Lifeboat Foundation

“Cutting edge technology” reveals how scribes foiled modern scholars with one of the Biblical texts.

EPFL scientists have developed AI-powered nanosensors that let researchers track various kinds of biological molecules without disturbing them.

The tiny world of biomolecules is rich in fascinating interactions between a plethora of different agents such as intricate nanomachines (proteins), shape-shifting vessels (lipid complexes), chains of vital information (DNA) and energy fuel (carbohydrates). Yet the ways in which biomolecules meet and interact to define the symphony of life is exceedingly complex.

Scientists at the Bionanophotonic Systems Laboratory in EPFL’s School of Engineering have now developed a new biosensor that can be used to observe all major biomolecule classes of the nanoworld without disturbing them. Their innovative technique uses nanotechnology, metasurfaces, infrared light and artificial intelligence. The team’s research has just been published in Advanced Materials.

From a serendipitous meeting of minds to laser-enabled precision, Cellino is leveraging AI and pluripotent stem cells for longevity.

The milestone, which the MOXIE instrument achieved by converting carbon dioxide into oxygen, points the way to future human exploration of the Red Planet.

The growing list of “firsts” for Perseverance, NASA ’s newest six-wheeled robot on the Martian surface, includes converting some of the Red Planet’s thin, carbon dioxide-rich atmosphere into oxygen. A toaster-size, experimental instrument aboard Perseverance called the Mars Oxygen In-Situ Resource Utilization Experiment (MOXIE) accomplished the task. The test took place April 20, the 60th Martian day, or sol, since the mission landed on February 18.

While the technology demonstration is just getting started, it could pave the way for science fiction to become science fact – isolating and storing oxygen on Mars to help power rockets that could lift astronauts off the planet’s surface. Such devices also might one day provide breathable air for astronauts themselves. MOXIE is an exploration technology investigation – as is the Mars Environmental Dynamics Analyzer (MEDA) weather station – and is sponsored by NASA’s Space Technology Mission Directorate (STMD) and Human Exploration and Operations Mission Directorate.

In this episode of “Intelligence Matters,” National Security Commission on Artificial Intelligence Chair and Former CEO of Google Eric Schmidt joins Michael Morell to discuss the importance of investing in artificial intelligence as a national security priority. Schmidt believes China is likely to catch up to the U.S. in a few years in its artificial intelligence capabilities. He outlines how intelligence and national defense can benefit from superiority in these technologies and the benefits of holding A.I. to American values.

HIGHLIGHTS

China is catching up to the U.S. in A.I. capabilities: “Where we are today with A.I. is that we judge America still ahead, but China investing very heavily and likely to catch up very soon. We don’t say what soon is, but my personal opinion, it is a few years, not five years.”

Reinforcement learning algorithms are only now starting to be applied in business settings — but could help companies solve complicated problems. Here’s how.

Most machine learning systems leverage historical data to make predictions. But learning through trial and error lead to more creative solutions.

Researchers at the National Institute of Standards and Technology are proposing a new approach to large-scale artificial intelligence (AI) by relying on the integration of photonic components with superconducting electronics.

Previous approaches to achieving general intelligence in artificial intelligence systems have focused on conventional silicon microelectronics paired with light. There are major barriers to this approach, however. There are many physical and practical limitations with the fabrication of silicon chips with electronic and photonic elements.

General intelligence is “the ability to assimilate knowledge across content categories and to use that information to form a coherent representation of the world.” It involves the integration of various sources of information, and it must result in a coherent and adaptive model of the world. The design and hardware construction for general intelligence requires the application of principles of neuroscience and very-large-scale integration.

As content moderation continues to be a critical aspect of how social media platforms work — one that they may be pressured to get right, or at least do better in tackling — a startup that has built a set of data and image models to help with that, along with any other tasks that require automatically detecting objects or text, is announcing a big round of funding.

Hive, which has built a training data trove based on crowdsourced contributions from some 2 million people globally, which then powers a set of APIs that can be used to identify automatically images of objects, words and phrases — a process used not just in content moderation platforms, but also in building algorithms for autonomous systems, back-office data processing, and more — has raised $85 million in a Series D round of funding that the startup has confirmed values it at $2 billion.

“At the heart of what we’re doing is building AI models that can help automate work that used to be manual,” said Kevin Guo, Hive’s co-founder and CEO. “We’ve heard about RPA and other workflow automation, and that is important too but what that has also established is that there are certain things that humans should not have to do that is very structural, but those systems can’t actually address a lot of other work that is unstructured.” Hive’s models help bring structure to that other work, and Guo claims they provide “near human level accuracy.”

Cerebras Systems has unveiled its new Wafer Scale Engine 2 processor with a record-setting 2.6 trillion transistors and 850000 AI-optimized cores. It’s built for supercomputing tasks, and it’s the second time since 2019 that Los Altos, California-based Cerebras has unveiled a chip that is basically an entire wafer.

Chipmakers normally slice a wafer from a 12-inch-diameter ingot of silicon to process in a chip factory. Once processed, the wafer is sliced into hundreds of separate chips that can be used in electronic hardware.

But Cerebras, started by SeaMicro founder Andrew Feldman, takes that wafer and makes a single, massive chip out of it. Each piece of the chip, dubbed a core, is interconnected in a sophisticated way to other cores. The interconnections are designed to keep all the cores functioning at high speeds so the transistors can work together as one.