In this guide we explain the difference between AI, machine learning and deep learning, and includes highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.
With the advent of heterogeneous computing systems that combine both main CPUs and connected processors that can ingest and process tremendous amounts of data and run complex algorithms, artificial intelligence (AI) technologies are beginning to take hold in a variety of industries. Massive datasets can now be used to drive innovation in industries such as autonomous driving systems, controlling power grids and combining data to arrive at a profitable decision, for example. Read how AI can now be used in various industries using the latest hardware and software.
Today NVIDIA unveiled a comprehensive global program to support the innovation and growth of startups that are driving new breakthroughs in artificial intelligence and data science. “The NVIDIA Inception Program provides unique tools, resources and opportunities to the waves of entrepreneurs starting new companies, so they can develop products and services with a first-mover advantage.”
In a surprise move, Google has open-sourced TensorFlow artificial intelligence software. The powerful machine learning engine is one of Google’s successful experiments and helps the search giant in automated search and analysis.
In this PBS video, Hari Sreenivasan reports on how tech firms are investing in the next generation of intelligent computer programs and in what ways the technology still lags behind humans. The report also takes a closer look at teaching machines to diagnose cancer.
Google’s investment in artificial intelligence does more than just create better search results; it allows Google’s engineers to make constant algorithm changes right under our noses.
If you haven’t heard, there is a new film about Alan Turing, one of the original computer scientists to ponder the question: Can machines think? Over at Kill Screen, David Shimomura writes that it may be time to put the Turing Test to bed.
Douglas Eadline writes that recent big investments in AI technology by IBM and Google show that intelligent systems are the future of big business. The problem is, these advancements could come at the expense of our privacy.