Amazon.Com, Inc. / Syaza Kautsar Mohamad Halim
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Amazon.com, Inc. is an American multinational technology company which based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. Along with Google, Apple, Microsoft, and Facebook, Amazon is one of the Big firms in the United States' information technology industry. The business has been labelled "one of the most powerful economic and cultural forces in the world," as well as the most successful brand on the planet. In this study, product from Amazon that focus on is Alexa. Alexa is a virtual assistant AI (Artificial Intelligence) which capable to voice interaction for music playback, making to-do lists, setting alarms and many more. Alexa also can control several smart devices in home automation system.The first problem regarding Alexa is absence on mobile devices. As we know smartphone is necessary item in most of our daily life. Its better for Alexa to also focusing more on utilization fully of smartphone potential and fully use it. Google assistant and Siri can be example as a reference. Secondly, language option in Alexa. Currently, interaction and communication with Alexa are available only in English, German, French, Italian, Spanish, Portuguese, Japanese, and Hindi. In Canada, Alexa is available in English and French (with the Quebec accent). In order to meet every user requirement, the language option should be wider. Alexa also must improve and add on voice customize which enable user to customize Alexa voice by using human voice on its own either by user or someone else and make it less “robot” voice. Furthermore, Alexa also can improve by adding “Kids Mode”. Its will be help for parent to monitor their kid’s behaviour and online activities.Moreover, solution regarding problem state as before are needed to do innovation, Research and Development (R&D) and update software in Alexa. The next solutions are do survey among user and non-user regarding what Alexa need to improve. This is important because in order to meet user needs, we must know what they need. Developer team of Alexa application which already available in mobile platform should upgrade more usage especially in term of language option and voice customization. Kid’s mode also should be added in Alexa system to avoid kids do something out of parent supervision. All these solutions are considered as to improve Alexa in reborn into more quality virtual assistant AI technology to be served into customers which affordable with the price also help to sustain their business growth, developments and competitiveness in market with other big brands.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle