SeeTree raises $11.5M to help farmers manage their orchards

SeeTree, a Tel Aviv-based startup that uses drones and artificial intelligence to bring precision agriculture to their groves, today announced that it has raised an $11.5 million Series A funding round led by Hanaco Ventures, with participation from previous investors Canaan Partners Israel, Uri Levine and his investors group, iAngel…

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What you need to know ahead of the EU copyright vote

European Union lawmakers are facing a major vote on digital copyright reform proposals on Wednesday — a process that has set the Internet’s hair fully on fire. Here’s a run down of the issues and what’s at stake… Article 13 The most controversial component of the proposals concerns user-generated content…

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Scientists Have Come Up With A Way To Tell Whether A Video Is Fake

The technology used to create DeepFake videos – AI-generated face swaps to make fake content – is getting better and more realistic. To combat this cycle of “fake news”, researchers from the State University of New York (SUNY) developed an AI method to tell the difference between real people saying real…

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“Deep Fake” Videos Created By AI Just Got Even More Terrifying

Fake videos created by AI-assisted algorithms are already causing a stir. So-called “DeepFakes” have put other people’s words into the mouths of politicians and even superimposed celebrity faces onto the bodies of porn actresses. Now, researchers have developed a new approach that can make the videos even more convincing, which makes…

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How Coders Are Fighting Bias in Facial Recognition Software

Software engineer Henry Gan got a surprise last summer when he tested his team’s new facial recognition system on coworkers at startup Gfycat. The machine-learning software successfully identified most of his colleagues, but the system stumbled with one group. “It got some of our Asian employees mixed up,” says Gan,…

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How Coders Are Fighting Bias in Facial Recognition Software

Software engineer Henry Gan got a surprise last summer when he tested his team’s new facial recognition system on coworkers at startup Gfycat. The machine-learning software successfully identified most of his colleagues, but the system stumbled with one group. “It got some of our Asian employees mixed up,” says Gan,…

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