Clear waters, hidden toxins
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-May-2025 23:09 ET (24-May-2025 03:09 GMT/UTC)
New laboratory research shows that when viruses attack a species that forms toxic algal blooms, those thick, blue-green slicks that choke waterways and that threaten ecosystems, drinking water, and public health, what results might be even worse than before the infection. The finding questions the long-held theory among scientists that the viruses help regulate the negative effects of these blooms.
A team of environmental microbiologists led by Dr. Jozef Nissimov, a professor at the University of Waterloo, has shown for the first time experimentally that when viruses infect and kill Microcystis aeruginosa, a common species responsible for harmful algal blooms (HABs), they cause the release of high levels of the toxin microcystin-LR into the water from the infected cells.
In the rapidly evolving field of quantum computing, silicon spin qubits are emerging as a leading candidate for building scalable, fault-tolerant quantum computers. A new review titled "Single-Electron Spin Qubits in Silicon for Quantum" published May 2 in Intelligent Computing, a Science Partner Journal, highlights the latest advances, challenges and future prospects of silicon spin qubits for quantum computing.
Engineers in Australia have invented a small ‘neuromorphic’ device that detects hand movement, stores memories and processes information like a human brain, without the need for an external computer.
The RMIT team says the innovation marks a step towards enabling instant visual processing in autonomous vehicles, advanced robotics and other next-generation applications for improved human interaction.
Neuromorphic vision systems are designed to use similar analogue processing to our brains, which can greatly reduce the amount of energy needed to perform complex visual tasks compared with digital technologies used today.The Exposome Moonshot Forum will take place May 12th to 15th in the heart of Washington, DC. This highly participatory, impact-driven, multi-stakeholder forum will consider issues and opportunities surrounding data protection, AI integrations, and multi-national representation to build an effective and ethically informed launchpad for the Human Exposome. The Human Exposome, a counterpart to the Human Genome Project, uses precision analytics, predictive environmental data, and biometrics to understand the impact of lived environment on individual health profiles and outcomes. This once-in-a-generation endeavor will revolutionize the way we understand and address public health challenges, offering highly precise health profiles that consider every individual’s lived experience and local context.