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Ever wonder how many petals are on an Artichoke? Or more importantly wonder how a learning group might approach this situation? It proves to be a great way to get learning groups to think about the scientific process, make and test predictions, and study the resulting data.

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A research team trained the algorithm by having it go through data collected by NASA’s now-retired Kepler Space Telescope, which spent nine years in deep space on a world-hunting mission. Once the algorithm learned to accurately separate real planets from false positives, it was used to analyze old data sets that had not yet been confirmed — which is where it found the 50 exoplanets.

These 50 exoplanets, which orbit around other stars, range in size from as large as Neptune to smaller than Earth, the university said in a news release. Some of their orbits are as long as 200 days, and some as short as a single day. And now that astronomers know the planets are real, they can prioritize them for further observation.

The algorithm could “validate thousands of unseen candidates in seconds,” the study indicated. And because it’s based on machine learning, it can still be improved upon, and can continue to become more effective with each new discovery.

Philosophers have wondered whether it is possible for one to ever be certain, at any given point in time, that one is not in fact dreaming, and never experience reality of wakefulness at all. Our senses allow us to perceive our environment, but is our environment part of objective reality?

“While various hypotheses have been put forward, many of these are contradicted by the sparse, hallucinatory, and narrative nature of dreams, a nature that seems to lack any particular function,” said Erik Hoel, a research assistant professor of neuroscience at Tufts University in Massachusetts, US.

Inspired by how machine “neural networks” learn, Hoel has proposed an alternative theory: the overfitted brain hypothesis.

A common problem when it comes to training artificial intelligence (AI) is that it becomes too familiar with the data it’s trained on, because it assumes that this training set is a perfect representation of anything it might encounter. Scientists try to fix this “overfitting” by introducing some chaos into the data, in the form of noisy or corrupted inputs.

Hoel suggests that our brains do something similar when we dream. Particularly as we get older, our days become statistically pretty similar to one another, meaning our “training set” is limited. We can’t inject random noise into our brains while we’re awake, because we need to concentrate on the tasks at hand, and perform them as accurately as possible.

Justin Crawford, an avid AI enthusiast and technology blogger adds a twist to the existing controversial theory describing dream origination and how training sets could naturally occur.

He explains: “But what if our dreams are actually real-time aberrations of ourselves in a higher dimensional consortium, where the noise inputs are actually daily life experiences, and ‘chaos inputs’ symbolize the aberrations of ourselves in another dimension that act as a hidden layers in a cosmic neural network. Internal randomness would be less evoked and a real-time stage for our dreams could be better explained than just internal fabrication derived from neural activity. Perhaps your mind isn’t scripting a play at all, but rather experiencing a quantum entangled projection or aberrational ‘self’ that’s occupying a different dimension of time and space.

A Possible Link Between Neuron Activity and Quantum Dream Aberration

In terms of brain function and organization, algebraic topology has been used to describe the properties of objects and spaces regardless of how they change shape. It’s been recently discovered that groups of neurons connect into ‘cliques’, and that the number of neurons in a clique lead to its size as a high-dimensional geometric object. Perhaps these geometric objects that your brain is constructing, or ‘multi-dimensional sandcastles that materialize out of the sand and then disintegrate’, are actually movements that are in tune with, or are entangled with quantum fluctuations of dream aberrations. This could possibly link dimensionalism with space-time, advocating a more multiverse-centric idea of brain activity dancing along side with an aberrational dreamscape.

In the diagram below, the cat initiates a dream forward feed by falling into a REM state. Instead of an internal fabrication of the mind, the dream analyzes alternate situational aberrations of itself in different quantum fluctuations of dimension. By means of the cosmic neural network, the cat learns and studies from its other entangled aberrations until it reaches a waking state.

Conclusion:

We either completely fabricate our dreams via our subconscious while it dances with its own neural activity or we’re viewing real-time, aberrations of ourselves in a dimension, simulation, or quantum mirror carousel. Are we biological creatures adapted by our own dreams that utilize neural networks brought forth by the cosmos?

Could the universe be so generous enough, as to offer a glimpse or projection of an entangled conscious while we dream, as to learn from its mirror-like quantum aberrations, and to successfully allow the experiences to train us for adaptation in a waking life state?

With over 112,000 images fed to an algorithm taken by the Context Camera on NASA’s Mars Reconnaissance Orbiter (MRO), scientists conclude that there was most likely a meteor impact between March 2010 and May of 2012. The innovative A.I. tool developed by NASA has helped identify new craters on Mars that may have formed within the last decade.

