|
|
January 27 · Issue #28 · View online
|
|
|
Facebook Messenger begins testing ads…and they’re big
Facebook today is beginning to test integrating ads into its mobile messaging app’s user interface. The company says it will launch what it characterizes as a “very small test” in Australia and Thailand, which will allow businesses to place an ad on the Messenger home screen.
|
Threaded messaging comes to Slack
When you’re working with your team in Slack, discussions can move quickly and cover a lot of ground. They evolve — and branch off — as people share insights, ask questions, and introduce new topics (or resurface old ones), which may not involve everyone in a channel. Now with Threads, a new way to connect related messages, it’s easier to follow and manage the variety of conversations happening in Slack.
|
|
Research Blog: The Google Brain team — Looking Back on 2016
The Google Brain team’s long-term goal is to create more intelligent software and systems that improve people’s lives, which we pursue through both pure and applied research in a variety of different domains. And while this is obviously a long-term goal, we would like to take a step back and look at some of the progress our team has made over the past year, and share what we feel may be in store for 2017.
|
Chatbots: an interview with Chris Messina, inventor of the hashtag
Chris Messina is a product guy, inventor of the hashtag, ex-Uber, ex-Google, and friend to startups. Oh, he also created his own personal bot (say hi) and set some time to talk with us about how he sees the future of bots… and humanity.
|
Why Poker Is a Big Deal for Artificial Intelligence
Playing poker involves dealing with imperfect information, which makes the game very complex, and more like many real-world situations.
|
Les chatbots- Radio Village Innovation
Les chatbots arrivent massivement dans notre quotidien. L'exemple le plus impactant est sans doute WeChat, une application mobile de messagerie textuelle et vocale développée par le géant chinois Tencent Holdings Limited. Mais qu'est-ce que sont précisément les chatbots ? Quelles limites et quelles opportunités ? Réponses dans cette émission.
|
|
Data scientists: Use sophisticated readability strategies when developing AI chatbots
t’s silly to admit, but once in while I find myself screaming at Alexa (i.e., the persona of my Amazon Echo) because I don’t like what she’s telling me. Rationally, I know it’s not her fault that my vacation plans are probably ruined by impending thunderstorms, but it’s easy to get caught up in the role-play when your computer is talking to you like a human. For artificial intelligence architects, this is known as Natural Language Generation or NLG.
|
Why Chatbots Struggle So Much With Retention
Alan Greenspan coined the perfect phrase “Irrational Exuberance.” Websites like ChatBot Magazine are brought to you by the same people who brought you ZapChain (ridding the Bitcoin wave). Headlines about how everyone should build a bot are all the rage; it is the perfect environment for playing buzzword bingo.
|
How to build a better chatbot
The rise of chatbot technologies has not been the stunning success many people anticipated. The technology is now ubiquitous, but chatbots are more famous for their failures than successes. For instance, Microsoft’s Tay faced a wave of media scorn after the internet trained it to become a misogynistic racist in the span of a day.
|
|
J’ai essayé le chatbot de BlaBlaCar (et j’ai bien aimé)
Ça y est ! BlaBlaCar vient de lancer son chatbot sur Messenger ! Et guess what ? Il est hyper fonctionnel. Petite revue.
|
|
French startups leveraging AI
Discover 180+ French startups leveraging AI in a variety of applications
|
|
Feb, 7th - Chatbots, RH et capital humain -
Les robots conversationnels se préparent à une entrée remarquée dans les RH, venez nous en parler et découvrir les nouveaux usages.
|
Did you enjoy this issue?
|
|
|
|
If you don't want these updates anymore, please unsubscribe here
If you were forwarded this newsletter and you like it, you can subscribe here
|
|
|