search
biological computer
Trends
- 1Australian Scientists Building World's First Biological Computer●Scientists Are Creating The World’s First Biological Computer In Australia | 10 News +
Scientists in Australia are reportedly developing the world's first biological computer, a machine that uses biological material rather than silicon to process information. The project is drawing wide attention as coverage highlights the potential of biocomputing to transform medicine, research and computing power. Commenters are debating how close the technology is to practical use and what ethical questions it may raise.
- 2Biohub's Virtual Biology Initiative Lands $300M From Google, Meta, Isomorphic Labs▼Biohub’s Virtual Biology Initiative Nabs $300M From Google, Meta, Isomorphic Labs
The Chan Zuckerberg Biohub's Virtual Biology Initiative has secured $300 million in funding from Google, Meta, and Isomorphic Labs. The investment links major technology and AI drug-discovery companies to a push toward computational models of biological systems, underscoring growing tech-industry involvement in life science research.
- 3Biohub raises $1.8 billion for virtual biology initiative▼Biohub raises $1.8bn for its 'virtual biology' initiative
Biohub has raised $1.8 billion to fund its 'virtual biology' initiative, which aims to use computational models to understand and simulate biological systems. The funding ranks among the larger recent investments in the life sciences, reflecting growing interest in applying AI and data-driven approaches to biomedical research.
- 4CZ Biohub, US and Google collaborate on virtual cell project●"The beginning of a new scientific paradigm": Zuckerberg's Biohub, U.S. and Google build virtual cell
Researchers from CZ Biohub, the Chan Zuckerberg Initiative's research hub, along with the U.S. government and Google, are building a virtual cell — an AI-based computational model of how cells work. The project is being described as the beginning of a new scientific paradigm for biology, promising to speed up research into disease and cellular behaviour.
- 5Biohub's virtual biology project hits $1.8 billion in funding▼Funding for Biohub's virtual biology project reaches $1.8B with big tech backing
Funding for the Chan Zuckerberg Biohub's virtual biology project has reached $1.8 billion, with major technology companies among its backers. The initiative aims to model biological systems computationally, combining AI, biology and large-scale data. The scale of the investment and the involvement of big tech firms are drawing attention across the biotech and science funding communities.
- 6Biohub's Virtual Biology Initiative Reaches $1.8 Billion▼Biohub’s Virtual Biology Initiative Grows to $1.8 Billion With DOE, NIH and Big Tech
The Biohub's Virtual Biology Initiative has grown to a reported $1.8 billion, drawing involvement from the US Department of Energy, the National Institutes of Health and major technology companies. The scale-up signals a major push into large-scale computational and virtual approaches to biological research, combining government funding with private-sector computing resources. Details about specific projects and funding splits remain limited.
- 7Biohub Secures $300 Million From Google, Meta, Isomorphic Labs▼Biohub Nabs $300M From Google, Meta, Isomorphic Labs for Virtual Biology Initiative
Chan Zuckerberg Biohub has received $300 million from Google, Meta, and Isomorphic Labs to fund a virtual biology initiative. The investment will support AI-driven modeling and simulation of biological systems, combining the tech companies' computing expertise with the Biohub's biomedical research. The collaboration highlights growing tech-industry involvement in life sciences and drug discovery research.
- 8US, Google and Meta team up to build virtual cells▼US, Google, Meta join forces to build ‘virtual cells’ for digital biology experiments
The US government, Google and Meta are joining forces to develop 'virtual cells' — computer models that simulate biological cells digitally. The aim is to let researchers run biology experiments in silico, potentially speeding up drug discovery and basic research without lab work. The collaboration pairs big tech's AI and computing power with public-sector science goals.
- 9New PEtab Select Standard Aims to Simplify Biological Model Selection▼New Standard PEtab Select Brings Order to the Chaos of Choosing Biological Models
A new standard called PEtab Select has been introduced to bring order to the often chaotic process of choosing among competing biological models. It provides a unified format for defining and running model selection tasks, helping researchers compare candidate models of biological systems more systematically and reproducibly. Coverage highlights its potential to streamline computational biology workflows, though wider community reaction is still limited as the standard is newly announced.
- 10Biohub, DOE and NIH Commit $1.8 Billion to Virtual Biology Initiative▼Biohub, DOE, NIH and Partners Commit $1.8B to Virtual Biology Initiative
CZ Biohub, the Department of Energy, the National Institutes of Health and partner organisations have pledged $1.8 billion toward a new Virtual Biology Initiative. The programme aims to build large-scale computational models of biological systems, combining AI and simulation to accelerate research in medicine and fundamental biology. The scale of the commitment marks one of the largest joint public-private investments in computational life sciences to date.
