Goto

Collaborating Authors

 Media


Japanese honeybees learned how to 'cook' murder hornet: report

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Deadly hornets from Asia that measure up to 2 inches long and can wipe out entire honey bee colonies within hours have been spotted for the first time in the U.S. These so-called "murder hornets" represent a threat to the honeybee population. The hornets-which have been blamed for 50 deaths a year in Japan--have been spotted in Washington, and according to the New York Times, can rip through a hive, killing a bee every 14 seconds.


A16Z AI Playbook

#artificialintelligence

Natural Language Processing (NLP) will enable better understanding all around: we'll talk to our computers; our computers will understand us; and we'll have the Star Trek Universal Communicator in our ears translating any language into our native language in real time (and vice versa). Before we get to long, philosophical, and emotional natural conversations with our computers (as in the movie Her, we can build a lot of extremely useful language-enabled applications that help do things like understand whether someone is getting angry on a support call, write better job descriptions, and disambiguating words whose meaning change depending on context (see this Wikipedia page for a fun list of examples including one of my favorite perfectly grammatical sentences: Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo. Scroll down this page to see modern AI services in action figuring out the emotional tilt of a sentence, translating English into Chinese, and more. Let's explore a few of these capabilities by calling real-world APIs, some from the open source community and others from the major public cloud providers such as Google, Microsoft, and IBM. Check the"I'm not a robot" box, and hit analyze.


3 insights into how artificial intelligence is changing the social media game for publishers What's New in Publishing Digital Publishing News

#artificialintelligence

Artificial intelligence (AI) is no longer a technology of the future – it's a daily reality for many publishers of all sizes. AI now powers an increasing number of tools that journalists use to gather, produce and distribute content, including Echobox, the social media management platform we built specifically for publishers. With more than 700 publisher clients globally, including 25% of the world's newspapers of record, we have access to a large and unique dataset that describes how AI can change the social media game for publishers. We recently completed an analysis of how these publishers use automation technology to manage their social media. Below are three insights into how they're benefitting from AI, as well as best practices for increasing your own social media traffic.


A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect

arXiv.org Artificial Intelligence

Recent neural models have shown significant progress in dialogue generation. Most generation models are based on language models. However, due to the Long Tail Phenomenon in linguistics, the trained models tend to generate words that appear frequently in training datasets, leading to a monotonous issue. To address this issue, we analyze a large corpus from Wikipedia and propose three frequency-based data normalization methods. We conduct extensive experiments based on transformers and three datasets respectively collected from social media, subtitles, and the industrial application. Experimental results demonstrate significant improvements in diversity and informativeness (defined as the numbers of nouns and verbs) of generated responses. More specifically, the unigram and bigram diversity are increased by 2.6%-12.6% and 2.2%-18.9% on the three datasets, respectively. Moreover, the informativeness, i.e. the numbers of nouns and verbs, are increased by 4.0%-7.0% and 1.4%-12.1%, respectively. Additionally, the simplicity and effectiveness enable our methods to be adapted to different generation models without much extra computational cost.







AI-Based Research-Driven Company ASAPP Raises $185 Million

#artificialintelligence

ASAPP, an artificial intelligence research-driven company advancing the future of … ASAPP's machine learning models are continuously learning and …