For the first time, researchers have managed to make intact human organs transparent. Using microscopic imaging, they revealed complex underlying structures of the transparent organs at the cellular level. The resulting organ maps can serve as templates for 3-D bioprinting technologies. In the future, this could lead to the creation of on-demand artificial organs for many patients in need. The findings have been published in Cell.

The American Council for Technology and Industry Advisory Council (ACT-IAC), the premier public-private partnership dedicated to advancing government through the application of information technology, officially announced the release of the "Artificial Intelligence (AI) Playbook for the U.S. Federal Government." It was produced through a collaborative, volunteer effort by a working group of 133 leaders from government and industry plus academia and associations, hosted by the ACT-IAC Emerging Technology Community of Interest (COI). "The AI Playbook is designed to help the United States Federal Government achieve successful outcomes and reduce risk in its understanding and application of AI technologies," said David Wennergren, CEO of ACT-IAC, "and this important work directly supports the President's Management Agenda (PMA), Cross Agency Priority (CAP) Goal 6 – Shifting from Low-Value to High-Value Work." The Playbook also follows the General Service Administration's Office of Government-wide Policy Modernization and Migration Management (M3) framework used for Shared Services. AI has the power to accelerate government services in fields as diverse as medical research and disaster recovery to help save lives and improve quality of service in impactful ways.

A lot of organizations seek to engage closely with ML developers, either to increasing product adoption or crowdsource innovation. But a lot of these efforts fall into the trap of "seen-it-done-it-all" trap, where organizations employ the same strategies to engage them which they have utilized for other developers. Machine Learning developers have unique needs from the ecosystem. They face challenges that developers from another stream are largely insulated from. Firstly, ML is a fast-changing domain.

It's common when using social media that the platform suggests people whom you may want to add as friends. The suggestion is based on you and the other person having common contacts, which indicates that you may know each other. In a similar manner, scientists are creating maps of biological networks based on how different proteins or genes interact with each other. The researchers behind a new study have used artificial intelligence, AI, to investigate whether it is possible to discover biological networks using deep learning, in which entities known as "artificial neural networks" are trained by experimental data. Since artificial neural networks are excellent at learning how to find patterns in enormous amounts of complex data, they are used in applications such as image recognition.

The pace of adoption for AI and cognitive technologies continues unabated with widespread, worldwide, rapid adoption. Adoption of AI by enterprises and organizations continues to grow, as evidenced by a recent survey showing growth across each of the seven patterns of AI. However, with this growth of adoption comes strain as existing regulation and laws struggle to deal with emerging challenges. As a result, governments around the world are moving quickly to ensure that existing laws, regulations, and legal constructs remain relevant in the face of technology change and can deal with new, emerging challenges posed by AI. Research firm Cognilytica recently published a report on Worldwide AI Laws and Regulations that explores the latest legal and regulatory actions taken by countries around the world across nine different AI-relevant areas. Specifically, the report analyzed emerging laws and regulations pertaining to the use of facial recognition and computer vision, operation and development of autonomous vehicles, issues of AI-relevant data privacy, challenges arising from conversational systems and chatbots, the emergence of the possibility of lethal autonomous weapons systems (LAWS), concerns around AI ethics and bias, aspects of AI-supported decision making, the potential for malicious use of AI, and other regulations and laws pertaining to the use, creation, or interaction with AI systems.

In a world first, scientists have discovered a new type of antibiotic using artificial intelligence (AI). It has been heralded by experts as a major breakthrough in the fight against the growing problem of drug resistance. A powerful algorithm was used to analyse more than one hundred million chemical compounds in a matter of days. The newly discovered compound was able to kill 35 types of potentially deadly bacteria, said researchers. Antibiotic-resistant infections have risen in recent years - up 9% in England between 2017 and 2018, to nearly 61,000. If antibiotics are taken inappropriately, harmful bacteria living inside the body can become resistant to them, which means the medicines may not work when really needed.

Because of the exponential growth of text data, enterprises need to work shifting from numeric towards text information. Making sense of text information is becoming a key asset for businesses. Take an insurance company for instance: its whole business is dependent on text data since all its products are defined verbosely. All customer interactions happen in natural language. At the moment, the only way to deal with this mass of textual information is to use a human understanding of language.

You've heard of robotic bees, but have you heard of robotic butterflies? Chinese researchers have published a study that focuses on their efforts to develop solar-powered wings that imitate the flapping motion of a butterfly. They were able to develop wings that can do this at a rapid rate using light-driven actuators, and a new video shows all of the different ways they can utilize what they've created. The study was published in the journal ACS Applied Materials & Interfaces on January 16th, and a video put out on Wednesday explains how the project came together. When the wing was exposed to the heat of a strong light source, much like the Sun, the polymer layer on the bottom expanded significantly more than the metallic layer on the top, which caused the wing curl.

The need for ethics, standards and policies for the ever-increasing use of artificial intelligence and other emerging tech is the impetus behind a new research center at the University of Michigan. The Center for Ethics, Society and Computing (or ESC -- "Escape" -- for short) is "dedicated to intervening when digital media and computing technologies reproduce inequality, exclusion, corruption, deception, racism, or sexism," according to its mission statement. "[AI] is a topic that used to be on the fringes but more recently has gotten broader attention as we have experienced many unintended consequences of technology," said center Associate Director Silvia Lindtner, assistant professor of information and art and design, in a statement. For instance, the increasing use of AI and data-based algorithms can lead to gender and racial stereotyping. Beyond AI and data usage, the interdisciplinary center will also focus on issues of privacy, augmented and virtual reality, open data and identity.

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