University of Texas at Dallas researchers have taken an important step forward in building a neuromorphic computer by creating a small-scale prototype that learns patterns and makes predictions using fewer training computations than conventional AI systems. Their next challenge is to scale up the proof-of-concept to larger sizes.

In a recent study, researchers share their novel work on coupling free electrons with nonlinear optical states investigate, leveraging microcomb generation in photonic chip-based, high-quality-factor microresonators. They also highlight other technologies, including attosecond electron microscopy via free-electron homodyne detection, probing polariton wavepackets with free-electron resonant interferometry, generation and characterization of chiral electron coils, and ultrafast Kapitza-Dirac effect.

Land use is at the heart of the many emergencies facing our world today: climate change, biodiversity loss, social injustice and food insecurity. These – exacerbated by unsustainable practices such as industrial agriculture – combine to create simultaneous and interconnected crises. To overcome these challenges, large parts of the Earth's surface must meet several demands at the same time – from species conservation and food production to human well-being. This is where multifunctional landscapes come in, because they can meet many ecological, social and economic goals at once. Researchers at the Universities of Göttingen and Kassel have evaluated how using land in such ways can support nature conservation and ecosystem restoration. Their review article shows ways to redesign land use and nature conservation using integrated approaches. This was published in Nature Reviews Biodiversity.

The University of Copenhagen today launches a new AI Package aimed at helping Denmark and Europe harness the potential of artificial intelligence in a responsible and sustainable way — for the benefit of many.

The era of AI requires new educational taxonomies that prepare AI natives for personal and professional success. In a new breakthrough, a researcher from the Educational University of Hong Kong has proposed, in TAO, the novel SCALE taxonomy that integrates scientific literacy, computational thinking, AI literacy, learning to learn/metacognition, and engineering and design thinking. It equips AI natives to engage in meaningful experiences and promotes “authentic learning through creating” in the age of AI.