Amazonは、家族全員の好みに合わせて選べる次世代「Fire HD 8タブレット」3機種を発表しました。処理速度がさらに向上し、日々のストリーミング再生をより快適に行えるラインナップとなっています。

Today, we are excited to announce the next generation of our Fire HD 8 tablet lineup, designed with the entire family in mind. Customers can enjoy a faster performing Fire HD 8 lineup with an improved experience to handle common daily streaming needs.

The Alexa Prize SocialBot Grand Challenge is now in its third year.  And for a third time participating student teams have made exciting advances in the state-of-the-art of conversational AI.  With gratitude for the efforts of all the teams this year, I am delighted to announce the five teams that are advancing to the Alexa Prize Finals.

The three socialbots with the highest average customer ratings during the semifinal period have automatically advanced: Alquist from the Czech Technical University in Prague, Emora from Emory University, and Gunrock from the University of California, Davis. We also advanced two wildcard teams this year based on evaluation criteria that included ratings from Alexa customers, depth and breadth of topics covered, appropriateness and accuracy of responses, and scientific merit as determined by the content of their technical papers: Chirpy Cardinal from Stanford University and Athena from the University of California, Santa Cruz.

In July 2019, ten university teams were selected from applications submitted by labs around the world to compete for the Alexa Prize. Since then, teams have been working tirelessly to delight customers with engaging and coherent conversations on a variety of popular topics. Now, the advancing five teams will compete for the Grand Prize.  If they have a composite score of 4.0 or higher, and at least two-thirds of their Socialbot’s conversations with interactors last for 20 minutes, they will win a $1 million research grant for their University.

Congratulations to Alquist, Athena, Chirpy Cardinal, Emora, and Gunrock!

On behalf of the entire Amazon Alexa organization, I want to thank all of the Alexa Prize teams for their creativity, passion, and contributions to both AI science and to delighting Alexa customers. We will be publishing the teams’ technical papers in a special-edition Alexa Prize Journal later this summer, enabling all teams to share their innovative ideas with the scientific community.

In the meantime, please continue to support our finalists by chatting with their socialbots, it’s as easy as saying “Alexa, let’s chat” to your Alexa-enabled device. You can also follow #AlexaPrize on Twitter and bookmark our website for further updates.

This past September, 10 university teams, from schools around the world, officially began their journey with the Alexa Prize Socialbot Grand Challenge 3. Teams spent part of their summer attending an intensive boot camp to learn what it means to be customer obsessed and how to integrate their ideas into the Alexa Prize infrastructure. Now ready to compete, teams have built an AI (called a socialbot), at scale, capable of conversing coherently and engagingly with humans for 20 minutes. Their socialbots should be able to discuss popular topics and news events such as entertainment, fashion, politics, sports, and technology.

Even as innovators create AI that can drive cars, play board games, and diagnose diseases, the seemingly intuitive task of everyday social conversation remains an elusive goal. Undaunted, the student teams have geared up to tackle the challenge. As they build their socialbots, they will encounter esoteric problems like context modeling and dialog planning as well as exoteric problems like user experience and conversational engagement. The Alexa Prize provides a unique opportunity for industry and academia to come together to address these challenges.

We invite you to join the students on their journey and help them along the way. You can interact with their socialbots simply by saying, “Alexa, let’s chat” on any Alexa-enabled device in the US-English marketplace. You will be connected to one of the 10 socialbots at random. Chat about your favorite topics, say “Stop” when you are done, and share your feedback.

It is still early days in this pioneering journey, and we know the teams will appreciate your help and patience as they learn, iterate, and build new interactive conversational experiences. The socialbots will improve quickly based on your use and feedback. We hope you’ll enjoy interacting with them.

The student teams are working hard, having fun, and well on their way to making history. We look forward to having you join the Alexa Prize community to support them along the way.

Follow the #AlexaPrize hashtag and bookmark our site for updates.

Kixi is a German-language video on demand app designed to offer educationally valuable content for children and families. We had a quick chat with the app's developers to understand why they chose to publish it on the Amazon Appstore.

本日、Amazon.FallbackIntentが日本、フランス、イタリア、スペインで使用可能となりました。

さらに、AMAZON.PhoneNumber（ベータ）とAMAZON.Ordinal（ベータ）のビルトインスロットタイプも合わせて使用可能となりました。

We sat down with eOne to hear more about what drives their kids and family success on Amazon Fire tablets, their strategic vision toward offering versatile and rich content, and what app monetisation model they experienced resonates best with Amazon Appstore customers. 

So, you’ve published a skill to the Alexa Skills Store and now customers are using it. What’s next? With the metrics dashboard, you can measure how customers are interacting with your skill so you can continue improving their experience over time.

Teach Your Monster to Read is a suite of online literacy games designed to help children tackle their first steps of reading. We sat down with the game's developers to learn more about the game and understand why it was so important to them to publish it on the Amazon Appstore.

We are delighted to announce that in-skill purchasing (ISP) is now generally available for Alexa skills published in France, Italy and Spain.