is a great opportunity to broaden one's horizons and enjoy the visual experience. The speaker also mentions the upcoming M+ museum and the various donated pieces from both Chinese contemporary artists and the daughter of the artist Zhao Wuji. Additionally, the speaker recommends attending auction previews and art talks. The talk concludes with the speaker sharing their recent love for art, including a French play that discusses deeper existential issues.


Home Price Estimates - How the prices we see are determined

Duration: 0:07:10

In this podcast episode, the host discusses using AI to improve the accuracy of estimating housing prices. He explains that while there are various methods for estimating housing prices, the market comparison method is the simplest and most straightforward. However, even with this method, the estimated price is only approximate, and it's challenging to quantify the impact of various factors such as location and age of the property. The idea of using AI is to improve the accuracy of these estimates by taking into account a wider range of variables.


Insurance 2030 - What will AI-enabled insurance look like?

Duration: 0:07:15

In this episode of Comprehensive AI, host Yuxuan discusses the topic of insurance. While some people, like his friend Laoli, enjoy having insurance, others find the policies and claims process too complicated. As a financial product, insurance has been around longer than even mutual funds, but the industry itself lags behind others like banking. Insurance products require manual claims processing and offline inspections, making the industry at least a decade behind banking, according to some media reports. The future of insurance may lie in automated technologies like self-driving cars, which could receive feedback from intelligent assistants to improve safety and reduce the likelihood of accidents.


Automated trading - financial product trading that allows you to make money while lying down

Duration: 0:05:47

In this episode of the podcast, the host talks about how AI can be used in the finance industry, specifically in automatic trading. He discusses the use of reinforcement learning in creating an automatic trading platform and how the neural network is trained in a trading environment to maximize rewards. The aim is to create a strategy that can outperform human traders using real-time market data. The host emphasizes the need for continuous training and improvement to reach the level of AlphaGo in the finance industry.


Reviving Old Movies - See How AI Colorizes Black and White Movies

Duration: 0:07:17

In this episode of the "Full Name AI" podcast, the host Rain talks about the theme of reviving old movies. He highlights the importance of these movies, which may have poor image quality but still tell great stories. Rain also discusses the movie "They Shall Not Grow Old," which uses real footage from World War I to create a vivid and authentic portrayal of the war. The movie required a team to spend four years coloring and enhancing the black and white images, with over 1,000 reference photos taken on location. Reviving old movies is no easy feat and requires a lot of time, effort, and money.


Film Shots - AI Analysis of How Oscar Blockbusters Are Filmed

Duration: 0:06:55

The podcast discuses how AI technology is being applied in the film industry. While science fiction movies often depict humans defeating advanced robots, companies such as IBM and Nvidia have started to use AI to improve movie production. Filmmakers convey their stories through a language of visuals and sound, and the language of film consists of various types of shots, such as close-ups, mediums, and wides. By analyzing and categorizing these shots using machine learning, the process of creating movies can be made more efficient and effective. With the help of AI, images can be classified into specific shot types, such as close-ups or wide shots, allowing for easier analysis and faster production. Machine learning can be used for supervised learning, where different screenshots can be analyzed and sorted manually to determine which shot types they belong to.


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