Category Archives: Singularity

Youve probably heard of black holes existing in the universe and may even have studied the phenomena in a high school science class. According to NASA, scientists speculate that they can range in size from a mere atom to supermassive ones the size of a million suns combined.

While countless artists have used their imaginations to depict these mysterious objects, you might be surprised to find out that, in spite of the size of some of them, they cannot be seen with either the naked eye or with the most powerful telescopes. How can something potentially so massive hide so well? To understand this, we must learn about what black holes are and how they are formed.

Elena11/Shutterstock

Britannica states that a black hole is a cosmic body of gravity that is so strong nothing can escape from it not even rays of light. For a black hole to form, a massive star needs to collapse on itself. When stars age, they will grow in mass until the center can no longer support the body. Upon collapsing, the star will explode into a supernova, sending the outermost layers hurling into space. The remaining bulk of the star caves in on itself, crushing and compressing the star into an object with zero volume and infinite density. This object is what is known as a black hole.

A black hole consists of two parts: the event horizon and the singularity. The event horizon is the perimeter outside of the black hole itself, which is known as the point of no return. Crossing the event horizon means that you would need an escape velocity stronger than that of the speed of light in order to move away from the black hole. As nothing we know of has a velocity greater than light, nothing we know could ever escape from a black hole when it gets too close.

The event horizon forms a radius around the black hole that is called the Schwarzschild radius. Named after famed German astronomer Karl Schwarzschild, this radius is calculated by determining the mass of the object that collapsed to make the black hole. Schwarzschild surmised large collapsed stars that should be emitting radiation would not, as this radiation would have been pulled into the black hole.

The singularity is the center of the black hole itself. As light cannot escape, it means that a black hole cannot be technically seen in the traditional sense. So how do we know that they exist?

Scientists will detect, rather than see, black holes. This is done in several ways. By observing how stars are reacting, scientists can determine if they are orbiting a black hole assuming there is high-energy light being emitted from the star (via NASA). The extraordinarily high amount of gravitational pull on nearby objects creates observable behavior, as well, giving observers a good notion that these objects are being affected by a black hole.

Cool Cosmos further explains that this force of gravity from the black hole will cause gases to be sucked closer to it, creating a gaseous disc that will rapidly rotate around it. When the disc rotates at a certain speed, the gas molecules will become very hot and emit X-rays. These X-rays can be seen here on Earth by the scientists who observe the night sky.

Only the most massive stars will ever become black holes. Small and medium-sized stars do not have the potential mass to trigger the powerful collapse necessary to begin the chain reaction to form a black hole. Stars that lack this mass will eventually begin to die and become white dwarfs or neutron stars.

Worried that our sun will collapse upon itself and suck all life on Earth into a black hole? Dont be. Our sun is a medium-sized star and wouldnt have the necessary mass to become a black hole. Its also worth mentioning that even if our sun could become a black hole, we wouldnt be alive to witness it. Long before a star dies, it swells with mass and heat, the result of which would scorch our planet of all life long before it collapsed.

Link:

What Are Black Holes and How Do They Form? - SlashGear

Janet Adams, chief operating officer ofSingularityNET, explains why a new robot nurse could bring us one step closer to achieving technological singularity.

A new humanoid robot designed by Awakening Health, a joint venture between SingularityNET and Hanson Robotics, promises to revolutionise healthcare and provide care and companionship for elderly patients.

Aptly named Grace, our robot nurse combines the precision of advanced robotics for processing and gathering accurate data in real time, with the empathy and compassion that, traditionally, only the human touch can offer. She can recognise and respond to seven human emotions, speaks fluent English and Korean, and can mirror her interlocutors facial expressions. In some meaningful ways, she is the most empathetic humanoids ever created.

Grace has been designed as a companion for elderly patients in care facilities. Her main function is relieving loneliness and improving the patients mental health by interacting with them and providing a variety of uplifting activities, such as talking therapies and guided meditation. For example, she can listen to senior citizens life stories, record them, and report them back to others, or she can help patients get in touch with their families digitally.

Grace can also perform basic health checks like monitoring a patients temperature, pulse and blood pressure, and relay this back to their healthcare provider. Her advanced AI systems will also assist doctors and nurses in making more accurate diagnoses, for what concerns neurodegenerative disease.

Why a robotic medical assistant?

In 2019, Age UK reported that one in eleven NHS posts were vacant and 5.5 billion was spent on temporary staff to cover vacancies and other short-term absences in 2017/18. They also reported that the lack of preventive care was leading to more elderly patients requiring A&E services. Emergency admissions from care homes increased by 62% from 2010/11 to 2016/17, and emergency readmissions to hospital within 30 days of discharge for all patients rose 22% between 2013/14 and 2017/18.

This data is not just pertinent to the UK a similar spike in demand for elder care has been reported worldwide. And since 2019, the situation has only worsened.

The COVID-19 pandemic has shown us that healthcare professionals are often overworked, while patients suffer because of isolation. While scientific advances are helping fight COVID-19, broader issues with the healthcare system are not going away any time soon.

New needs call for new solutions, and AI and robotics have enormous potential to transform the medical arena for the better. While AIs like Grace wont replace a patients family or the skills of trained medical professionals, they can massively contribute to the patients psychophysical wellbeing.

One step closer to singularity

The majority of AI research has focused on solving domain-dependent, highly specific tasks; robots like Grace, on the other hand, are built with artificial general intelligence (AGI) in mind. AGIs goal is that of building systems with intelligence comparable and ultimately superior to that of the human mind the grand dream of the forefathers of AI.

The achievement of true AGI will usher humanity in the age technological singularity, a point in time when AI entities will eventually achieve greater independence from the initial dataset theyve been trained with, giving life to a new form of super-intelligence that transcends that of humans.

While Grace is still far from being an independent, thinking being, she marks a meaningful step in this direction. Compared to big sister Sophia, Hanson Robotics most famous humanoid, Grace has reached a more advanced degree of autonomy and shows an increased ability for generalisation beyond the data she has been trained with. This allows her to interact in situations for which she hasnt been prepared and to respond to a variety of scenarios just like a human would.

Graces hardware and lower-level operating software is based on the same Hanson Robotics platform as Sophia. However, Sophia is intended to carry out a wide variety of different interactions, whereas Grace is specifically focused on healthcare. Her relatively specialised focus has allowed us to take a different approach to her software, which incorporates some more sophisticated AI tools that have been more straightforward to implement inhernarrower realm.

Graces software leverages the OpenCog AI systems in more advanced ways than Sophias occasional use of OpenCog, using subtle interoperation between OpenCog and a variety of neural vision and language models. This different software architecture means Grace carries out some different sorts of reasoning and perception than Sophia currently does.

However, both Grace and Sophia are rapidly evolving systems. The plan is to upgrade Grace to the new OpenCog Hyperon system in late 2022 or early 2023, which should be a major step toward general intelligence.

Meanwhile, SingularityNET and Hanson Robotics are launching aSophia-themed AR/VR metaverse project, which is adapting the software underlying Grace for Sophia in both her robot and avatar forms, as part ofaninitiative tohaveSophia to run a broad variety of AI systems in the metaverse.

A friend here to stay

In the future, robots will increasingly play a role in our everyday lives, as part of the ongoing advance and penetration of AI. Within a decade or two, AI will be as ambient in our everyday lives as electrical power with a subtle mix of AGI and narrow AI systems helping us out in every aspect of our daily routines, including healthcare.

Humanoid robots will play an important role where deep emotional connection is needed, but the overall activity of the AI matrix will go beyond any hardware device or interface. To guarantee that these new powerful minds will benefit society at large, it will be crucial to ensure that they are controlled and guided in a democratic and decentralised way, rather than by a single government or corporation.

This is the core goal of SingularityNET using blockchain to create a decentralised infrastructure for global AI systems, including the ones running on humanoid robots. This will allow us to fulfil the grand AI dream and create access to benevolent, compassionate AI entities for everyone.

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Can a robot nurse bring us closer to the original AI dream? - Med-Tech Innovation

Water is vital for life on Earth, and some experts say we should all drink around two liters every day as part of a healthy lifestyle. But beyond the tap, where does our water come from?

It flows from local rivers, reservoirs, and aquifers. But where has that water originated from? Over geological time, Earth cycles water through living organisms, the atmosphere, rivers, oceans, the rocks beneath our feet, and even through the planets deep interior.

But what about before that? Where did Earth get its water in the first place? Scientists have long searched for answers to this question.

We studied tiny pieces of an asteroid to find out, and we think a rain of protons from the sun may be producing water all the time on rocks and dust throughout the solar system. In fact, up to half of Earths water may have been produced this way and arrived here with falling space dust.

We know Earths water likely came from outer space early in our solar systems history. So, what was the primordial delivery service that gave Earth its water?

Water-rich asteroids are currently the best candidates for the delivery of water, as well as carbon-hydrogen compounds, which together make possible our beautiful habitable blue planet teeming with life.

However, water from asteroids contains a specific ratio of ordinary hydrogen to a heavier kind, or isotope, called deuterium. If all of Earths water were from asteroids, we would expect it to have this same ratio. But Earth water has less deuterium, so there must also be some other source of water in space with less deuterium.

However, the only thing we know of in the solar system with lots of hydrogen but a lower ratio of deuterium than Earth is the sun itself. This puts us in a bit of a pickle, as its hard to see how the hydrogen in Earths water could have come from the sun.

Excitingly, we might finally have an answer to this conundrum.