- 11
The Biohub research organization has announced a $1.8 billion initiative to develop artificial intelligence models capable of predicting cell behavior. The program aims to combine large-scale biological data with machine learning to forecast how cells respond to disease, drugs and genetic changes. The scale of the funding makes it one of the larger private investments in AI-driven biology to date, drawing attention from scientists tracking the convergence of computing and life sciences.
- 12Spiking neural network learns to predict future events▼A spiking neural network learns to predict what will happen, when, and how likely
Researchers have developed a spiking neural network, a brain-inspired computing model, that can predict what will happen next, when it will happen, and how probable it is. The work combines predictive learning with spiking dynamics, offering a more biologically realistic approach to forecasting than conventional artificial neural networks.
- 13GenScript Launches Startup Pitchfest With Nvidia▼Genscript Launches Life Sciences Startup Pitchfest With Nvidia For Biotech Innovation
GenScript has launched a life sciences startup pitchfest in partnership with Nvidia, aimed at identifying and supporting early-stage biotech innovation. The competition gives emerging companies a platform to present ideas spanning genomics, synthetic biology and AI-driven drug discovery, with Nvidia's involvement pointing to a focus on computing-heavy biotech. Details on prizes, judging and application deadlines were not immediately available.
- 14Biohub, DOE and NIH pour $1.8 billion into virtual biology data initiative▼Biohub, DOE, and NIH Invest $1.8B in Virtual Biology Data Initiative
CZ Biohub, the US Department of Energy and the National Institutes of Health are jointly committing $1.8 billion to a new initiative building large-scale virtual biology data resources. The funding aims to support digital models and shared datasets for biological research. Details on how the money will be allocated have not yet been laid out.
- 15NC State's Peng Spotlighted as Sought-After Scientific Collaborator▼Benchtop Meets Bioinformatics: Why NC State’s Peng is a Sought-After Scientific Partner
North Carolina State University is profiling researcher Peng, highlighting how his expertise bridges laboratory bench work with bioinformatics. The university describes him as a sought-after scientific partner whose computational skills complement experimental research, making him a valuable collaborator across biological projects.
- 16New Calibration Framework Boosts Confidence in AI Virtual Cell Models▼New Calibration Framework Improves Confidence in AI Virtual Cell Models
A new calibration framework has been introduced to improve the reliability of AI-based virtual cell models used in biological research. According to Genetic Engineering and Biotechnology News, the framework helps researchers better assess how much trust to place in model predictions. The news is drawing attention in the biotechnology and computational biology communities, where virtual cell models are increasingly used to simulate cellular behavior and guide experiments.
- 17Google, Meta and US Back 'Virtual Cell' Biology Datasets●Google, Meta, and US build biology datasets for 'virtual cells'
Google, Meta and US researchers are building large biological datasets to support 'virtual cells' — computational models of how cells behave. The aim is to let scientists simulate and study cellular processes digitally instead of relying solely on lab experiments. The initiative is drawing attention as one of the most ambitious efforts to combine artificial intelligence with fundamental biological research.
- 18OBLX project aims to standardize bioinformatics reference resources●OBLX: building standardized reference resources for reproducible bioinformatics data analysis
A project called OBLX is building standardized reference resources intended to make bioinformatics data analysis reproducible. Published in Frontiers, the work addresses a longstanding problem in computational biology, where inconsistent reference data often leads to results that cannot be reliably repeated across laboratories. Researchers in the field say reproducibility remains a major bottleneck, and shared, well-maintained reference resources are seen as a practical step toward more comparable analyses.
- 19Loyola students present research at Great Plains Bioinformatics Conference▼Students from Dr. Wheeler's Lab present at the Great Plains Bioinformatics Conference
Students working in Dr. Wheeler's laboratory at Loyola University Chicago presented their research at the Great Plains Bioinformatics Conference. The university highlighted the students' participation, underscoring the lab's role in training young researchers in computational biology. Details of the specific projects presented have not been released, but the appearance reflects Loyola's growing presence in the bioinformatics field.
- 20Drug Discovery Informatics Market to Hit $7.74 Billion by 2030●Drug Discovery Informatics Market Projected to Reach $7.74 Billion by 2030 as AI Agents Need Biological Context
A new market projection puts the drug discovery informatics market at $7.74 billion by 2030, driven by the rise of AI agents in pharmaceutical research. The report argues that these systems need rich biological context to generate useful results, boosting demand for integrated data platforms. Growth is expected to come from pharmaceutical and biotech firms adopting computational tools across the discovery pipeline.