The haze of smoke from Canadian wildfires that smothered New York and New England in dark clouds Tuesday night is expected to linger throughout the week, and intensify in some areas as officials urge residents to stay inside and schools cancel outdoor activity amid “unhealthy” and “hazardous” air-quality levels.
New York City
Officials warn pollutants in the air can cause difficulty breathing, headaches and fatigue, and can be unhealthy, especially for people with respiratory illnesses.
The current education landscape requires close collaboration between edtech and AI developers to leverage their expertise and maximize the impact of AI technology in the sector. It also aims to avoid the negative consequences of redundant efforts, wasted resources and less effective solutions. By effectively applying best practices such as clear communication, alignment of goals, and interdisciplinary collaboration, edtech and AI developers can develop innovative, scalable and effective solutions. The “AI and the Future of Learning: Expert Panel Report” underscores key strategies for successful collaboration between edtech and AI developers. The report highlights key strengths and weaknesses of AI as well as the respective opportunities and barriers to employing AI technologies in the education sector.
Education plays a critical role in promoting social and economic development in a region, and when communities recognize its potential, they are more likely to support educational reforms. These reforms can address any challenges in the sector, such as funding constraints, lack of access to quality education and cultural attitudes that may deny education to particular groups. With the increased adoption of AI in the education sector, potential future developments—including ITS, adaptive assessment, gamification and the use of machine learning—can promote the efficiency of personalized learning.
In the long run, the collaboration between edtech and AI developers holds great potential for transforming education and improving learning outcomes. For this to happen, it is necessary to establish industry standards for AI in education, foster interdisciplinary collaboration between educators and AI experts, and invest in research on AI’s impact on learning outcomes. In this way, we can ensure that AI-powered tools are used effectively and ethically to improve student learning in the 21st century.
Possibly a move to freeze and stall the tec, like the bio ethics clowns who were able to freeze bio tec. But, China wouldnt sign on to any freeze, thankfully. And the tec has already spread across 3rd world countries.
WASHINGTON, June 6 (Reuters) — Senate Majority Leader Chuck Schumer said on Tuesday he has scheduled three briefings for senators on artificial intelligence, including the first classified briefing on the topic.
In a letter to colleagues on Tuesday, the Democratic leader said senators need to deepen their understanding of artificial intelligence.
“AI is already changing our world, and experts have repeatedly told us that it will have a profound impact on everything from our national security to our classrooms to our workforce, including potentially significant job displacement,” Schumer said.
Scientists are able to teach parrots to video call each other. It’s pretty wholesome.
Just shows how smart animals are. And how adaptable as well.
Wild parrots tend to fly in flocks, but when kept as single pets, they may become lonely and bored.
The 2020 Nobel Prize for Chemistry was awarded to Dr. Jennifer Doudna and Dr. Emmanuelle Charpentier for their work on the gene editing technique known as CRISPR-Cas9. This gives us the ability to change the DNA of any living thing, from plants and animals to humans.
The applications are enormous, from improving farming to curing diseases. A decade or so from now, CRISPR will no doubt be taught in High Schools, and be a basic building block of medicine and agriculture. It is going to change everything.
There are ethical and moral concerns, of course, and we will need regulations to ensure this powerful technology is not abused. But we should focus on the remarkable opportunities CRISPR has opened up for us.
On his appointment, he said, It is really a great honour and privilege to be part of the Board of the Data Lab Scotland’s Artificial Intelligence and data to help contribute and provide strategic direction to the leadership of the Lab.
I am deeply humbled for this opportunity to contribute and help unlock the rich opportunities for AI and data, not just in Scotland, UK and across the world, by bringing industry, academia and public sector to harness opportunities, connect people and ideas, develop knowledge and expertise for the good of humanity and society-creating a better and sustainable economy and society.
The Nigerian-British man stressed his love for data and AI, saying, I am deeply passionate and intentional about data, AI, transformation, innovation, education, technology, inclusion, social and global mobility.
Artificial intelligence (AI) systems have long drawn inspiration from the intricacies of the human brain. Now, a groundbreaking branch of research led by Columbia University in New York seeks to unravel the workings of living brains and enhance their function by leveraging advancements in AI.
Designated by the National Science Foundation as one of seven universities serving as the headquarters for a new national AI research institute, Columbia University received a substantial $20 million grant to bolster the AI Institute for Artificial and Natural Intelligence (ARNI). ARNI is a consortium comprising educational institutions and research groups, with Columbia at the helm. The overarching goal of ARNI is to forge connections between the remarkable progress achieved in AI systems and the ongoing revolution in our understanding of the brain.
Richard Zemel, a professor of computer science at Columbia, explained that the aim is to foster a cross-disciplinary collaboration between leading AI and neuroscience researchers, yielding mutual benefits for AI systems and human beings alike. Zemel emphasized that the exchange of knowledge flows in both directions, with AI systems drawing inspiration from the brain while neural networks in turn bear loose resemblances to its structure.
Musk criticized Twitter’s safety and content moderation team’s handling of tweets about a documentary called “What is a Woman?” (Ludovic Marin/Pool?AFP via Getty Images / Getty Images)
In confirming her resignation, Ella Irwin wrote, “So one or two people noticed that I left Twitter yesterday. I know there’s been a lot of speculation regarding what happened. Was I fired? Did I quit?”