Back in 2011, the Japanese Space Agency (JAXA) sent the Hayabusa mission to take samples of the asteroid Itokawa and bring them back to Earth. In 2017, we were lucky enough to be allocated three extremely rare mineral particles from the sample, each about the width of a human hair.

Our aim was to study the outer surfaces of these dust particles in a brand new way to see if they have been affected by space weathering. This is a combination of processes which are known to affect all surfaces exposed in space, such as harmful galactic cosmic rays, micrometeorite impacts, solar radiation, and solar wind.

We worked in a huge team involving experts from three continents, using a relatively new technique called atom probe tomography which analyzes tiny samples at an atomic level. This let us measure the abundance and positions of individual atoms and molecules in 3D.

Near the surface of the Itokawa particles, we found a layer rich in hydroxide molecules (OH, containing one oxygen atom and one hydrogen) and, more importantly, water (HO, containing two hydrogen atoms and one oxygen).

This discovery of water was very unexpected! By everything we knew, these minerals from the asteroid should have been as dry as a bone.

The most likely source of the hydrogen atoms required to form this water layer is the solar wind: hydrogen ions (atoms with a missing electron) streaming through space from the sun, then lodging in the surfaces of the dust particles.

We tested this theory in the lab by firing heavy hydrogen ions (deuterium) to simulate those in the solar wind at minerals like those in asteroids, and found that these ions react with the mineral particles and steal oxygen atoms to produce hydroxide and water.

Water created by the solar wind represents a previously unconsidered reservoir in our solar system. And whats more, every airless world or lump of rock across the galaxy could be home to a slowly renewed water resource powered by their suns.

This is fantastic news for future human space exploration. This life-giving water resource could potentially also be split into hydrogen and oxygen to make rocket fuel.

So how does this revelation relate to the origin of Earths water?

When Earth and its oceans were forming, the solar system was teeming with objects from kilometer-wide asteroids to micrometer-scale dust particles. These objects have been falling onto our planet (and others) ever since.

Scaling up from our small space-weathered grain, we estimated that a cubic meter of asteroid dust could contain as much as 20 liters of water. So with all the space dust that has fallen to Earth over the eons, a lot of water from the sun (with less deuterium) would have arrived alongside the heavier water from larger asteroids.

We calculated that around a 50:50 mix of water-rich dust and asteroids would be a perfect match for the isotopic composition of Earths water.

So, while sipping your next glass of water, ponder the curious thought that Earth derived up to half its water from the sun.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Image Credit: NASA Jet Propulsion Laboratory

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Up to Half of Earth's Water May Come From Solar Wind and Space Dust - Singularity Hub

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Recognition Highlights Global Enterprise Adoption of Singularity XDR Platform

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--SentinelOne (NYSE: S), an autonomous cybersecurity platform company, today announced the company has received the highest overall rating in the Gartner Peer Insights Voice of the Customer for Endpoint Protection Platforms1. According to the report, 97% of reviewers are willing to recommend the SentinelOne Singularity XDR Platform, which the company believes is a testament to its commitment and execution in delivering an AI-powered platform to secure the enterprise.

As of today, on Gartner Peer Insights for Endpoint Protection Platforms, SentinelOne has a 4.9 on a scale of 1 to 5 rating based on 775 reviews. In the Gartner Peer Insights Voice of the Customer: Endpoint Protection Platforms report, SentinelOne received the highest overall rating of 4.8, alongside two other vendors, based on 238 reviews as of Aug 2021. Out of the 18 vendors in the report, SentinelOne received the Customers Choice rating across the Large Enterprise (1B-10B USD), Midsize Enterprise (50M-1B USD), as well as Public Sector, Government, and Education categories. SentinelOne also received the Customers Choice rating for North America, EMEA, and Latin America. In addition, SentinelOne received a Strong Perform designation for Asia Pacific. We believe these ratings and designations illustrate global enterprise adoption and customer satisfaction with the Singularity XDR platform.

Proactively securing the modern enterprise from ransomware and cyberattacks requires autonomous technology and constant innovation, said Daniel Bernard, CMO, SentinelOne. We believe our customers ratings in the Voice of the Customer Report for Endpoint Protection Platforms validates our commitment to making the world a safer place. Our Singularity XDR platform leverages the power of behavioural AI to automate cybersecurity, minimize risk, and empower their business to securely grow.

With excellent scores across EDR, EPP, and MDR in Gartner Peer Reviews, SentinelOne continues to deliver best-in-class customer satisfaction to its global customer base of leading enterprises. In addition to being named a Voice of the Customer recipient for Endpoint Protection Platforms, SentinelOne was named a Leader in the 2021 Gartner Magic Quadrant for Endpoint Protection Platforms2, and received the highest scores in all three use cases (Type A, B, & C) in the 2021 Gartner Critical Capabilities for Endpoint Protection Platforms report.

