Lifeboat Foundation: Safeguarding Humanity
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Michael I. Jordan explains why today’s artificial-intelligence systems aren’t actually intelligent.

THE INSTITUTE Artificial-intelligence systems are nowhere near advanced enough to replace humans in many tasks involving reasoning, real-world knowledge, and social interaction. They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively, says Michael I. Jordan, a leading researcher in AI and machine learning. Jordan is a professor in the department of electrical engineering and computer science, and the department of statistics, at the University of California, Berkeley.

He notes that the imitation of human thinking is not the sole goal of machine learning—the engineering field that underlies recent progress in AI—or even the best goal. Instead, machine learning can serve to augment human intelligence, via painstaking analysis of large data sets in much the way that a search engine augments human knowledge by organizing the Web. Machine learning also can provide new services to humans in domains such as health care, commerce, and transportation, by bringing together information found in multiple data sets, finding patterns, and proposing new courses of action.

“People are getting confused about the meaning of AI in discussions of technology trends—that there is some kind of intelligent thought in computers that is responsible for the progress and which is competing with humans,” he says. “We don’t have that, but people are talking as if we do.”

Continue reading “Stop Calling Everything AI, Machine-Learning Pioneer Says” | >

An Israeli company said Wednesday that it received European approval for its rapid coronavirus test and it was poised to help kickstart international travel.

The handheld SpectraLIT machine eliminates the need for complex lab equipment by shining light through samples and giving immediate results using the spectral signature.

This means that staff in airport booths who are currently tasked with collecting test samples and dispatching them to labs will simply have a machine at hand and be able to give passengers results after just 20 seconds of analysis.

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Bees, termites, and ants can teach us a lot about cooperation, communication, and the skills that keep societies together. But these so-called social insects may also hold secrets that could reshape our understanding of human aging. Many social insects exhibit surprising aging characteristics that cause their life spans to shift depending on their roles. Following the death of a queen Indian jumping ant, for example, workers fight for the right to transform into an egg-laying ant. Much is at stake: the life expectancy of an egg-layer is five times longer than that of a worker’s. Though fruit flies, mice, and nematodes currently dominate aging research, some scientists say social insects’ aging behaviors could help dissect aging mechanisms in humans. This video will take you deep into the catacombs—er, honeycombs—of insect aging.

Read the story ($): https://scim.ag/3cFO0k0

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Researchers have made unparalleled ultrawide-bandgap semiconductors through temperature and timing, just like baking bread.

Alloying, the process of mixing metals in different ratios, has been a known method for creating materials with enhanced properties for thousands of years, ever since copper and tin were combined to form the much harder bronze. Despite its age, this technology remains at the heart of modern electronics and optics industries. Semiconducting alloys, for instance, can be engineered to optimize a device’s electrical, mechanical and optical properties.

Alloys of oxygen with group III elements, such as aluminum, gallium, and indium, are important semiconductor materials with vast applications in high-power electronics, solar-blind photodetectors and transparent devices. The defining property of a semiconductor is its bandgap, a barrier over which only electrons with the required energy can pass. Beta-phase aluminum gallium oxides are notable because of their relatively large bandgap, but most III-O alloys are expensive to make and of unsatisfactory quality.

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The Tibet ASγ experiment, a China-Japan joint research project on cosmic-ray observation, has discovered ultra-high-energy diffuse gamma rays from the Milky Way galaxy. The highest energy detected is estimated to be unprecedentedly high, nearly 1 Peta electronvolts (PeV, or one million billion eV).

Surprisingly, these gamma rays do not point back to known high-energy gamma-ray sources, but are spread out across the Milky Way (see Figure 1).

Scientists believe these gamma rays are produced by the nuclear interaction between cosmic rays escaping from the most powerful galactic sources (“PeVatrons”) and interstellar gas in the Milky Way galaxy. This observational evidence marks an important milestone in revealing the origin of cosmic rays, which has puzzled mankind for more than a century.

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NASA’s Juno spacecraft captured a new aurora feature on Jupiter that is characterized by faint ring-shaped emissions that expand rapidly over time. These auroral emissions are believed to be triggered by charged particles coming from the edge of the planet’s magnetosphere.

