Biden has previously called for stronger privacy protections and for tech companies to stop collecting data. But the US--home to some of the world's biggest tech and AI companies--has so far been one of the only Western nations without clear guidance on how to protect its citizens against AI harms. Today's announcement is the White House's vision of how the US government, technology companies, and citizens should work together to hold AI accountable. However, critics say the plan lacks teeth and the US needs even tougher regulation around AI. In September, the administration announced core principles for tech accountability and reform, such as stopping discriminatory algorithmic decision-making, promoting competition in the technology sector, and providing federal protections for privacy.

Monitoring and measuring forest ecosystems are complex challenges because software, collection systems and computing environments require increasing amounts of energy. Now, the University of Maine's Wireless Sensor Networks laboratory, or WiSe-Net, has developed a novel method of using artificial intelligence and machine learning to monitor soil moisture with less energy and cost. The method could be used to increase the efficiency of measurements in the forest ecosystems of Maine and beyond. Soil moisture is an important variable in forested and agricultural ecosystems, particularly in the recent drought conditions of Maine summers. Despite robust soil moisture monitoring networks and large, freely available databases, the cost of commercial soil moisture sensors and the power they consume can be prohibitive for researchers, foresters, farmers, and others tracking the health of the land.

We live an age full of data. In all areas of society, digital data is now abundant, but also unstructured and pretty much unexploited. Animal ecology is

How does your brain innovate? How does the human brain learn to innovate? The Thousand Brain theory, proposed by Silicon Valley innovator-turned-scientist Jeff Hawkins, is the first proposal to explain how the brain functions at the cellular level. This theory has direct, important, unexpected implications for how people learn to innovate, and therefore for how teachers, coaches, managers, and other professionals teach innovation. This article provides a summary of Jeff's conclusions.

This article was published as a part of the Data Science Blogathon. Machine learning projects can be extremely challenging in the IT industry. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are accurate and reliable. In addition, machine learning projects can be time-consuming and expensive to develop and deploy. The challenges of machine learning projects in the IT industry can be daunting but also very rewarding.

One prevalent misperception concerning artificial intelligence (AI) is that it will only be available in the future. AI is already here and everywhere, even in places where you would not see it. In reality, you're probably already benefiting from AI, whether it's through your phone's voice assistant or tailored feeds on social media. Various disciplines and industries have used artificial intelligence to automate, optimize, and perform more effectively over the years. Current uses, however, just scrape the surface of AI's entire potential.

While many companies invest all their marketing dollars in digital marketing, leaders in the public relations (PR) space claim they can achieve similar or better results combining public relations with artificial intelligence. Artificial intelligence (AI) and other advanced technologies have penetrated every aspect of life. In a survey of 6000 consumers, 33 percent responded that they think they use AI technology; in reality, 77 percent were using AI. Public relations is often an integral part of companies, big or small. But traditionally, most PR operations rely on humans.

"This is the Biden-Harris administration really saying that we need to work together, not only just across government, but across all sectors, to really put equity at the center and civil rights at the center of the ways that we make and use and govern technologies," said Alondra Nelson, deputy director for science and society at the White House Office of Science and Technology Policy. "We can and should expect better and demand better from our technologies." The office said the white paper represents a major advance in the administration's agenda to hold technology companies accountable, and highlighted various federal agencies' commitments to weighing new rules and studying the specific impacts of AI technologies. The document emerged after a year-long consultation with more than two dozen different departments, and also incorporates feedback from civil society groups, technologists, industry researchers and tech companies including Palantir and Microsoft. It suggests five core principles that the White House says should be built into AI systems to limit the impacts of algorithmic bias, give users control over their data and ensure that automated systems are used safely and transparently.

In a thread on Twitter, the company revealed Orion, a code name for the next game in its Cyberpunk series. Three Witcher projects were also announced: Polaris, the start of a new trilogy for the franchise; Canis Majoris, which will be separate from Polaris but set in the same universe and developed by an external studio; and multiplayer title Sirius from developer Molasses Flood. A fourth project, Hadar, is a new IP developed in-house by CD Projekt RED.

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