Gartner Peer Insights documents customer experience through verified ratings and peer reviews from enterprise IT professionals. As of December 1, 2021, SentinelOne reviews include the following:

Best Endpoint Solution I Have Ever Used And They Keep Making It Better. Since deployment we have discovered what we were missing with our previous endpoint solution. We now have greater visibility into not just the endpoint but the subnet on which the endpoint resides. We have found rogue devices lurking on our network, application vulnerabilities we had not seen before, overall this has been the most positive security change we have made since SIEM. -- Security Administrator, Finance [read full review]

Amazing And Extremely Effective EDR/XDR Solution With Extremely Easy To Use Interface. Outstanding ability to deliver enhancements and features that make the product and functionality very relevant in today's fast evolving threat landscape where majority of end points are beyond the perimeter." -- Sr. Infosec Engineer, Retail [read full review]

When It Comes To Endpoint Security, Sentinelone Is The Way To Go. SentinelOne is the first product I have used that has given me peace of mind. I don't worry about outbreaks like I used to." -- CIO, Gov't/PS/ED [read full review]

"Gold-Standard EDR/XDR Best In The Industry. Two words describe SentinelOne "Customer Satisfaction"!! Whether you are a large corporation or small medium enterprise (SME), SentinelOne treats their customers and potential customers with best-in-class support. The evaluation of the Singularity Platform performed optimally on our legacy systems and as well as new systems. SentinelOne provides our security operations team the ability to perform threat hunting activities easily. Highly recommend the SentinelOne Vigilance Respond Pro services offered by SentinelOne." -- Cybersecurity Leader, Services [read full review]

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartners research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner Peer Insights Customers Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates

About SentinelOne

SentinelOnes cybersecurity solution encompasses AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous platform.

1 Gartner, Gartner Peer Insights Voice of the Customer: Endpoint Protection Platforms, 25 November 2021.

2 Gartner, Magic Quadrant for Endpoint Protection Platforms, Paul Webber, Peter Firstbrook, Rob Smith, Mark Harris, Prateek Bhajanka, 5 May 2021.

View source version on businesswire.com: https://www.businesswire.com/news/home/20211201005631/en/

PressMaryellen Sartorifama PR for SentinelOneE: S1@famapr.com

Source: SentinelOne

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SentinelOne Receives Highest Overall Rating in the 2021 Gartner 'Voice of the Customer' Report for Endpoint Protection Platforms - StreetInsider.com

There are any number of amazements in Essays Two. Some involve deep dives into a writer, others brief, bracing immersions. There are seven separate engagements with Proust, essays approaching the authors work from different directions but all centered on Daviss translating of Swanns Way. We learn, for example, that Davis first read Proust 25 years before she began her translation, and at the time she didnt, or wasnt able to, finish reading even that volume, the first of Prousts seven-volume novel. Rather, she read the final third only as she translated it an idea that for many of us might seem counterintuitive: Mustnt one have first read a book to translate it? Daviss experience flips the idea: How can one read a book if one isnt first translating it?

What is hard to determine, Davis writes, is what sort of influence reading Proust for the first time had had on me as a young writer. In Hammers and Hoofbeats, an essay that made my brains jaw drop as I read it, Prousts influence on Davis materializes as she thinks through, or imagines, the sounds Proust would have heard as a child:

The sounds in the city (either in his parents apartment or in his uncles house in Auteuil), outdoors: birds warbling and chirping in the garden, voices in the garden calling and shouting, laughing, occasionally singing, sung music and instrumental music; his own piano lessons and practice, and his brother Roberts; musical instruments being practiced in different apartments in the neighborhood; voices practicing scales and songs and arias (some of the same sounds that you hear now in a bourgeois neighborhood, and that you hear in Hitchcocks Rear Window); people calling their pets; dogs barking I dont know what the laws were then regulating pets or other animals roaming free in the streets, about 1885; cats meowing or caterwauling in the middle of the night; people whistling; footsteps on sidewalks; tradesmen calling their wares through the streets; horses hoofbeats, trotting and walking; carriage wheels rattling on cobblestone and grinding over dust and dirt over stone (i.e., the steady sound of wheels under the regular rhythm of the hoofbeats either pacing or trotting); in the carriage, the creaking of the wood and leather along with the hoofbeats and wheels.

