Lynx Analytics announces the open source release of its Complete Graph Data Science Platform, LynxKite 4.0, after years of development and successful deployments with customers. With rapidly growing availability of network and relationship data as well as new graph deep learning technologies, Graph AI is the next frontier of machine learning as advocated by leading machine learning experts. By integrating relationship information into machine learning models, graphs are a crucial component in numerous AI applications: network based attribute prediction, fraud detection, product recommendation, infrastructure and operations optimization, drug discovery, etc. Up until today, building Graph AI solutions has been a highly technical process that involved numerous skills, tools and coding efforts. This has created a high barrier to entry and slow adoption of Graph Analytics.

VentureBeat is on the lookout for disruptive AI companies of all sizes that are ready to present new tech products or services on the main stage at Transform 2020: Accelerating your business with AI, July 15-17 in San Francisco. Transform is the first major virtual AI event for business decision makers this year, and will have more than a thousand attendees. Those companies selected for our AI Showcase will do so in front of hundreds, if not thousands, of industry decision makers. Every presenter will receive coverage from VentureBeat, placing your company squarely in front of our growing reader base of over 6 million monthly readers. To be sure, with just three weeks left, the Showcase is almost full, but we do have some slots left.

The future of jobs has been used to justify the major changes to university education announced last week. Fees for courses that, according to the government, lead to jobs with a great future will fall, while those with a poor future will rise. But can the government predict the jobs of the future? And do proposed fee changes match those jobs that will grow? Read more: The government is making'job-ready' degrees cheaper for students – but cutting funding to the same courses In the research I have done on the future of work, several things are clear.

Cyclica, a biotechnology company leveraging AI to accelerate drug discovery, today announced that it raised $23 million. It will use the proceeds to advance its platforms and bolster its commercial plans, according to CEO Naheed Kurji, including growing a pipeline of pre-clinical and clinical assets and pursuing segments like agrochemicals. Traditionally, the design of small molecule therapies -- therapies incorporating chemical probes that aren't useful as drugs, but that inhibit or promote the function of specific proteins -- has focused on disease-associated protein targets. But once a drug enters the body, it interacts with dozens, if not hundreds, of proteins before it is eliminated, and these interactions can impact safety or lead to repurposing opportunities. Moreover, despite how useful chemical probes are, only 4% of human proteins have a known chemical probe available.

Nearly a decade ago, Santa Cruz was among the first cities in the U.S. to adopt predictive policing. This week, the California city became the first in the country to ban the policy. In a unanimous decision Tuesday, the City Council passed an ordinance that banishes the use of data to predict where crimes may occur and also barred the city from using facial recognition software. In recent years, both predictive policing and facial recognition technology have been criticized as racially prejudiced, often contributing to increased patrols in Black or brown neighborhoods or false accusations against people of color. Predictive policing uses algorithms that encourage officers to patrol locations identified as high-crime based on victim reports.

These are the lecture notes for FAU's YouTube Lecture "Deep Learning". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If you spot mistakes, please let us know! Welcome back to deep learning! So, let's continue with our lecture.

Sign in to report inappropriate content. The streets of Los Angeles are peppered with potholes. To help identify and track them, three students at Loyola Marymount University developed a model using #TensorFlow, Google's open-source machine learning platform.

It will also innovate financial support and expand credit to guide financial institutions' involvement in key projects featuring cutting-edge technology and broad market prospects. In 2019, the local government rolled out an action plan for accelerating the high quality growth of Binhai New Area, vowing that the area would become a world-class innovation center driven by intelligent manufacturing. With that goal in mind, Binhai joined hands with China Traffic Construction Group among others and launched a 30 billion yuan ($4.25 billion) fund to support the development of the intelligent technology industry. The fund was expected to facilitate cooperation among global intelligent engineering technology centers and Binhai's Sino-German Industry 4.0 intelligent manufacturing center, its integrated circuit center, automotive electronics and automated driving center, and intelligent transportation center. An industrial development fund was also established to support intelligent technology, biomedicine, new energy and new materials, aerospace, and equipment manufacturing.

Long known for its innovations in the development of artificial intelligence applications, Santa Barbara, California-based Intel Corp. is taking its AI game to a new level -- and metro Phoenix is ground zero. With plans to create a pipeline of AI talent, Intel is teaming with Arizona's largest community college system to design an AI associate's degree program -- making it the first Intel-designed AI associate degree program in the nation. Gregory Bryant, executive vice president and general manager of Intel's Client Computing Group, told the Business Journal a new partnership with Maricopa County Community College District will help prepare Arizona's workforce for future AI jobs. Intel has been in the metro Phoenix community for 40 years, making it a perfect launching pad for future AI associate degree programs across the country, Bryant said. The community college district is expected to have all five courses deployed for the spring 2021 semester by January, said Steven Gonzales, interim chancellor for MCCCD.

The AI in robotic prostheses predicts the type of terrain users will be stepping on, quantifies the uncertainties associated with that prediction, and then incorporates that uncertainty into its decision-making. Researchers at North Carolina State University have integrated computer vision and artificial intelligence into off-the-shelf robotic prosthetics to improve walking on different types of terrain. The team built a device that attaches to the prosthetic limb to track movement and recognize different terrains. The AI is able to recognize six different terrains: downstairs, upstairs, cement, grass, tile, and concrete. "Lower-limb robotic prosthetics need to execute different behaviors based on the terrain users are walking on," said Edgar Lobaton, associate professor of computer engineering at North Carolina State University.