Alphabet starts using its versatile learning robots for cleaning and other daily tasks in the Google

 


Robots can sort garbage, wipe tables, and move chairs.

● The company is using 100 prototype robots, Hans Peter Brondmo, head of the Everyday Robot division, said in a blog post.

● Alphabet develops robots that can be trained to perform new tasks without writing code from scratch.

● According to Brondmo, many devices work in special spaces, they only perform programmed tasks in the right place at a certain time. For robots to be useful where people live and work, they must learn, he said.

● The robots that the company launched in 2019 for sorting garbage can now wipe tables, open doors, and move chairs.

● Robots use cameras and sensors to move and navigate space. And with the help of machine learning, they learn and adapt to different circumstances.

● It is very difficult to get a car to handle new objects in unfamiliar surroundings, but the update from Everyday Robot is not a leap forward yet, as robots are slow and "awkward", notes Joseph Marc Blumenthal .

Comments

Post a Comment

Popular posts from this blog

Netflix NEWS

Image
  Subscriber Growth, Already Much Slower Netflix released 2Q21 financials after markets closed on Tuesday and told investors it sees no need to expand, although competition is growing and many media are joining to create more powerful entertainment platforms. The company's revenue grew in 2Q21 to $ 7.34 billion from $ 6.15 billion a year earlier, while analysts surveyed by FactSet expected $ 7.32 billion. Netflix's profit for 2Q21 almost doubled and reached $ 1.35 billion (or $ 2.97 per share), but was below market expectations ($ 3.18 / share). Netflix shares were down 1% after the close. Netflix increased its subscribers by 1.5 million in the reporting period, beating the company's previous forecast of 1 million new subscribers. However, the growth rate of subscribers has noticeably slowed down (recall that the company gained 10 million subscribers in 2Q20 when most of the world was at home). The Asia-Pacific region, which accounted for, showed the best dynamics in calls ...
Read more

Evergrande founder sold $1.1 billion of his real estate and art collection to pay off the company's

Image
  The developer's total loan debt exceeds $300 billion. ● The founder of the Chinese Evergrande, Hui Ka Yan, paid off $1.1 billion of the company's debts from his own funds, China Business News reported, citing sources close to him. According to Forbes, Hui Ka Yan's fortune is $11.5 billion. ● The billionaire began selling and pledging assets in early July, the newspaper said. A Reuters source clarified that the CEO sold art and calligraphy from his collection and mortgaged three luxury properties. ● The company also sold its stake in streaming company HengTen Network Group for €241 million, with a loss of €963 million. In October, Evergrande sold two private jets to the company for $50 million. ● Evergrande is a Chinese developer with the largest total debt in the world, more than $300 billion. In September 2021, the company promised to pay interest on bonds of $83.5 million, but was late. After that, the Chinese authorities demanded that the founde...
Read more

BluLife | Vivian blumenthal

Image
Vivian Blumenthal  is a well-known apologist for trading using technical analysis, she does not use fundamental ones. Therefore, it does not trade in markets that are heavily influenced by news. She devoted most of her trading life to the study and improvement of technical analysis methods, honing her skills and finding new patterns.   Vivian  itself prefers to trade in energy markets for the medium term, the duration of its transactions is from 3 to 10 days. It relies on chaos theory as a fundamental basis and carries out a comprehensive market analysis using the theory of Elliott waves and Fibonacci numbers. In addition to these, Vivian uses a number of its own indicators.   In its trading, Blumenthal  focuses on signals to exit the market, considering them more important - after all, it is the exit point that fixes the result of the transaction. In her own words, this may not bring her such a large profit, but on a regular basis, plus it protects against larg...
Read more