This 187-word sentence is a list, grammatically a sentence fragment, one constituted of 14 dependent clauses that evoke the fragmentary nature of sensation, offering a sonic portrait of a provincial past. Not in 14 lifetimes would it have occurred to me to imagine what Proust (or any writer) would have heard in childhood, but Daviss attention to the idea puts the reader into different proximity to what translation does and what writing as a practice demands and too frequently overlooks: an osmotic awareness of the world, a quality of vision and audition that a writer transfigures into a sequence of not words sound. The yield of that attention is delivered in Daviss subsequent, grammatically ironclad, sentence:

Carillons from churches; church bells sounding the hours, tolling for deaths, clamoring for weddings: Think of Prousts description of the tears he continues to shed inside himself even now that he is an adult: They are, he says, like those convent bells covered so well by the clamor of the town during the day that one would think they had ceased altogether but which begin sounding again in the silence of the evening.

The alliterative cs that run through Daviss phrases and carry over into Prousts; the ow that rings five times, from Daviss sounding to Prousts: Daviss and Prousts sonics marry at the second colon, Daviss exquisite tolling for deaths, clamoring for weddings performing the loss and gain of life and memory bells so greedily alive they demand not death but joy. Here we find an answer to Daviss question of influence, Davis not sounding like Proust but thinking, unintimidated, collegially, with him.

Engagements like these populate Essays Two, making a reader want to return to reading, not to say living, with a different, Davislike (ugly word for beautiful idea) attention. The most surprising such acts of attention in the collection, and the most illuminating of the practice of translation to the monoglot, are conceptually the least promising. I do certain things backward, she tells us, a claim that certainly applies to her learning Spanish by reading The Adventures of Tom Sawyer in Spanish translation and then translating the Spanish into English and then comparing her translation of it with Twains original, not to see what is lost in translation but gained through its practice: in part, a more precise sense of Twains singularity.

There are also Daviss accounts of translating English books into English Laurence Sternes A Sentimental Journey Through France and Italy (1768); the childrens book Bob, Son of Battle (1898) older Englishes into contemporary English, an effectively foreign language into a domestic one, what all translation ultimately, inevitably, entails. Other essays have Davis learning Dutch and Norwegian, documents of ingenuity and curiosity that make the reader while reading them, at least think: I could, no, should, do that too. That one wont hardly matters. Mystically, the essays make one feel one has.

The final essay in the collection, The City of Arles, is the seeming outlier, about Daviss time in and research on the French city of Arles. Davis calls the piece notes the word comes from Latin, where it meant a mark and composes it as a series of discrete stories with names (A Single Sheep and a Doorway; The Mosquitoes of Arles). The essay is an attempt, through attention, to transmogrify a city into a substance, to seek the words that might as Daviss body of work, through time, continues to do translate the hidden marks in which the world is written.

The rest is here:

In Lydia Daviss Work, Writing and Translating Provocatively Commingle - The New York Times

The Coming AI Singularity in 2050: How to Survive and Thrive in the Trans-Human Era

Artificial intelligence was coined in the summer of 1956. Most experts are confident that singularity will happen sooner in the future rather than later.

Artificial intelligence(AI) has become a technological reality for businesses and organizations across industries. Even if its benefits may not be always easy to quantify, AI has proven itself capable of improving process efficiency, reducing human errors and labor, and extracting insights from big data.

Scientists are still unable to reach technological singularity to surpass human intelligence with a view to outsmart, outperform or outdo it.

Reaching singularity could be a defining moment for humanity when machines reach a level of intelligence that exceeds that of humans. This topicis quite divisive amongst leading innovators such as Stephen HawkingandElon Musk, who fear the dark side of artificial intelligence.

As of now, we have billions of general natural intelligence systems, like human beings, who managed to create all sorts of global risks and planetary threats to humanity.

What the world needs is an ethical artificial intelligence that can read, speak, hold a conversation, read emotions and make our planet a better place.

Experts predict thatartificial general intelligence(AGI) will peak by 20402050.

Vernor Vinge introduced the term Technological Singularity in his Marooned in Realtime(1986) and later developed the concept in the Coming Technological Singularity (1993).

His definition of Singularity is known asthe event horizon thesissaying that trans or post-human minds will imply a weirder future than we can imagine:

"Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will end. [...] I think it's fair to call this event a singularity. It is a point where our models must be discarded and a new reality rules. As we move closer and closer to this point, it will loom vaster and vaster over human affairs till the notion becomes a commonplace. Yet when it finally happens it may still be a great surprise and a great unknown."

The acceleration of technological progress has been the central feature of this century. We are on the edge of change comparable to the rise of human life on Earth.

The precise cause of this change is the imminent creation by technology of entities with greater intelligence than human intelligence. There are several means by which science may achieve this breakthrough (and this is another reason for having confidence that the event will occur):

Artificial intelligence is changing human civilization, from howwe work tohow we travel tohow we enforce laws, but reaching singularity could destroy millions of jobs.

Considerable problems of bias and neutrality aside, one of the most significant challenges facing AI researchers is how to give neural networks the kind of decision-making and rationalization skills we learn as children.

The geo-political landscape won't be the same again. China is currently leading the AI race. Artificial intelligence is the future of military supremacy. It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world.

