blue and red background stock videos & royalty. Therefore, it is suggested that cold colors are used in cognitive learning for emphasizing on short term memory. Blue and red abstract ink color marble effect, Vibrant color and motion of chemical reaction from two color. Results: The result of analysis of variance with repeated measures showed that cold background color resulted in better short-term memory recall than other colors (P≥0.05).Ĭonclusion: Based on the findings of this study, color, probably, can be considered as one of an environmental factor leading to short term memory improvement. Tachistoscope of RT-887 model, produced by Sina Institute of Behavioral Sciences, was used to measure sensory and short-term memory. Methods: In this quasi-experimental study, 24 male and female students of the Faculty of Physical Education, University of Tehran, with an age range of 22 ☑.64 participated. Therefore, the aim of the present study was to investigate the effect of cold, warm, neutral and favorite colors on short-term memory. And you don’t have to have a one-player-takes-it-all mentality.Objective: Having in mind the fact that sports performance is done in environments with different colors, environment color, as one of the environmental constraints, can affect attention, acquisition, learning and also memory. We don’t have to repeat what Silicon Valley does for our languages. We’re actually meeting every other week with other language technology startups, discussing how we can come together and solve this problem our own way. I absolutely belong to a tribe, or whatever we want to call it - a kind of pan-African AI movement. Do you have kinship with other developers and companies that are working on making products in low-resource languages? So it makes it even more urgent to create language-specific technologies. Most of the data that powers them is basically internet data, and there is not enough data online for these languages. Chatbots like ChatGPT are utterly broken or useless for these languages. If you ask ChatGPT in Tigrinya or Amharic the simplest and most frequently asked questions, it gives you gibberish, a mix of Tigrinya and Amharic, or even made-up words. How is your work relevant to the boom in conversational artificial intelligence tools, such as ChatGPT, in terms of building original training data sets for low-resource languages? If your native language is one of these African languages, if you have the technical know-how around machine learning, and you care about your community and the kind of problems they want to solve, that unique advantage and connection to the community can carry you further. So at Lesan, we don’t believe that you can create just one model that solves these problems. If you put it on its face and compare it with smaller startups, like Lesan or Ghana NLP, the quality is actually low. Google and Facebook overhype that they have built one single giant model to solve machine translation for hundreds of languages. What can smaller shops like Lesan bring to the table? As an automated translation service, you’re competing with the biggest and most advanced tech companies in the world. This interview has been edited for length and clarity. The startup’s use of offline print resources to create a new benchmark data set for languages from the Horn of Africa has been key to its success. Founded in 2019, Lesan has launched translation tools for Amharic and Tigrinya, which it says outperform Google Translate in terms of quality. Asmelash Teka Hadgu is the co-founder and chief technology officer of Lesan, a Berlin-based startup developing machine translation products for Ethiopian languages.
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