They have also released the tools needed for people to train their own AI.
Researchers at Stanford’s Center for Research on Foundation Models (CRFM) have unveiled an artificial intelligence (AI) model that works much like the famous ChatGPT but cost them only $600 to train. The researchers said that they hadn’t optimized their process and future models could be trained for lesser.
Until OpenAI’s ChatGPT was launched to the public in November last year, Large Language Models (LLMs) were largely a topic of discussion among AI researchers. The company has spent millions of dollars training them and making sure that they provided responses to human queries in the way another human would respond.
GARMI will also serve meals, open a bottle of water and place emergency calls.
Robots are gradually making their way into a variety of industries, from restaurant service to healthcare. Scientists have been working hard to rapidly expand robot capabilities, and it is clear that robotics will shape our daily lives in the near future.
Now, it’s time to meet “GARMI”. This white-colored humanoid which has come to the aid of doctors, nurses, and elderly citizens in need.
CHRISTOF STACHE — AFP/Getty Images.
Medicine and elderly healthcare could benefit the most from robotics advancements.
Using AI, Ting Xu and her colleagues designed polymer mixtures that mimic the natural proteins in biological fluids. The technique could improve the design of biocompatible materials.
Last week saw a plethora of new advances in AI, including the much-anticipated release of GPT-4.
Rarely, if ever, has more progress been witnessed in AI than what we are currently seeing. This is clearly an exceptional time for the field, with much hype and speculation around what the near future may bring.
If it’s always been your dream to have the ability to live forever, you may be in luck as scientists believe we are just seven years away from achieving immortality. Futurist and computer scientist Ray Kurzweil has made predictions on when the human race will be able to live forever and when artificial intelligence (AI) will reach the singularity, and he believes it could be possible as early as 2030.
One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.
The discovery by mechanical engineering researchers at Rice University is described in an open-access study published in the journal PNAS Nexus, a sister publication of the Proceedings of the National Academy of Sciences.
“This is the first rigorous framework to explain and guide the use of deep neural networks for complex dynamical systems such as climate,” said study corresponding author Pedram Hassanzadeh. “It could substantially accelerate the use of scientific deep learning in climate science, and lead to much more reliable climate change projections.”
In 1997, IBM’s Deep Blue defeated the reigning world champion chess player, Garry Kasparov. In 2016, Google’s AlphaGo defeated one of the worlds top Go players in a five-game match. Today, OpenAI released GPT-4, which it claims beats 90% of humans who take the bar to become a lawyer, and 99% of students who compete in the Biology Olympiad, an international competition that tests the knowledge and skills of high school students in the field of biology.
In fact, it scores in the top ranks for at least 34 different tests of ability in fields as diverse as macroeconomics, writing, math, and — yes — vinology.
“GPT-4 exhibits human-level performance on the majority of these professional and academic exams,” says OpenAI.
Studying Our Ocean’s History To Understanding Its Future — Dr. Emily Osborne, PhD, Ocean Chemistry & Ecosystems Division, National Oceanic and Atmospheric Administration (NOAA)
Dr Emily Osborne, Ph.D. (https://www.aoml.noaa.gov/people/emily-osborne/) is a Research Scientist, in the Ocean Chemistry and Ecosystems Division, at the Atlantic Oceanographic and Meteorological Laboratory.
The Atlantic Oceanographic and Meteorological Laboratory (AOML), a federal research laboratory, is part of the National Oceanic and Atmospheric Administration’s (NOAA) Office of Oceanic and Atmospheric Research (OAR), located in Miami in the United States. AOML’s research spans tropical cyclone and hurricanes, coastal ecosystems, oceans and human health, climate studies, global carbon systems, and ocean observations. It is one of ten NOAA Research Laboratories.
With a B.S. in Geology from the College of Charleston and a Ph.D. in Marine Science from University of South Carolina, Dr. Osborne is currently involved in investigating regional and global biogeochemical issues related to ocean health and climate through the use of a combination of paleoceanographic approaches, new autonomous sensors, and conventional measurements on large multi-disciplinary oceanographic cruises.
Paleoceanography is the study of the history of the oceans in the geologic past with regard to circulation, chemistry, biology, geology and patterns of sedimentation and biological productivity. Paleoceanographic studies using environment models and different proxies enable the scientific community to assess the role of the oceanic processes in the global climate by the re-construction of past climate at various intervals.
