AI is not only a key enabler for how 5G will function, but important for new applications that will benefit from the future networks. Niall Roche UCL’s Enterprise Tech Lead gives us more insight on this in his CognitionX blog.
Ericsson has now announced that it has concluded a 5G field trial with Swedish telecom Telia that saw the transfer of information at a rate 40 times faster than what’s currently achievable via 4G
And also announces that UCL will help coordinate an Open Call for companies to apply for funding in the region of £25,000 for projects using elements of 5G that can make a significant impact to their products or services. The first TRIANGLE Open call is open until October 31st for more details visit the blog.
TechTarget nicely describes the opinion of Ritika Gunnar, a vice president in IBM’s data of Data Science:
“The data science soul… understands the nuances of the business. Looking for trends is just database stuff and SQL queries….data science is more about understating the outliers and finding patterns that were not evident. You’ve got to dig much deeper.”
As one of our partners said on Wednesday it’s about finding the pearl not showing hundreds of oysters.
Pure, unadulterated research
Emoji me what could I mean? In this paper Isabelle Augenstein and team release emoji2vec, pre-trained embeddings for all Unicode emoji which are learned from their description in the Unicode emoji standard. The resulting emoji embeddings can be readily used in downstream social natural language processing applications alongside word2vec.
I’m excited to see a sudden improvement in Twitter sentiment analysis models after this. Maybe even in their valuation?!
MAPD presents a staggering, 1.2 billion row taxi/limo/uber/lyft dataset from New York. Processing the data in such amazing ways relies on nearly 40,000 GPU cores and Low Level Virtual Machines (which are elaborated upon here)