ai future outlook Articles and Reports
Explore future perspectives on artificial intelligence applications and trends - including products and applications in marketing, finance, and other sectors.
At the heart of our present day sharing economy is the often lauded, sometimes corrupted, and occasionally controversial open source model. Though the open source model has its roots in the early days of automobile development, our Internet age has proved an ideal medium for free licensing and distribution.
The world’s biggest names in technology – particularly those in Silicon Valley – have released their artificial intelligence technology via the open source model over the past few months in a domino effect that has made some of the most sophisticated AI programs available to anyone with Internet connection. In huge maneuvers, Google, Facebook, Microsoft, and China’s search engine giant Baidu have taken deep learning even deeper.
In November of last year, Google open sourced the software library for TensorFlow, the tech giant’s perceptual and language comprehension program. Though TensorFlow wasn’t the first open source AI software out there – software such as Torch, Caffe, and Theano – it is widely regarded as some of the most advanced AI algorithms in the world. Thus Google’s move to make TesorFlow open source marked an unparalleled step forward, which its competition couldn't resist but to follow.
Ten years ago most kids were afraid of aliens, terrorists, and maybe even adulthood. But the times, they are changing. Adulthood may still be a common fear but a recent international survey reveals children from around the world are worried that their jobs will be taken over by a computer by 2025.
White collar professions were once considered safe from automation. It was blue collar work such as labor and manufacturing jobs that appeared at risk of becoming redundant in the wake of advancing technologies. But according to the Word Economic Fund – who held a conference last week in in Davos Switzerland – white collar work is not so secure as it seemed. AI systems continue to advance and challenge the status quo.
The "fourth industrial revolution" is upon us and, according to the World Economic Fund, it is set to drastically disrupt business modes, labour markets, and economies across the world. In fact, in a report released this week, the Swiss foundation gave a conservative estimate of 7.1 million jobs that could vanish due to redundancy and automation by 2020. Some 2.1 million jobs will be created and marginally offset that loss – but the 5 million remaining, mostly white collar jobs, will see themselves performed by one or more machine.
Video games and artificial intelligence software have long been closely associated. Some games, like Halo and Mass Effect, featured virtual AI more advanced than any program in reality. Meanwhile the actual AI used in most games is rigid and fails to meet the standards of learning we’d classify as intelligent, the video game format has been used for years to test AI systems through simple software. Rather than training in games like League of Legends or Call of Duty, researchers would apply theses systems to games like checkers and poker to determine how the AI would behave.