She added, “I did resign but this has been a once in a lifetime experience and I’m so thankful to have worked with this amazing team of passionate, creative and hardworking people. Will be cheering you all and Twitter as you go!”
AI is everywhere. Its use is being debated in headlines, on social media and around dinner tables. To some, the rate of AI acceleration is concerning, with many technology leaders calling for a six-month pause in the training of new systems to better understand the impact such tools are having. To others, AI is seen as the cornerstone of the fourth industrial revolution, the latest disruptive technology opening up possibilities for new ways of learning, working and living that we have never experienced before.
Yet, disruptive technologies are nothing new. They have been changing the way we live and work for decades. And these changes have not been without consequences, particularly in the form of economic dislocation and social upheaval. Automation in manufacturing has streamlined mass production and driven down costs; Ecommerce platforms have reshaped the way we shop and do business; even online education has found new ways to provide flexible and affordable ways of learning, delivering opportunities to millions across the globe that simply were not available before.
Presently, much of the discussion around the impact of AI is based on conjecture. However, it is widely agreed that it will have a major impact on jobs and even has the potential to call into question the very fundamentals of what work is. What is not understood is how AI will play out across society in the longer term. Will it, like previous technological revolutions, deliver short-term disruptions followed by long-term benefits, or will it be the catalyst for new ways of learning and upskilling and help reduce the widening digital divide?
Joscha Bach is a cognitive scientist focusing on cognitive architectures, consciousness, models of mental representation, emotion, motivation and sociality.
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0:00:00 Introduction.
0:00:17 Bach’s work ethic / daily routine.
0:01:35 What is your definition of truth?
0:04:41 Nature’s substratum is a “quantum graph”?
0:06:25 Mathematics as the descriptor of all language.
0:13:52 Why is constructivist mathematics “real”? What’s the definition of “real”?
0:17:06 What does it mean to “exist”? Does “pi” exist?
0:20:14 The mystery of something vs. nothing. Existence is the default.
0:21:11 Bach’s model vs. the multiverse.
0:26:51 Is the universe deterministic.
0:28:23 What determines the initial conditions, as well as the rules?
0:30:55 What is time? Is time fundamental?
0:34:21 What’s the optimal algorithm for finding truth?
0:40:40 Are the fundamental laws of physics ultimately “simple”?
0:50:17 The relationship between art and the artist’s cost function.
0:54:02 Ideas are stories, being directed by intuitions.
0:58:00 Society has a minimal role in training your intuitions.
0:59:24 Why does art benefit from a repressive government?
1:04:01 A market case for civil rights.
1:06:40 Fascism vs communism.
1:10:50 Bach’s “control / attention / reflective recall” model.
1:13:32 What’s more fundamental… Consciousness or attention?
1:16:02 The Chinese Room Experiment.
1:25:22 Is understanding predicated on consciousness?
1:26:22 Integrated Information Theory of consciousness (IIT)
1:30:15 Donald Hoffman’s theory of consciousness.
1:32:40 Douglas Hofstadter’s “strange loop” theory of consciousness.
1:34:10 Holonomic Brain theory of consciousness.
1:34:42 Daniel Dennett’s theory of consciousness.
1:36:57 Sensorimotor theory of consciousness (embodied cognition)
1:44:39 What is intelligence?
1:45:08 Intelligence vs. consciousness.
1:46:36 Where does Free Will come into play, in Bach’s model?
1:48:46 The opposite of free will can lead to, or feel like, addiction.
1:51:48 Changing your identity to effectively live forever.
1:59:13 Depersonalization disorder as a result of conceiving of your “self” as illusory.
2:02:25 Dealing with a fear of loss of control.
2:05:00 What about heart and conscience?
2:07:28 How to test / falsify Bach’s model of consciousness.
2:13:46 How has Bach’s model changed in the past few years?
2:14:41 Why Bach doesn’t practice Lucid Dreaming anymore.
2:15:33 Dreams and GAN’s (a machine learning framework)
2:18:08 If dreams are for helping us learn, why don’t we consciously remember our dreams.
2:19:58 Are dreams “real”? Is all of reality a dream?
2:20:39 How do you practically change your experience to be most positive / helpful?
2:23:56 What’s more important than survival? What’s worth dying for?
2:28:27 Bach’s identity.
2:29:44 Is there anything objectively wrong with hating humanity?
2:30:31 Practical Platonism.
2:33:00 What “God” is.
2:36:24 Gods are as real as you, Bach claims.
2:37:44 What “prayer” is, and why it works.
2:41:06 Our society has lost its future and thus our culture.
2:43:24 What does Bach disagree with Jordan Peterson about?
2:47:16 The millennials are the first generation that’s authoritarian since WW2
2:48:31 Bach’s views on the “social justice” movement.
2:51:29 Universal Basic Income as an answer to social inequality, or General Artificial Intelligence?
2:57:39 Nested hierarchy of “I“s (the conflicts within ourselves)
2:59:22 In the USA, innovation is “cheating” (for the most part)
3:02:27 Activists are usually operating on false information.
3:03:04 Bach’s Marxist roots and lessons to his former self.
3:08:45 BONUS BIT: On societies problems.
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