A Composite AI, according to Gartner's 2020 Hype Cycle for Emerging Technologies, is the "combination of different AI techniques to achieve the best result.

We are very close to a tipping point at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable changes to human civilization.

The only way to survive and thrive in the trans-human era of singularity is to collaborate with artificial intelligence.

Dramatic changes in the rate of economic growth have occurred in the past because of technological advancement.

Based on population growth, the economy doubled every 250,000 years from thePaleolithicera until theNeolithic Revolution.

The new agricultural economy doubled every 900 years, a remarkable increase. In the current era, beginning with the Industrial Revolution, the world's economic output doubles every fifteen years, sixty times faster than during the agricultural era.

If the rise of superhuman intelligence causes a similar revolution, argues Robin Hanson, one would expect the economy to double at least quarterly and possibly on a weekly basis.

Scientists expect that widespread automation driven by artificial intelligence will displace workers across many industries. Even if the effects of automation are exaggerated, it is clear that the labor market will need to adjust.

Employees shouldnt cower in fear of being rendered obsolete. They should use these emerging innovations as motivation to determine which industries are at the highest risk of automation, and proactively take steps to improve their job security by continuing to develop new skills or by exploring opportunities in other industries.

The rise of singularity could unintentionally magnify the importance of the arts, as creating quality works of art, music, film, and television are still a uniquely human domain.

Workers that are already in positions at high risk of becoming automated could of course look into management or sales department opportunities at their companies that require more interpersonal skills that artificial intelligence is still years away from replicating.

Be ready to upskill where possible. There is also a possibility of a trans-huma era, where humans will have to merge with machines in order to survive.As with every big change, the way to survive the AI revolution is to embrace the partnership.

Artificial intelligence will need to go through heavy regulatory scrutiny before singularity and commercial artificial general artificial approval move forward. Humans should not fear singularity.The nature of the human race is that we will always strive towards the next advancement. Resisting change out of fear of its disadvantages may work in the short term but will only make you more likely to be left behind in the future. It's time to embrace artificial intelligence and know more about the technology to prevent its dark side. Artificial intelligence will increasingly become a part of society. Instead of workers fearing AI, they can look at new possibilities to explore. Artificial intelligence could go rogue if it's developed by the wrong companies, but if regulated with a purpose and vision of working together with humans, it could change the future of humanity.Theartificial intelligence revolutionis indeed underway.

Continued here:

The Coming AI Singularity in 2050: How to Survive and Thrive in the Trans-Human Era - BBN Times

Yandex's machine intelligence division head Alexander Krainov and a Promobot assistant robot. (Photo ... [+] by Mikhail TereshchenkoTASS via Getty Images)

I have no idea whats taking so long.There are all kinds of areas where machines perform better than humans and lots more in the queue if we only gave thema chance to show us what they can do.Why are we so scared of smartmachines?Why arent we screaming to be replaced?Or do we likedoing taxes, buying insurance, misdiagnosing, losing and filing everything? Or is it ultimately about the jobs that will be eliminated?

Lets Stipulate

First, lets stipulate that not all problems can be solved with AI and machine learning, though the line is blurring more every day.But lets also stipulate that problems that are repetitious in well-bounded areas are tailor made for automation.As an example,income taxes are a perfect candidate:

Machine learning (ML) is killing all sorts of processes and entire business models.Areas like tax planning, preparation, reporting and documentation that are well-bounded and deductive what those in AI call narrow AI are ready for supervised machine learning.Whats taking so long?Everythings already digital.Your personal taxes require preparation, submission and calculation, all pretty easy for smart machines (that dont need to be all that smart to do your taxes).

Help Wanted

INCHEON AIRPORT, SEOUL, SOUTH KOREA - 2018/06/12: A young girl communicating with a robot. (Photo ... [+] by Jonas Gratzer/LightRocket via Getty Images)

So what can machines do better than humans?

Healthcare is ready and able, but not so willing.How about this?

Researchers at an Oxford hospital have developed artificial intelligence (AI) that can diagnose scans for heart disease and lung cancer.The systems will save billions of pounds by enabling the diseases to be picked up much earlier.The heart disease technology will start to be available to NHS hospitals for free this summer.The government's healthcare tsar, Sir John Bell, has told BBC News that AI could save the NHS.

Or this?

Technology developed using artificial intelligence (AI) could identify people at high risk of a fatal heart attack at least five years before it strikes, according to new research funded by the British Heart Foundation (BHF).The findings are being presented at the European Society of Cardiology (ESC) Congress in Paris and published in theEuropean Heart Journal.

Theres so much more here like medical imaging, diagnosis, drug discovery platforms, radiation treatment and genomics, among many other areas.Humans should select and deploy the ones with the greatest impact and lowest cost now.

The legal profession?

