Thomas Schack's research group, for instance, investigated which characteristics study participants perceived to be significant in grasping actions. In one study, test subjects had to compare the similarity of more than 100 objects. In another study, test subjects' eyes were covered and they had to handle cubes that differed in weight, shape, and size. From one of the monitors, Flobi follows the movements of the hands and reacts to the researchers' instructions.
Researchers at Bielefeld University have developed a grasping learning system based on robotic hands. The system called "Famula" works without knowing the specific characteristics of objects such as pieces of fruit or tools in advance. "Our system learns by trying out and exploring by itself – in the same way that babies approach new objects", says Prof. Dr. Helge Ritter. The grasping learning system was developed as part of the "Famula" large-scale project at Bielefeld University's Cluster of Excellence Cognitive Interaction Technology (CITEC).
Antwerp (Belgium) – May 16, 2017 – Today, at the imec technology forum (ITF2017), imec, the world-leading research and innovation hub in nano-electronics and digital technologies, demonstrated the world's first self-learning neuromorphic chip. The Imec Technology Forum (ITF) is imec's series of internationally acclaimed events with a clear focus on the technologies that will drive groundbreaking innovation in healthcare, smart cities and mobility, ICT, logistics and manufacturing, and energy. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy. Imec is a registered trademark for the activities of IMEC International (a legal entity set up under Belgian law as a "stichting van openbaar nut"), imec Belgium (IMEC vzw supported by the Flemish Government), imec the Netherlands (Stichting IMEC Nederland, part of Holst Centre which is supported by the Dutch Government), imec Taiwan (IMEC Taiwan Co.) and imec China (IMEC Microelectronics (Shanghai) Co. Ltd.) and imec India (Imec India Private Limited), imec Florida (IMEC USA nanoelectronics design center).
A Self-Learning Power Grid with advanced monitoring controls, centralized data processing, and advanced algorithms is the key to training and developing a Self-Learning Power Grid that will result in optimized grid operations and thus reducing costs and response times. All of this is going to be achieved with Advanced Machine Learning applications in the Power Systems Domain. Deriving meaningful analytics from disparate data sources without the right tools and technology is the challenge and this is what is being addressed by big data technologies, the application of machine learning techniques, and other learning algorithms. Now is the time to talk about integration of Modern Grid with Big Data, Machine Learning and Advance Algorithms.
IMEC's neuromorphic chip is not the first that is able to self-train by association (see BrainChip provides details of neural network architecture) however, it is novel in that it has used the variable resistance of memory devices to function in a manner similar to biological synapses. The use of memory in this way – IMEC is researching the use of ReRAM and MRAM – offers up to two orders more energy efficiency than use of logic, according to An Steegan, executive vice president of semiconductor technology and systems at IMEC. IMEC's goal is to develop manufacturing process technology and machine learning building blocks to make artificial intelligence sufficiently energy efficient that it can be integrated into sensors. IMEC's chip has learned to compose music and the rules for the composition are learnt on the fly.
Visual animal AI: https://www.youtube.com/watch?v DgPaC... Hi, welcome to ColdFusion (formally known as ColdfusTion). Experience the cutting edge of the world around us in a fun relaxed atmosphere. Eliza Doolittle) (Bicep Remix) Stumbleine - Glacier Sundra - Drifting in the Sea of Dreams (Chapter 2) Dakent - Noon (Mindthings Rework) Hnrk - fjarlæg Dr Meaker - Don't Think It's Love (Real Connoisseur Remix) Sweetheart of Kairi - Last Summer Song (ft.
These four machine learning solutions provide similar functionality and act as technological assistants in today's world. Over time, these products use similar machine learning and language processing programming to engage in more meaningful ways with the end user. Watson is an integrated platform that uses machine learning and language processing to provide end users with relevant data in any number of areas. Used primarily in business environments, Watson can uncover and answer customer questions, identify complete answers to questions from stacks of documents, and identify meaningful patterns in big data sets that companies collect and manage today.
It's almost impossible to open a copy of the Wall Street Journal or Bloomberg Businessweek these days without seeing evidence of how self-learning computers are upending various sectors of the economy. I have previously written about the effect that artificial intelligence is having on lawyers, including in some cases replacing lawyers wholesale.
Using an artificial intelligence (AI) algorithm called reservoir computing, combined with another algorithm called backpropagation, the team developed a neuro-inspired analog computer that can train itself and improve at whatever task it's performing. Not only is the team's self-learning hardware better at solving difficult computing tasks than other experimental reservoir computers, it's also capable of handling tasks previously considered beyond what traditional reservoir computing could do. By physically implementing reservoir computing and backpropagation algorithm on a photonic setup (delay-coupled electro-optical system), the hardware was able to perform three tasks: (1) TIMIT, a speech recognition task; (2) NARMA10, often used to test reservoir computers; and (3) VARDEL5, a complex nonlinear task, supposedly beyond traditional reservoir computing. "We are currently testing photonic systems in which the internal variables are all processed simultaneously--we call this a parallel architecture.