The 2nd International Congress on Blockchain and Applications 2020 will be held in L'Aquila from 17th to 19th of June, 2020. This annual congress will reunite blockchain and artificial intelligence (AI) researchers, who will share ideas, projects, lectures, and advances associated with those technologies and their application domains. This meeting will be co-located with that of PAAMS'20. Among the scientific community, blockchain and AI are seen as a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and AI should be used together.

November 8 is National STEM Day, a day celebrating science, technology, engineering, and math. The STEM field of 20 years ago looks very different than the one of today and will look very different in even just five years. Inspired by the air shows he saw growing up, Bill Marx went into the aerospace field in the mid-90s. Now, he is the chief technology officer at Intuitive Research and Technology Corporation. "A lot of the stuff you used to use a supercomputer for 30 years ago," Marx said.

Experimental approaches to characterize their responses to images have proven challenging in part because the number of possible images is endless. In the past, seminal insights often resulted from stimuli that neurons in the brain'liked.' Finding them relied on the intuition of the scientists and a good portion of luck. Researchers at Baylor College of Medicine and the University of Tübingen in Germany have now developed a novel computational approach to accelerate finding these optimal stimuli. They built deep artificial neural networks that can accurately predict the neural responses produced by a biological brain to arbitrary visual stimuli.

This post was authored by Elizabeth Fernandez, senior public information representative with UCSF News. "Intelligent Imaging" Hub will harness computational tools in medical imaging to improve patient care. UC San Francisco is launching a new center to accelerate the application of artificial intelligence (AI) technology to radiology, leveraging advanced computational techniques and industry collaborations to improve patient diagnoses and care. The Center for Intelligent Imaging, or ci2, will develop and apply AI to devise powerful new ways to look inside the body and to evaluate health and disease. Investigators in ci2 will team with Santa Clara, California-based NVIDIA Corp., an industry leader in AI computing, to build infrastructure and tools focused on enabling the translation of AI into clinical practice.

Responsibilities: • Invent and build solutions to real-world customer problems through close collaborations with design, research and engineering teams • Ability to quickly change and iterate based on the team's needs • Multi-task and change from one task to another without loss of efficiency or composure Skills: • Bachelor's in Computer Science, Electrical Engineering, Statistics or related field • Ability to run experiments and analyze results scientifically • Must have working experience and be expert in building AI Models • Solid understanding in algorithms and data structure • A breadth of technical skills and know how to use the right tool for the job • Have a passion for solving very difficult technology challenges and learning new technologies and domains • Ability to work independently and multi-task effectively • Ability to understand business requirements and translate them into technical requirements • Flexible and willing to accept a change in priorities as necessary • Strong attention to detail • Experience working in a collaborative environment with designers and researchers Desired Skills & Experience: • Experience in data analysis is a plus • Good understanding of ML application design principles • Experienced in exploring a new field

Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S. Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general. Most of the jobs we are recruiting for are not posted online, so if you would like to know of all the opportunities we have that match your interests and qualifications, then please get in touch with us.

Rahul Raj has more than 6 years of IT industry experience in software development, business analysis, client communication and consulting for medium/large scale projects. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training and enhancements. He has written a number of articles about neural networks in Java and are featured by DL4J and Official Java community channels. He is also a Certified Machine Learning Professional by VSkills, the largest Govt. He is best described as a determined person who believes in power of positivity to attract infinite possibilities in life.

Microsoft and Warner Bros. have collaborated to successfully store and retrieve the entire 1978 iconic "Superman" movie on a piece of glass roughly the size of a drink coaster, 75 by 75 by 2 millimeters thick. It was the first proof of concept test for Project Silica, a Microsoft Research project that uses recent discoveries in ultrafast laser optics and artificial intelligence to store data in quartz glass. Machine learning algorithms read the data back by decoding images and patterns that are created as polarized light shines through the glass. The hard silica glass can withstand being boiled in hot water, baked in an oven, microwaved, flooded, scoured, demagnetized and other environmental threats that can destroy priceless historic archives or cultural treasures if things go wrong. It represents an investment by Microsoft Azure to develop storage technologies built specifically for cloud computing patterns, rather than relying on storage media designed to work in computers or other scenarios.

Today, machine learning influences research and consumer products and is leading to breakthroughs across industries like healthcare, manufacturing, finance, and retail. In the field of reinforcement learning, machine learning meets the real world when applied to robotics. Knowing this, how can we ensure students are skilled and prepared to leverage the power of this technology? Intermind Co. is an education group bringing academic programs from leading universities on subjects like machine learning and artificial intelligence to international college students. We recently created a project-based learning experience around the use of Robot Operating System (ROS), the leading open-source framework for writing robot software, and AWS RoboMaker, a service that helps develop, test, and deploy intelligent robotics applications at scale.

Machine learning and artificial intelligence are complex subjects and while you might see them being mentioned every day, you might not necessarily understand how they work. Two years ago, Google launched a site called Teachable Machine, which let you train a simple model using their camera without any code. Now, it's launching an updated version so you can train more advanced models. The earlier version allowed you to train three classes through your camera. The new model, not only lets you define more than three classes, it also allows you to use images, audio clips, pose data, or your own dataset for the training.