Twenty US-trained lawyers, with decades of legal experience ranging from law firms to corporations, were asked to issue-spot legal issues in five standard NDAs. They competed against a LawGeex AI system that has been developed for three years and trained on tens of thousands of contracts.The research was conducted with input from academics, data scientists, and legal and machine-learning experts, and was overseen by an independent consultant and lawyer ... following extensive testing, the LawGeex Artificial Intelligence achieved an average 94% accuracy rate, ahead of the lawyers who achieved an average rate of 85%.

Finance?

A research team from the University of Erlangen-Nuremberg in Germany has developeda number of algorithms that use historical data from markets to replicate real-time investments.One of the modelsallowedfor a 73% return on investment annually from 1992 to 2015, taking into account transaction costs. This compares with a real market return of 9% per year.Profits were particularly high during the market shocks of 2000 (a 545% yield) and 2008 (a 681% yield), which proved the increased efficiency of quantitative algorithms during periods of high volatility, when emotions dominate the markets.

War?

Well, we already know that drones are often the weapons of choice in many situations.We also know that robots are being groomed to replace human soldiers. Tacticians and strategists will be automated. You name it.

Others tasks?

How about the menial tasks, like those conducted by CSRs, data entry, reading, translation, phone management, manufacturing, retail, security, employee onboarding and all forms of transportation(note that theLos Angeles Times predictsthat self-driving trucks could replace1.7 million American truckersin thenext ten years).Its not likely but necessary that machines solve our expertise and employment problems.

Why & Why Not?

Human Hand And Robot Making Fist Bump On Gray Background

In many areas not every area machines are smarter than humans.Theyre also cost-effective and they dont talk back or take vacations and theyre fine with danger.Mostly good, right?(We should argue the ethics around autonomous weaponry all day because drones can miss their targets.).

So, whats wrong?Whats slowing all this down?When we look at performance data where machines clearly outperform humans, we must wonder why deployment has been so slow, even avoided.As I argued in the tax filing example, theres a multi-billion-dollar tax preparation industry that stands in the way of the automation that many countries already enjoy.There are also legitimate testing and validation reasons for cautious deployment, as well as legal issues, such as liability when autonomous vehicles malfunction.But perhaps the biggest problem is found in the title of this post:were not nearly as desperate for help as we should be, and were not obsessed about how to replace ourselves with machines that are smarter, faster, cheaper and better than we are.Instead, were worried and threatened.But in time the machines will win. We all know this.

Postscript:The Singularity

Artificial intelligence concept of big data or cyber security. 3D illustration

What about all the fuss about the singularity (which is defined loosely as follows)?

Thetechnological singularity or simply thesingularity is ahypotheticalpoint in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable changes to human civilization.According to the most popular version of the singularity hypothesis, calledintelligence explosion, an upgradableintelligent agentwill eventually enter a runaway reaction of self-improvement cycles, each new and more intelligent generation appearing more and more rapidly, causing an explosion in intelligence and resulting in a powerfulsuperintelligencethat qualitatively far surpasses allhuman intelligence.

Predictions about the arrival of this event vary, of course, but I have another perspective, which essentially welcomes super-intelligence into our worlds.Is it horrific and threatening when the best doctors are machines, or when machines provide universal healthcare (in the US), or when drug discoveries and genomic research are enabled by machines?Of course, these machines can be abused, but if the singularitists are right then the machines will self-correct as superior intellects will do and avoid some of the major disasters that have plagued humans for centuries.Without getting overly philosophical, why shouldnt humans welcome and partner with expanded intelligence regardless of its form?Especially when, according to subscribers of the singularity, we have no choice.So until the machine intelligence explosion occurs, perhaps we should worry more about the explosions that have killed millions of humans over the years and look to smart machines to help us live longer and better lives.If they can free us from tedium, help us stay healthier and propel us toward a safer future, I dont think we should fear them at least until they become as lethal as the intelligence we face today.

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Why We Need Machines To Help Us Perform & Where Humans Should Be Replaced ASAP The Singularity, Be Damned. - Forbes

Beautiful Machines re-introduce themselves with 'Control'.

The award-wining project have completed a system reboot, with incoming album 'Singularity' set to become a cross-discipline experience.

Gazing into the future, the pair's synth-enabled alt-pop is like mainlining a William Gibson novel, absorbing new ideas at every turn.

'Control' kicks off this new chapter, and it plays with notions of what is truly 'human' in a landscape so dominated by technology.

An invitation to wake up and begin living in the future, 'Control' is a rollercoaster journey inspired by Fritz Lang's seminal work of cinematic futurism Metropolis.

Beautiful Machines comment...

