Recently, at the launch event for the new EX90 electric SUV, Volvo announced its continued collaboration with NVIDIA, stating that future models will be equipped with NVIDIA's chips. The EX90 is Volvo's first software-defined vehicle, featuring the NVIDIA Orin system-on-chip, which boasts computation capabilities exceeding 250 trillion operations per second. This SUV's core computing architecture not only supports deep learning functions but also provides robust support for its AI-driven active safety and driving assistance systems. Furthermore, Volvo plans for future enhancements.

Amazon has announced the acquisition of a non-exclusive license from robotics startup Covariant and has absorbed approximately a quarter of its workforce, aiming to accelerate innovation in the automation field and enhance the safety and adaptability of robots. The founding team of Covariant will join Amazon's AI and robotics team, marking a further enhancement of Amazon's automation capabilities on top of the 750,000 robots already deployed in its logistics centers. Covariant will continue to support its existing customers and develop warehousing automation technology.

Indian fintech giant Paytm has announced layoffs of 1,000 employees, affecting its operations, sales, and engineering teams. The primary reason for this decision is the integration of artificial intelligence technologies to enhance operational efficiency by using AI-driven automation to eliminate repetitive tasks, thus reducing costs and improving efficiency. This is not the first time layoffs have occurred; back in 2021, Paytm had previously laid off some employees due to performance issues. The layoffs mainly affect the lending team, which, despite the strong performance of the loan business, accounts for more than 30% of the total workforce. In response to cost pressures, the company has decided to downsize.

Clapper is an AI generation and video editing tool developed independently by an individual developer, integrating various AI technologies including image generation, video creation, and audio. It offers APIs for image, audio, music, and video generation, allowing users to complete the entire process from creative conception to final production on a single platform. Clapper features a timeline function that supports content generation and editing orchestration, providing both a traditional interface and an infinite canvas mode to meet the needs of divergent thinking and precision editing. As an open-source tool, Clapper...

Recently, Alibaba launched an AI data science assistant named DS Assistant, which can automate the entire process from data exploration to model evaluation, making data science work simpler and more efficient.

AI startup Ema raised $36 million in Series A funding, bringing total funding to $61 million, led by Accel and Section32. Ema aims to automate tedious tasks for businesses through no-code AI agents capable of handling various functions like customer support, employee experience, sales, marketing, and compliance. Their AI agents are deployed across fintech, legal, healthcare, e-commerce, and insurance sectors, providing advanced experiences with l....

Simple AI-driven robots have the potential to revolutionize material flow in warehouses. Chris Walti, former head of Tesla's Optimus project, and Ahmad Baitalmal, a former Rivian executive, have co-founded Mytra, a startup focused on warehouse automation. Mytra aims to tackle the challenging issue of warehouse material flow through a simple, modular 3D robotic system.Walti stated, "We've taken a distinctly different approach, reducing the number of parts and shifting the focus from hardware to s

Walmart showcased its latest advancements in the field of generative AI at the VB Transform2024 event. As one of the world's largest retailers, Walmart not only utilizes AI technology to enhance customer experience but has also made significant achievements in improving productivity and operational efficiency.Desirée Gosby, Vice President of Emerging Technologies at Walmart, pointed out that the company is continuously expanding the application of AI technology, including the optimization of op

Lately, Forbes published an article stating that automation driven by AI technology might be the key to solving issues such as immigration, declining birth rates, and retirement. However, strangely enough, automation is not part of the planned policy solution for these problems. Just like the U.S. federal government faced various issues in dealing with the COVID-19 pandemic, "speed of light" action was not one of them.Image Source Note: The image was generated by AI, provided by image authorizat

["The humanoid robot Figure01, powered by ChatGPT, can assist with household tasks.","The robot uses ChatGPT to perform basic autonomous tasks and engage in real-time conversations.","Figure AI demonstrates how the robot can recognize objects, plan actions, and reflect on memories.","Figure01 interacts with people, executes household tasks, and showcases potential applications."]

New research from the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory challenges previous predictions, suggesting that the impact of artificial intelligence on employment and automation may be slower than expected. The study focuses on the field of visual analysis, such as quality inspection on production lines, and finds that while certain tasks can be automated using AI, the economic appeal of automation is relatively low. Taking the job of a baker as an example, the research reveals that the costs of deploying simple AI systems far exceed the actual wage savings achieved through automation, making the employment of humans still more economically viable.

Google is considering automating the work of its sales team with artificial intelligence. The launch of a new era of AI-based advertising could see more positions being replaced by AI. The influence of artificial intelligence is increasing in fields such as education, auditing, and healthcare.

The AI system A-Lab independently created 41 new materials in 17 days, averaging more than 2 new materials each day, surpassing human speed. The GNoME model developed by Google DeepMind contributed nearly 400,000 new compound data points to material projects. A-Lab successfully synthesized 41 out of 58 predicted materials, achieving a success rate of 71%. GNoME improved the accuracy of structural stability predictions, significantly enhancing the efficiency of material discovery. AI facilitates the rapid manufacturing and testing of new materials, focusing on the development of critical materials for future technologies.

A UK government report indicates that teachers are utilizing artificial intelligence for lesson planning and grading. The report warns that AI could generate unreliable or biased content, raising concerns about reliability. Most respondents hold an 'overall optimistic' attitude towards the use of AI in education, although some reservations exist. Teachers state that using AI can save time, allowing them to focus more energy on work with greater impact.

Forward, a company founded by former Google employees, has raised $100 million to launch automated health pods called CarePods. CarePods are placed in locations such as shopping malls and gyms. CarePods represent a reimagining of healthcare. Forward has a seven-year history as a startup, establishing a consumer-focused primary care clinic network.

McKinsey predicts that generative AI could increase global productivity by $2.6 trillion to $4.4 trillion annually over the next few years. Generative AI has the potential to automate high-income knowledge jobs, such as sales, marketing, and software development, on a large scale. AI automation is expected to initially take hold in wealthy countries, exacerbating the gap with countries like India that adopt it more slowly. Caution should be exercised regarding the potential impact of the rapid proliferation of AI technology on employment, taking into account risks such as algorithmic bias and data security.

👍Large models drive work automation: The article mentions that by 2030-2060, nearly all types of work will be automated by artificial intelligence. 👍Knowledge work benefits the most: Large models have the greatest impact on knowledge work, which was previously regarded as having low automation potential. 🔥Wide application prospects: Industries such as sales, marketing, software development, and customer operations are the most suitable for large model applications.

Due to labor shortages, security companies are actively testing humanoid robots to improve work efficiency. The foreign security industry is seeking solutions to the high turnover rate by investing in robotics companies to promote automation. The use of robots in the food industry has raised consumer concerns, as it may affect personalized service. The trend of labor shortages is also driving other industries to adopt robots, but consumers have reservations about this.

The latest ABBYY Intelligent Automation Status Report shows that despite economic instability, enterprises are rapidly increasing their investment in artificial intelligence, surging by over 80%. 82% of IT executives acknowledge its positive impact. The report highlights the beneficial effects of AI, including increased work value, innovation, employee happiness, and enhanced creativity among staff. It also points out AI's positive impact on employee retention and work efficiency, with 49% of participants stating they have witnessed an increase in employee retention rates following the integration of intelligent automation.

The International Labour Organization of the United Nations has released a report on the impact of AI on employment, highlighting the high automation risk for clerical work, with women facing greater risks. The report calls for the development of policies to regulate the application of GPT and ensure equitable sharing of technological benefits.