Synced Global AI Weekly November 17th
Google has announced the release of MusicVAE, a machine learning model that makes composing musical scores as easy as mixing paint on a palette. A breakthrough from Google Brain’s Magenta Project, MusicVAE generates and morphs melodies to output multi-instrumental passages optimized for expression, realism and smoothness which sound convincingly like human-composed music.
By the end of 2017, there were more than 300 fintech startups across the continent. Disrupt Africa’s Finnovating for Africa: Exploring the African Fintech Startup Ecosystem Report 2017 concludes that African fintech startups’ growth since 2015 has been nothing short of tremendous.
Microsoft researchers in the US and Asia sent a shockwave through the AI community today with their paper Achieving Human Parity on Automatic Chinese to English News Translation, which introduces a neural machine translation system they say equals the performance of human experts in Chinese-to-English translation.
According to a China Securities Journal report, the China International Capital Corporation (CICC) and China’s largest food processor, manufacturer and trader China National Cereals, Oils and Foodstuffs Corporation (COFCO) are looking to invest US$2 billion (CNY 13 billion) in JD Finance, the fintech spinoff of online retailer JD.com.
I purchased a Tmall Genie X1 — Alibaba’s flagship smart speaker — at the discounted price of US$15 during China’s November 11 “Singles Day” shopping festival. I was given order number 560,000-ish, and received the product a month later. The speaker is regularly priced at US$79, about the same as its American counterpart Google Mini.
Paige.AI is a New York-based startup that fights cancer with AI. Launched last month as a spinoff from the Memorial Sloan Kettering Cancer Center (MSK) — the largest cancer research institute in the US — Paige.AI has exclusive access to MSK’s IP in the field of computational pathology as well as its dataset of 25 million pathology cancer images (“slides”).
Baidu announced today that self-driving startup JingChi has joined its open-source autonomous driving platform Apollo as a cooperative partner. JingChi’s new CEO Tony Han said in a statement, “JingChi is pleased to join Apollo, and is willing to grow fast with Apollo’s help.”
Cyber Threats have become a critical issue in today’s world. Worldwide spending on information security climbed to over US$90 billion in 2017, a roughly 15% increase compared to 2016. Research and development of cyber threat detection and response capabilities will continue to grow this year.
Chinese media is reporting that several domestic brokers and investment banks were recently informed by the China Securities Regulatory Commission (CSRC) that it will relax regulations on prospectus approval time and profitability minimums for Chinese unicorns in the domains of artificial intelligence, cloud computing, biotech, and high-end manufacturing.
Trashbot uses cameras and sensors to scan discarded items. A machine learning algorithm based on Bayesian classifier sorts the trash for either landfill or recycle. If you dump an unfinished can of Coke, excess liquid will be drained off on a Teflon-coated sheet.
DataVisor is a Mountain View, California based anti-fraud startup that uses AI to detect fake accounts, prevent money laundering, and protect financial institutions from credit scams. The company offers clients its DataVisor APIs for real-time data connection, and a specialized UI for direct results.
The Massachusetts Institute of Technology (MIT) and Chinese AI Unicorn SenseTime today announced the MIT-SenseTime Alliance on Artificial Intelligence, a partnership the duo says “aims to open up new avenues of discovery across MIT in areas such as computer vision, human-intelligence-inspired algorithms, medical imaging, and robotics.”
Chinese netizens are all ears for the company’s “hearty” AI-powered music recommendations. In an interview with Synced, NetEase Data Scientist Jia Xu and Product Manager Bowen Shen explained the NetEase system, which learns how to predict what songs will resonate with a user’s particular taste in music…