System Bits: Dec. 26


Adding learning to computer vision UCLA’s Samueli School of Engineering and Stanford University are working on advanced computer vision technology, using artificial intelligence to help vision systems learn to identify faces, objects and other things on their own, without training by humans. The research team breaks up images into chunks they call “viewlets,” then they have the computer ... » read more

Week in Review: IoT, Security, Auto


Internet of Things Forrester Research released its 2019 Internet of Things predictions. Some key points: Bundled service offerings will catalyze a sleepy consumer IoT market; cybercriminals will lay siege to a smart-city implementation; and a market for IoT managed services will emerge in 2019. Black Friday and Cyber Monday are coming up. Those days present some opportunities to purchase ... » read more

The Week in Review: IoT


Finance SenseTime of Beijing, China, received $620 million in Series C+ funding, valuing the company at more than $4.5 billion. Alibaba Group led the new funding, as it did with last month’s Series C round of $600 million. Qualcomm, an existing investor, participated in the latest round, along with new investors Fidelity International, Hopu Capital, Silver Lake Partners, and Tiger Global. Se... » read more

The Week in Review: IoT


Finance Palo Alto, Calif.-based Armis raised $30 million in Series B funding, bringing total funding for the provider of enterprise Internet of Things security to $47 million. Red Dot Capital Partners of Israel led the round, joined by Bain Capital Ventures. Existing investors Sequoia Capital and Tenaya Capital also participated in the latest funding, which Armis will use to expand sales and m... » read more

Even good bots fight: The case of Wikipedia (Oxford & Alan Turing Institute)


Source: University Of Oxford published via PLOS ONE, Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi, Taha Yasseri "The research paper, published in PLOS ONE, concludes that bots are more like humans than you might expect as they appear to behave differently in culturally distinct online environments. The paper says the findings are a warning to those using artificial intelligence ... » read more