1.Yoshua Bengio: Yoshua BengioOCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of the 2018 ACM A.M. Turing Award for his work in
2019-04-11
It’s all about that vibe. Anyone who has ever compiled a mix-tape, or a Spotify playlist for that matter, knows that compilations succeed when they carry a certain emotional quality across their songs. That’s why the music data specialists at Gracenote
2019-04-11
In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer
2019-04-10
Ageōmétrētos mēdeìs eisítō. That’s Greek for “Let no one untrained in geometry enter” — the moto famously inscribed above the entrance to Plato’s Academy. It’s a straightforward enough (if you’re fluent), but not every case is so
2019-04-10
Quantum computing and artificial intelligence are both hyped ridiculously. But it seems a combination of the two may indeed combine to open up new possibilities. In a research paper published today in the journal Nature, researchers from IBM and MIT show
2019-04-10
China wants to become the world leader in artificial intelligence by 2030 — but a new analysis by Seattle’s Allen Institute for Artificial Intelligence, or AI2, suggests that Chinese researchers are on track to take the lead well before that. The
2019-04-10
According to the Centers for Disease Control and Prevention’s latest incidence data, cancer is the second leading cause of death in the United States, exceeded only by heart disease. The tragic statistics are difficult to internalize. However, there is
2019-04-10
In recent months, Uber Engineering has shared how we use machine learning (ML), artificial intelligence (AI), and advanced technologies to create more seamless and reliable experiences for our users. From introducing aBayesian neural network architecturethat
2019-04-10
As a data engineer, a big challenge is to manage, schedule, and run workflows to prepare data, generate reports, and run algorithms. This post suggests a possible, quick-to-implement solution for these activities with a simple example. Managing and
2019-04-10
