Will AI automate human jobs, and — if so — which jobs and when?
That’s the trio of questions a new research study from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), out this morning, tries to answer.
There’s been many attempts to extrapolate out and project how the AI technologies of today, like large language models, might impact people’s’ livelihoods — and whole economies — in the future.
Artificial intelligence models can now replicate independently new AI systems without any human intervention, according to scientists of the project.
A scientific collaboration between Aizip Inc., the Massachusetts Institute of Technology, and several University of California campuses has made a breakthrough in using larger AI models that can create smaller AI models.
OATH OF OFFICE: DID BIDEN FULFILL HIS PROMISE TO RESTORE THE ECONOMY?
On Thursday, Meta CEO Mark Zuckerberg described the company’s efforts at achieving artificial general intelligence.
WASHINGTON — The U.S. needs to flex its space muscles in the face of China’s lunar ambitions, argues a new report from the Mitchell Institute for Aerospace Studies released Jan. 17.
More specifically, the U.S. military should step up collaboration with NASA and support the development of infrastructure for scientific and economic activities in cislunar space, “as well as the means to secure those activities from potential threats such as territorial claims and irresponsible or hostile behavior,” writes Charles Galbreath, senior fellow for space studies at the Mitchell Institute.
Cislunar space — the region of space between Earth and the orbit of the moon — is becoming increasingly important strategically and economically due to potential lunar exploration, space mining and other commercial efforts poised to ramp up in the coming years.
For example, the New York Times states: “The AI industry this year is set to be defined by one main characteristic: A remarkably rapid improvement of the technology as advancements build upon one another, enabling AI to generate new kinds of media, mimic human reasoning in new ways and seep into the physical world through a new breed of robot.”
Ethan Mollick, writing in his One Useful Thing blog, takes a similar view: “Most likely, AI development is actually going to accelerate for a while yet before it eventually slows down due to technical or economic or legal limits.”
The year ahead in AI will undoubtedly bring dramatic changes. Hopefully, these will include advances that improve our quality of life, such as the discovery of life saving new drugs. Likely, the most optimistic promises will not be realized in 2024, leading to some amount of pullback in market expectations. This is the nature of hype cycles. Hopefully, any such disappointments will not bring about another AI winter.
(Bloomberg) — Google DeepMind, Alphabet Inc.’s research division, said it has taken a “crucial step” towards making artificial intelligence as capable as humans. It involves solving high-school math problems. Most Read from BloombergWall Street Dials Back Fed Wagers After Solid Data: Markets WrapMusk Pressures Tesla’s Board for Another Massive Stock AwardChina’s Economic Growth Disappoints, Fueling Stimulus CallsChina Population Extends Record Drop on Covid Deaths, Low BirthsApple to Allow Outsi.
New advancements in technology frequently necessitate the development of novel materials – and thanks to supercomputers and advanced simulations, researchers can bypass the time-consuming and often inefficient process of trial-and-error.
The Materials Project, an open-access database founded at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) in 2011, computes the properties of both known and predicted materials. Researchers can focus on promising materials for future technologies – think lighter alloys that improve fuel economy in cars, more efficient solar cells to boost renewable energy, or faster transistors for the next generation of computers.
How can the increased threat of drought and drier conditions from climate change impact groundwater (aquifer) usage, and ultimately, food production? This is what a recent study partially funded by the U.S. Department of Agriculture and published in Nature Water hopes to address as a team of researchers led by the University of Nebraska-Lincoln investigated how decreasing aquifer levels result in irrigation challenges for farmers now only in the United States but throughout the world.
This study holds the potential to help scientists, farmers, and policymakers better understand the appropriate steps to manage irrigation levels as climate change continues to lead to increased drought and drier environmental conditions across the globe.
“In terms of things that let you address food security under extreme conditions — in particular, drought and climate change — we really can’t do without irrigation,” said Dr. Nick Brozović, who is a professor of agricultural economics at the University of Nebraska–Lincoln and a co-author on the study. “If we want to feed the world with high-quality, nutritious food and a stable food supply, we need to irrigate.”
Job replacement has been a key risk factor with advancement in AI-related tech.
The International Monetary Fund (IMF) posits that the potential impact of Artificial Intelligence (AI) on the global job market stands at 40%, with advanced economies anticipated to bear the brunt of this transformation.
In the ever-evolving world of financial markets, understanding the unpredictable nature of stock market fluctuations is crucial. A new study has taken a leap in this field by developing an innovative quantum mechanics model to analyze the stock market.
This model not only encompasses economic uncertainty and investor behavior but also aims to unravel the mysteries behind stock market anomalies like fat tails, volatility clustering, and contrarian effects.
The core of this model is quantum mechanics, a pillar of physics known for explaining the behavior of subatomic particles.
