APPLICATION


China's Artificial Intelligence Revolution

#artificialintelligence

By this time, China hopes to have achieved important progress in next generation AI technologies, including big data, swarm intelligence, hybrid enhanced intelligence, and autonomous intelligent systems. China's core AI industry should have surpassed 400 billion RMB (about $59 billion), with AI-related fields exceeding 5 trillion RMB (about $740 billion). To support its continued primacy in AI, China plans to create leading AI innovation and personnel training bases, while constructing more comprehensive for legal, regulatory, ethical, and policy frameworks. While formulating legal, regulatory, and ethical frameworks on AI, China will create mechanisms to ensure appropriate safety and security in AI systems.


Machine Learning Popularity Grows

#artificialintelligence

Both machine learning (ML) and deep learning (DL) have been successfully used for image recognition in autonomous driving, speech recognition in natural language processing applications, and for multiple uses in the health care industry. In that sense, there is an opportunity both in the IP for supplying various engines that do this, and in fact, also in the tools -- just as EDA supplies tools that allow people to build traditional, non-statistical computing systems. Deep learning adds multi-layer artificial neural networks to applications involving large amounts of input data and draws inferences that can be applied to new data. So the combination of vectors from the design input is increasing, in addition to multiple switching scenarios and multiple ports.


AI capabilities benefit IT through data management and automation

#artificialintelligence

Software vendors also incorporate AI in smaller features that are helpful to users, such as capabilities that translate video chats or organize images in presentations. AI in Excel will analyze and organize large amounts of data automatically. The PowerPoint AI capabilities will help users build more aesthetically pleasing slides and presentations. Microsoft Stream, the company's video collaboration software for businesses, already includes AI capabilities.


Artificial Intelligence in Healthcare: Medical Ethics and the Machine Revolution

#artificialintelligence

While this theme may be premature, the concern of teaching ethics and valuing human life is a relevant question for machine learning, especially in the realm of healthcare. Creating "laws" or "rules" for ethics in artificial intelligence as Elon Musk calls for is difficult in that ethical bounds are difficult to teach machines. Many companies have done extensive work in training systems that will be working with patients to learn what words mean and common patterns within patient care. When a patient asks about their symptoms they get clinically relevant information paired with their symptoms even if that patient uses non-medical language in describing their chief complaint.


Artificial Intelligence in Healthcare: Medical Ethics and the Machine Revolution

#artificialintelligence

While this theme may be premature, the concern of teaching ethics and valuing human life is a relevant question for machine learning, especially in the realm of healthcare. Creating "laws" or "rules" for ethics in artificial intelligence as Elon Musk calls for is difficult in that ethical bounds are difficult to teach machines. Many companies have done extensive work in training systems that will be working with patients to learn what words mean and common patterns within patient care. When a patient asks about their symptoms they get clinically relevant information paired with their symptoms even if that patient uses non-medical language in describing their chief complaint.


How Artificial Intelligence is Transforming Modern Healthcare

#artificialintelligence

To illustrate, consider Face2Gene phenotyping applications that use face recognition and machine learning to help healthcare providers in identifying rare genetic disorders. The technology innovator recently launched an AI powered Autism Test which allows providers to use eye tracking technology to identify early stages of ASD (Autism Spectrum Disorder) in children aged from 12 to 40 months. The data helps physicians identify key information in patient records and explore treatment options to create more informed treatment plans for patients. We also custom designed an algorithm with the help of Emory's Medical Researchers & Doctors for a cloud based research web application, that mimics early stage AI bots, for Emory University.


Managing Your Hybrid Cloud @CloudExpo #AI #ML #Cloud #Cognitive Computing

#artificialintelligence

Runaway cloud computing cost may be causing an information technology industry crisis. Expanding requirements, extended transition schedules and misleading marketplace hype have made "Transformation" a dirty word. Questions about how to manage cost variances and deviations with assets and cost across different suppliers abound. A recent Cloud Tech article explained that while public cloud offers considerable cost savings in comparison to private or on-premises based alternatives, there may also be significant hidden costs. Operational features like auto-scaling can cause costs to soar in line with demand for resources, making predicting costs difficult and budgeting even harder. There is also an acute need for a holistic and heterogeneous system that can track the costs of cloud services from the point of consumption (e.g., an application or business unit) down to the resources involved (e.g., storage or compute service). Sitting at the apex of all of these issues is the CFO or ...


Google AI can be used to make baby food safer

#artificialintelligence

Japanese food producer Kewpie Corp. says that it is using Google's TensorFlow artificial intelligence, to quickly inspect ingredients that go into baby food products. This allowed the artificial intelligence software to understand and flag any anomalies on the raw ingredients. TensorFlow is an open-source software library for machine learning applications. In the case of the deployment in Kewpie's plant, the system could detect potatoes that aren't fit for use in baby food, even as they were running at high speeds on a conveyer belt.


cybersecurity-artificial-intelligence-startups-market-map

#artificialintelligence

Two unicorn companies valued at over $1B are included in the map: the automated endpoint protection company Tanium and the predictive intelligence company Cylance. Mobile Security: Included in this category are startups such as Appthority, which provides a cloud-based platform that automatically identifies and grades risky behavior in mobile apps including known and unknown malware, new malware used in targeted attacks, corporate data ex-filtration, and intellectual property exposure. Similarly, Skycure's predictive technology leverages massive crowd knowledge to proactively identify threats to secure mobile devices. Behavioral Analytics / Anomaly Detection: Startups in this category include Darktrace which uses advanced mathematics and machine learning to detect anomalous behavior in organizations' systems and networks in order detect cyber-attacks.


AI Grant aims to fund the unfundable to advance AI and solve hard problems

#artificialintelligence

Eventually, the data collected from the grant program could allow the two to play a bit of machine learning moneyball -- valuing machine learning engineers without traditional metrics (like having a PhD from Stanford). In addition, Google has signed on to provide $20,000 in cloud computing credits to each winner, CrowdFlower is offering $18,000 in platform credit with $5,000 in human labeling credits, Scale is giving $1,000 in human labeling credit per winner and Floyd will give 250 Tesla K80 GPU hours to each winner. During the first selection of grant winners, Floodgate awarded $5,000 checks. The program launching today will award $2,500 checks.