“AI can’t do the kind of skilled analysis a scientist can,” Kiri Wagstaff, JPL computer scientist, said in the statement. “But tools like this new algorithm can be their assistants. This paves the way for an exciting symbiosis of human and AI ‘investigators’ working together to accelerate scientific discovery.”

NASA researchers coded the impact crater classifier using 6,830 images taken by the Context Camera. This process included photos of areas where humans had previously identified impacts, as well as areas with no craters, so the tool could learn to properly differentiate surface features on the Red Planet.

“There are likely many more impacts that we haven’t found yet,” Ingrid Daubar, a scientist at JPL and Brown University, who helped develop the crater classifier, said in the statement. “This advance shows you just how much you can do with veteran missions like MRO using modern analysis techniques.”

Join in and build bright sentience on the island of Evolve. Leapfrog your career, your life, and the world.

In each city, you can go to the university to learn both fundamental and groundbreaking tools about given technology or open-source field.

You can also go play missions either single player or visit dungeons and temples in raids of five and thirty players respectively, where you level up by developing the existing opens source infrastructure of the city.

Create or elaborate on their common Altrupedia. From here you can design cities on the island by co-creating roadmaps and increase their abundance. Go to their wiki and sign up, edit pages, and create the solutions on Optimal Altruism with teams all over the world who share your passion.

Technology Tree towards Pandoraforming Earth and Beyond

To learn more about Optimal Altruism visit https://www.optimalaltruism.com/about-evolve/ or https://www.optimalaltruism.com/

It’s the year 2055 and what once was a toy rabbit awkwardly hopping on its own mechanical whim, is now jumping and running faster than a human. It can now, with fluid motion, jump over a large truck and continue its smooth stride. It’s not human enough to try out for the Olympics, however it has been recognized as the fastest techno-rabbit on the block and receives an award from the Guinness Book of A.I. achievements for furthest mecha-leaper. Chanting and cheers erupt from the audience as other animal mechanoids yield support for their ‘tricks aren’t for kids’ futuristic friend.

With advances in AGI (Artificial General Intelligence) climaxing and with the potential future singularity, how can we leverage the power of singularity with imperfect humanism. It may be that, we need to create a sense of forced fallibility within superintelligent systems by means of machine learning clauses, vital awareness, and ethical statutes.

For humans, our obvious vital source of energy comes from food, and conversely for most robots it’s electricity. We display different varying levels of energy and moods dependent upon what types foods and amounts we eat. Similarly with future superintelligent machines, electrical power adjustments and machine learning algorithmic clauses could determine a mood for a robot by increasing or decreasing throughput and processing speed in relation to their specific power levels. The hibernation of a system depleted of electricity and energy constraints could be analogous to a human nap.

Quantum battery discoveries show us the possibility of near perpetual energy, however perhaps this is the ultimate downside and scare towards integrating superintelligence fashioned by a bot. By utilizing neural networks containing vitals data, most importantly variable electricity levels, a superintelligent robot could be aware of its own varying power supply and increase or decrease its activities accordingly to its fixed energy capacity, and perhaps even its own throughput.

A.I. ethical commandments from an oversight committee could help humanity if the singularity ever occurs. By utilizing brute force fallibility measures into an A.I. systems, such that it learns and trains in accordance to our own imperfection sense, then maybe we can keep A.I. levels at somewhat of a stand still, with it not exponentially increasing above the calculations and throughput of the human brain.

Motor intelligence involves learning how to maneuver and coordinate a flexible body to solve tasks in a range of complex environments. Such attempts to control physically simulated humanoid bodies come from diverse fields, including computer animation and biomechanics. Recent trends involve hand-crafted objectives, sometimes with motion capture data, and to produce specific behaviors. However, this may require considerable engineering effort, and can result in restricted behaviors or behaviors that may be difficult to repurpose for new tasks.

Google’s Deepmind project exhibits how sophisticated behaviors can emerge from the body interacting with the environment using only simple high-level objectives, such as moving forward without falling. Specifically, Google has trained agents with a variety of simulated bodies to make progress across diverse terrains, which require jumping, turning and crouching. The results show the agents develop these complex skills without receiving specific instructions, an approach that can be applied to train their systems for multiple, distinct simulated bodies.

It’s a sultry 90 degrees outside and you’ve discovered your coffee is still warm after sitting 2 hours. To pass some time you decide to check some email on your laptop and browse some of your favorite websites. After your most recent gander of web advertisement glorification you notice something somewhat familiar with the last several websites you visited. The verdict is conclusive and you start to ponder: “Wow, I love the large cover image/video with scrolling hover elements, but could there be something more creative or different to capture my users attention?”. Web 2.0 has come and passed, what’s next when it comes to App development and responsive web?.