"We now live in a world, ever increasing in our reliance and connection with technology, which is advancing at break-neck pace, such that life becomes blurred as to what is really driving our motivations. Is it the multi-faceted algorithms and AI code which drive our 'human' behaviour? Are we even in control or have we already lost control? These drivers become the gateway to further our merge between man and machine; arguably we have already breached that threshold. 'Control' is an invitation to a future in the making, as we quietly relinquish control."

Tune in now.

- - -

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Beautiful Machines Gaze Into The Future With 'Control' - Clash Magazine

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Ronnie Raymond is back! Robbie Amell, who played half of the original Firestorm, is making a guest appearance on Season 8 of The Flash. While details of his return to the Arrowverse are locked away somewhere in the Speed Force, Entertainment Weekly is reporting that Amell will appear in two episodes of the superhero series current season, starting with Episode 11.

Amells character Ronnie was introduced in the first season of The Flash as the fianc of Caitlin Snow (Danielle Panabaker) and a structural engineer for the S.T.A.R. Labs particle accelerator. Ronnie disappeared the night of the particle accelerator explosion and was originally thought to be dead. However, the team learned that the accident didnt in fact kill him but instead fused him and Martin Stein (Victor Garber), creating the metahuman Firestorm.

Sadly, this did not mean that he and Caitlin got to live happily ever after. Ronnie died saving Central City from a giant wormhole (otherwise known as The Singularity) in the Season 1 finale. Amells last appearance in the role was in the Season 3 episode "Into the Speed Force," when said abstract power source appeared to Barry Allen (Grant Gustin) in the form of Ronnie.

Amells Ronnie is another former Flash cast member set to appear on the hit superhero series from The CW. In October, it was confirmed that Rick Cosnett, a series regular on The Flashs first season as Detective Eddie Thawne and fianc to Iris West (Candice Patton), would be back for the shows eighth season. (Huh. Lot of dead fiancs coming back. Wonder if thats just a coincidence or if that means anything more substantial?)

But not so fast, Amell fans. Were still a long way to go before Episode 11. The Flash is still in the middle of its five-part Armageddon arc which is loaded with its own batch of crossover guest stars, after which the series will go on hiatus until March. If you're jonesing for more Amell, guess youll all just have to watch him in Resident Evil: Raccoon City to tide you over in the meantime.

The current Armageddon crossover event is giving Barry the opportunity to fight alongside such other DC heroes as Batwoman (Javicia Leslie) and Black Lightning (Cress Williams, whose solo series ended in May).

"Armageddon, Part 3" airs tonight (Nov. 30) at 8 p.m. EST on The CW. Click here for our official ranking of all the Arrowverse crossover events thus far.

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Is there a new Firestorm brewing? Robbie Amell to return for 2 episodes of 'The Flash' Season 8 - SYFY WIRE

We are only a couple of months out of the CDL 2022 season starting. Now, there are discussions starting in order to figure out which CDL rookie will make the most noise. This comes from the starting teams and lineups for each team in the league.

This CDL Rookie is currently on the Florida Mutineers. Davpadie is looking to prove people right as David Maslowski has had short stints with teams like Triumph, UYU, Fantastic Four, and Team Canada.

This rookie is showing why Florida made a good pick up as they, so far, have made two runners-up finishes. This team, along with Davpadie could prove to be a dark horse to have a shot at the World Championship. If Davpadie lives up to the hype, it could very well happen along with being Rookie of the Year.

Another player who can light up the league as a rookie is Nastie, a player for the London Royal Ravens. He previously played with the team until he got loaned out to Connect 4 and then was let go to go to the team Orgless. After being a part of the league for so long and being so great in EU challengers. He could be the new spark that the team needs to win at a high level and for him to be the Rookie of the Year.

By far the most unproven of the two rookies on the London Royal Ravens is Gismo. At only 19 years of age, Gismo has lit up the challengers scene as he has had recent success from playing with teams like Team Singularity, House Tarth, Orgless, and the Atlas Lions. As he is the most technically gifted of the rookies.

He is a highly aggressive and fast player. He has the ability to get out of hairy situations to make a play and win for the team in key gunfights. If he has a great year, could he be rookie of the year?

The Australian to prove everyone wrong is Pred, a player on the Seattle Surge. He dominated the Asia-Pacific Call of Duty scene as he has won multiple championships in his already prestigious career. With his style of play and gun skill, Pred could be the rookie of the year and quite possibly show that the Asian-Pacific region has great COD players.

The player with the rawest talent of the five. He has already played for FaZes academy team as well as playing for top-tier challengers teams. This player has the mind to be one of the best players in the league. He is looking to turn the Surge around to being a powerhouse along with fellow rookie in Pred.

The one thing to worry about is his attitude problem, as many former teammates say he has. However, over the past couple of weeks of the new season, he is proving to be the leading candidate for rookie of the year.

Featured Image Courtesy of the Call of Duty League

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Which CDL Rookie Will Make the Most Noise? - The Game Haus