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.
AI systems can lead to race or gender discrimination.
The US Federal Trade Commission has warned companies against using biased artificial intelligence, saying they may break consumer protection laws. A new blog post notes that AI tools can reflect “troubling” racial and gender biases. If those tools are applied in areas like housing or employment, falsely advertised as unbiased, or trained on data that is gathered deceptively, the agency says it could intervene.
“In a rush to embrace new technology, be careful not to overpromise what your algorithm can deliver,” writes FTC attorney Elisa Jillson — particularly when promising decisions that don’t reflect racial or gender bias. “The result may be deception, discrimination — and an FTC law enforcement action.”
As Protocol points out, FTC chair Rebecca Slaughter recently called algorithm-based bias “an economic justice issue.” Slaughter and Jillson both mention that companies could be prosecuted under the Equal Credit Opportunity Act or the Fair Credit Reporting Act for biased and unfair AI-powered decisions, and unfair and deceptive practices could also fall under Section 5 of the FTC Act.
Someday, scientists believe, tiny DNA-based robots and other nanodevices will deliver medicine inside our bodies, detect the presence of deadly pathogens, and help manufacture increasingly smaller electronics.
Researchers took a big step toward that future by developing a new tool that can design much more complex DNA robots and nanodevices than were ever possible before in a fraction of the time.
In a paper published on April 19, 2021, in the journal Nature Materials, researchers from The Ohio State University – led by former engineering doctoral student Chao-Min Huang – unveiled new software they call MagicDNA.
The Art Of Human Care For Covid-19 — Dr. Hassan A. Tetteh MD, Health Mission Chief, U.S. Department of Defense (DoD), Joint Artificial Intelligence Center, The Pentagon.
Dr. Hassan A. Tetteh, MD, is the Health Mission Chief, at the Department of Defense (DoD) Joint Artificial Intelligence Center, serving to advance the objectives of the DoD AI Strategy, and improve war fighter healthcare and readiness with artificial intelligence implementations.
Dr. Tetteh is also an Associate Professor of Surgery at the Uniformed Services University of the Health Sciences, adjunct faculty at Howard University College of Medicine, a Thoracic Staff Surgeon for MedStar Health and Walter Reed National Military Medical Center, and leads a Specialized Thoracic Adapted Recovery (STAR) Team, in Washington, DC, where his research in thoracic transplantation aims to expand heart and lung recovery and save lives.
In the past, Dr. Tetteh has served as Chief Medical Informatics Officer, United States Navy, and Division Lead for Futures and Innovation at Navy Medicine’s Headquarters, a Command Surgeon for the National Defense University, and as a Robert Wood Johnson Health Policy Fellow, assigned to the U.S. Congress, Congressional Budget Office, (CBO).
Dr. Tetteh served as Ship’s Surgeon and Director of Surgical Services for the USS Carl Vinson, deployed as a trauma surgeon to Afghanistan’s Helmand and Nimroz provinces, and has supported special joint forces missions to South America, the Middle East, the South Pacific, Australia, and Africa. He earned both the Surface Warfare Medical Department Officer and Fleet Marine Force Qualified Officer designations, and his military honors include two Meritorious Service Medals and the Joint Service Commendation Medal.
Dr. Tetteh is also an accomplished author, including the novel “Gifts of the Heart”, “Star Patrol” (co-authored with his son Edmund Tetteh), as well as “The Art of Human Care” and “The Art of Human Care for COVID-19″ (illustrated by his daughter Ella Bleue), and has published numerous articles on surgical innovation, health information technology, ethics, wounded warriors, and process improvement. He also serves on the board of directors for the Brooklyn, New York based Arthur Ashe Institute for Urban Health, Fayetteville, Arkansas based Champions for Kids, and Miriam’s Kitchen, a Washington, D.C. based nonprofit that works to end chronic homelessness.
Dr. Tetteh received his B.S. from State University of New York (SUNY), his M.D. from SUNY Downstate Medical Center, his M.P.A. from Harvard’s Kennedy School of Government, M.B.A. from Johns Hopkins University Carey Business School, and M.S. in National Security Strategy with a concentration in Artificial Intelligence from the National War College. He completed his thoracic surgery fellowship at the University of Minnesota and advanced cardiac surgery fellowship at Harvard Medical School’s Brigham and Women’s Hospital. Dr. Tetteh is a Certified Professional in Healthcare Information and Management, board certified in thoracic surgery, general surgery, clinical informatics, and healthcare management, and is a Fellow of the American College of Surgeons and Fellow of the American College of Healthcare Executives.
OpenAI says its text-generating system GPT-3 is now being used by more than 300 companies and tens of thousands of developers, who are collectively generating more than 4.5 billion words a day. It’s an arbitrary milestone, but a clear example of the potential for AI text-generation.