Some of our top leading development strategists and innovators including Elon Musk of SpaceX suggest that a lack of innovation will eventually lead to stagnation. Creativity and ingenuity are lead characteristics of humanity that closely follow suit with innovation and so we expect increasing evolutionary phases of transformation as the time pendulum swings.

So what’s the next phase of web development? Web 3.0, or the ‘intelligent web‘ could include semantic web, microformats, natural language search, Metaverse, data-mining, machine learning, recommendation agents, and artificial intelligence technologies.

It’s been stated that object oriented programming creates living, breathing, entities that have knowledge inside them and can remember things. While this archaic idea by Steve Jobs still has some validity today, how does this relate to the future of emerging trends such as machine learning, quantum computing, neural networks, and Artificial Intelligence? Will Web 3.0 standardize deep A.I. and machine learning to bring about a post-modern self-conscious web where communication is transmissible via our thoughts or dreams?

According to Susan Schneider, and in her recent book, Artificial You: AI and the Future of the Mind, she discusses a philosophical exploration of what A.I. can and cannot achieve. She also discusses the pros and cons of what mind design enhancements may look like with the potential of future machine-mind hybrids.

How do you see Web 3.0 changing and evolving? Contact us and let us know.

With strife and hardship among our populous brought forth from epidemics such as COVID-19 and other impeding diseases of the future, it’s imperative that web-based alert response systems handle the appropriate measures to sustain the load of their forthcoming citizens who are in need of help. Load balancing servers and indexing databases properly are just a few tricks of trade to handle massive amounts of concurrent users during a panic of online necessity. Proper integration of these services can make the difference in saving families and individuals in attentive need of support.

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Albert Hammond has been writing hit songs for over forty years. Albert achieved early success as an artist with his song “It Never Rains in Southern California,” and he has since built a multi-faceted career as an artist, songwriter and producer in both English-speaking and Latin markets.

It was important for Albert Hammond not only display his album music in an organized fashion, but to allow his visitors to transition the content into Spanish translation. We worked with his team and helped create a highly functional, bilingual site that puts emphasis on and facilitates his ongoing music career.

Heudia empowers hospitals, managed care organizations, and government agencies to better control cost and implement more effective value-based payment models.

This is accomplished through a technology-driven, subscription-based care model that utilizes data to identify the best opportunities to meaningfully intervene against a community’s most pressing population health challenges.

They achieve their mission by converting data into actionable information – empowering low-income individuals to seek care at the right place and time while educating them to become better healthcare consumers that cost less to care for.

This approach to population health builds on the industry’s investment in population health analytics and reduces complex methodologies that fail to engage high cost, high risk, and high need individuals who are typically hard-to-find.

You can discover more about Heudia by visiting their new site design by WCFM Design at www.heudia.com

The National Kidney Foundation of Maryland is dedicated to preventing kidney and urinary tract diseases, improving the health and well-being of individuals and families affected by these diseases and increasing the availability of all organs for transplantation.

It was vital for NKF of MD to integrate a smooth, seamless responsive site that can be viewed on both mobile and tablet platforms. With a robust payment gateway integration system, donors may send online donations with ease.

You can visit NKF of Maryland at https://www.kidneymd.org

Do you have a similar concept for your non-profit organization? Click here to get in contact with us.

Channeling is a process that allows energies from a higher source to use a human instrument to convey information. Channeling is different from other forms of psychic activity in that the information comes straight from the source to the seeker. There is no “middle man” interpreting or filtering the message.

Channeling is especially helpful to those who seek insight from an alternative source for everyday challenges. Individuals receive information on very practical matters, such as career choice, interpersonal relationships, health, goals and finances. Additionally, questions concerning the spiritual realm are also answered through channeling. These can include past life experiences, messages from spirit guides and departed loved ones, karmic lessons and spiritual missions.

Susan Q. Driscoll, M.A., is a practicing intuitive channel, counselor and teacher. Susan holds a master’s degree in counseling psychology and has worked in both agency and academic environments.

After many years of metaphysical searching and study, Susan began working with “Martin” energy in 1995. She conducts group and private channeling sessions, specializing in Akashic (past life) readings and life transition issues.

Check out her website here.

Website credits: Ann Bevans and Justin Crawford

RangeCraft Manufacturing is well known by discerning buyers for its popular product line of Made-To-Order range hoods. Skilled artisans, trained by Master Coppersmiths, create every custom designed range hood, one at a time.

It was vital for RangeCraft to not only give their existing brochure a new facelift, but to also emphasize their core products around key content. In order to accomplish this, layouts are trialed and tested, and run through a series of design processes that ultimately result in a polished, final catalog like the one below.

Need a Catalog created for your business? Contact us by filling out our online quote form.