NASA’s Juno mission has detected new auroral emissions on Jupiter which appear to ripple over the planet’s poles.

The Ultraviolet Spectrograph (UVS) on the Juno spacecraft captured this glowing phenomenon, which is characterized by faint ring-shaped emissions that expand rapidly over time at speeds between 2 and 4.8 miles per second (3.3 and 7.7 kilometers per second). Researchers from the Southwest Research Institute (SwRI), where Juno’s UVS instrument was built, suggest these auroral emissions are triggered by charged particles coming from the edge of Jupiter’s massive magnetosphere, according to a statement from the institute.

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A $2 million federal grant will enable Houston-based PolyVascular to launch human trials of what it hails as the first polymer-based heart valve for children.

In conjunction with the grant, Dr. Will Clifton has joined the medical device company as chief operating officer. He will oversee the grant as principal investigator, and will manage the company’s operations and R&D. Clifton is president and co-founder of Houston-based Enventure, a medical innovation incubator and education hub. He previously was senior director of medical affairs at Houston-based Procyrion, a clinical-stage medical device company.

PolyVascular’s Phase II grant came from the Small Business Innovation Research (SBIR) program, which promotes technological projects.

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Colonel Mark M. Zais, chief data scientist at United States Special Operations Command (USSOCOM) stresses the importance of AI-related education in the DOD. In his 2020 CJCS Strategic Essay Competition first place Strategy Article, he says, “Without that education, we face a world where senior leaders use AI-enabled technologies to make decisions related to national security without a full grasp of the tools that they—and our adversaries—possess.”

With the release of its first artificial intelligence (AI) strategy in 2019, the Department of Defense (DOD) formalized the increased use of AI technology throughout the military, challenging senior leaders to create “organizational AI strategies” and “make related resource allocation decisions.”1 Unfortunately, most senior leaders currently have limited familiarity with AI, having developed their skills in tactical counterinsurgency environments, which reward strength (physical and mental), perseverance, and diligence. Some defense scholars have advocated a smarter military, emphasizing intellectual human capital and arguing that cognitive ability will determine success in strategy development, statesmanship, and decisionmaking.2 AI might complement that ability but cannot be a substitute for it. Military leaders must leverage AI to help them adapt and be curious. As innovative technologies with AI applications increasingly become integral to DOD modernization and near-peer competition, senior leaders’ knowledge of AI is critical for shaping and applying our AI strategy and creating properly calibrated expectations.

War is about decisionmaking, and AI enables the technology that will transform how humans and machines make those decisions.3 Successful use of this general-purpose technology will require senior leaders who truly understand its capabilities and can demystify the hyperbole.4 Within current AI strategy development and application, many practitioners have a palpable sense of dread as we crest the waves of a second AI hype cycle, seemingly captained by novices of the AI seas.5 In-house technical experts find it difficult to manage expectations and influence priorities, clouded by buzzwords and stifled by ambitions for “quick wins.” The importance of AI-related education increases with AI aspirations and the illusion of progress. Without that education, we face a world where senior leaders use AI-enabled technologies to make decisions related to national security without a full grasp of the tools that they—and our adversaries—possess. This would be equivalent to a combat arms officer making strategic military landpower decisions without the foundations of military education in maneuver warfare and practical experience.

Strategic decisionmaking in a transformative digital environment requires comparably transformative leadership. Modernization of the military workforce should parallel modernization of equipment and technology. In the short term, senior leaders require executive AI education that equips them with enough knowledge to distill problems that need AI solutions and that provides informed guidance for customized solutions. With the ability to trust internal expertise, the military can avoid overreliance on consultants and vendors, following Niccolò Machiavelli’s warning against dependence on auxiliary troops.6 In the long term, military education should give the same attention to AI that is provided to traditional subjects such as maneuver warfare and counterinsurgency operations. Each steppingstone of military education should incorporate subjects from the strategic domain, including maneuver warfare, information warfare, and artificial intelligence.

Continue reading “Artificial Intelligence: A Decisionmaking Technology” | >