Month: July 2019

AI Research

Nature Cover Story | Chinese Team’s ‘Tianjic Chip’ Bridges Machine Learning and Neuroscience in Pursuit of AGI

Today, respected scientific journal Nature boosted the case for AGI with a cover story on a new research paper, Towards artificial general intelligence with hybrid Tianjic chip architecture, which aims to stimulate AGI development by adopting generalized hardware platforms.

AI Industry Self Driving

Cars, Cockpits, & Intelligent Pilot

A hot topic today is Intelligent Pilot Systems, an automotive driving concept comprising a smart vehicle assistant that enables a user to interact with the vehicle via voice; and intelligent mechanized function control for car entertainment, safety, autonomous driving and navigation.

AI Research

Meet Your AI-Generated Dream Anime Girl

Do you dream of Asuna Yuuki? Do you long to escape to a fantasy world with a beautiful anime partner? If so there’s a new artificial intelligence system just for you — the “Waifu Vending Machine” can create a highly customized anime companion in minutes.

AI Research

Magically Remove Moving Objects from Video

Have you ever shot a perfect video only to have it spoiled by an unsightly pedestrian, truck or other moving object passing through the frame? Although most people know how to crop or photoshop their photos to remove unwanted stuff, doing so with video is another matter entirely.

AI Industry

How NLP Is Advancing Asset Management

Although natural language processing (NLP) has been around for decades, the recent and rapid rise of deep learning algorithms together with the increasing availability of massive amounts of text data are creating new and appealing opportunities for the tech across many industry sectors, including in the investment world.

AI Industry

A New Paradigm for Production in the AI Era

Artificial intelligence is having a revolutionary effect on industrial production. In the following article, Baidu Ventures Partner and Founder of Comet Labs Saman Farid shares his thoughts on recent changes and future trends in Machine learning-driven production philosophies and technologies.