Researchers have proposed a model for perceptrons to be directly implemented on near-term quantum processing devices, and we have experimentally tested it on a 5-qubits IBM quantum computer based on superconducting technology. Our algorithm presents an exponential advantage over classical perceptron models, as we have explicitly shown by representing and classifying 4 bits strings using …
Today’s machine learning systems are more advanced than ever, capable of automating increasingly complex tasks and serving as a critical tool for human operators. Despite recent advances, however, a critical component of Artificial Intelligence (AI) remains just out of reach – machine common sense. Defined as “the basic ability to perceive, understand, and judge things …
Amazon’s new AI recruiting engine did not like women. Amazon had a team working since 2014 for AI software to review job applicants’ resumes with the aim of mechanizing the search for top talent. The hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars – much like shoppers …
The concept of innateness is rarely discussed in the context of artificial intelligence. When it is discussed, or hinted at, it is often the context of trying to reduce the amount of innate machinery in a given system. Gary Marcus considers as a test case a recent series of papers by Silver et al (Silver …
There is a $15 million grant from the National Science Foundation to build a 100 qubit trapped ion quantum computer. The Software-Tailored Architecture for Quantum (STAQ) co-design project aims to build a quantum computer capable of solving challenging calculations within five years. Fred Chong, the Seymour Goodman Professor of Computer Science at the University of …
DARPA Defense Sciences Office (DSO) is seeking information on new capabilities that could be enabled by current and next-generation quantum computers for understanding complex physical systems, improving artificial intelligence (AI) and machine learning (ML), and enhancing distributed sensing. The field of Quantum Computing (QC) has seen considerable progress in recent years, both in the number …
D-Wave Systems Inc., the world’s leader in quantum computing systems and software, today announced the launch of its Quadrant business unit, formed to provide machine learning services that make state-of-the-art deep learning accessible to companies across a wide range of industries and application areas. Quadrant’s algorithms enable accurate discriminative learning (predicting outputs from inputs) using …
Researchers at the Atos Quantum Laboratory have successfully modeled ‘quantum noise’ and as a result, simulation is more realistic than ever before, and is closer to fulfilling researchers’ requirements. The Atos Quantum Learning Machine (QLM) now has advanced quantum hardware modeling capabilities such as physics-based realistic qubit noise simulation and optimization of quantum software for …
Together with EPFL scientists, our IBM Research team has developed a scheme for training big data sets quickly. It can process a 30 Gigabyte training dataset in less than one minute using a single graphics processing unit (GPU) — a 10x speedup over existing methods for limited memory training. The results, which efficiently utilize the …
Just a few years ago, the consensus on a timeline to large-scale, reliable quantum computers was 20 years to never. This was in spite of the success that DWave systems had with adiabatic quantum computing systems. “Nobody is saying never anymore,” says Scott Totzke, the chief executive of Isara Corp., a Canadian firm developing encryption …
Neuromation is creating a distributed platform to service all aspects of future synthetic data ecosystem. The platform will allow users to create dataset generators, generate massive datasets, train deep learning models. Users will also be able to trade datasets and models in the platform marketplace. They plan to take advantage of the latest trends in …