• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

Your Computer Can Help Scientists Seeking Potential COVID-19 Treatments

April 1, 2020 By admin

IBM’s World Community Grid hosts Scripps Research project to help scientists virtually screen chemical compounds that might help fight COVID-19

IBM (NYSE: IBM) today announced that anyone in the world with a PC, laptop or Mac and an Internet connection could help scientists seek chemical compounds that might be effective against COVID-19.

To do so, volunteers’ devices will perform small, virtual experiments to identify chemical compounds, including those in existing medicines, that could potentially be used as treatments candidates for COVID-19. Compounds that show promise for treating COVID-19 will undergo further testing and analysis.

The project, designed and led by Scripps Research, will be hosted on IBM’s World Community Grid, a trusted, crowdsourced computing resource provided at no charge for scientists. Volunteers download an app that works when their devices are otherwise idle or in light use. Operating unobtrusively in the background without slowing users’ systems, the app distributes computational assignments and returns completed calculations to researchers, all via the IBM cloud.

Volunteers need not have any special technical expertise to participate; the process is automatic. Personal information is never shared, and the software cannot access personal or business files. Please click here to sign up.

With IBM’s World Community Grid crowdsourcing power from thousands of computing devices, the project, called “OpenPandemics – COVID-19,” will easily be able perform hundreds of millions of calculations needed for simulations. This could potentially help scientists accelerate the drug discovery or drug re-purposing process, traditionally performed more slowly in a traditional, “wet” laboratory. As with all World Community Grid projects, data generated by this effort will be made publicly available.

“IBM’s World Community Grid is a resource that not only empowers scientists to accelerate vital work on a large scale, but also gives volunteers a sense of empowerment, joining with others all over the globe to make a difference,” said Guillermo Miranda, VP and head of corporate social responsibility at IBM. “During a time of social distancing and isolation, this sense of purpose and interconnectedness is as important as ever.”

While the project will initially focus on COVID-19, Scripps Research also plans to develop tools and methods to allow future drug discovery projects to ramp up quickly, such as during other pandemics.

“Scripps Research is grateful to IBM for hosting our project on World Community Grid,” said Stefano Forli, PhD, assistant professor in the Department of Integrative Structural and Computational Biology at Scripps Research, and director of the project. “Tapping the unused processing power on thousands of idle computing devices provides us with an incredible amount of computing power to virtually screen millions of chemical compounds. Our joint effort with volunteers all over the world promises to accelerate our search for new, potential drug candidates that address present and future emerging biological threats, whether it is COVID-19 or an entirely different pathogen.”

The OpenPandemics – COVID-19 project on World Community Grid complements the other resources IBM has recently made available to researchers fighting COVID-19. For example, IBM’s Summit supercomputer is being used by the U.S. Department of Energy to help identify chemical compounds that could potentially fight the virus.

World Community Grid, a trusted IBM corporate social responsibility initiative, is a longstanding effort provided free of charge to scientists who need massive computing power to study humanitarian issues. The World Community Grid software allows people to use their computers as normal without compromising data safety or speed.

To date, more than 770,000 people and 450 organizations have contributed nearly two million years of computing power to support 30 research projects, including studies on cancer, Ebola, Zika and malaria and AIDS, as well as projects for developing better water filtration systems and solar energy collection. Data from World Community Grid projects are always shared with the world, and so far more than 50 peer-reviewed scientific articles have been published. The computing power is provided free of charge on the basis of crowdsourcing, allowing researchers to scale up research, pursue new research approaches and accelerate processes.

For more information about Scripps Research’s project on World Community Grid, please click here https://www.ibm.com/blogs/corporate-social-responsibility/2020/04/world-community-grid-joins-in-the-fight-against-covid-19/

SOURCE IBM

Filed Under: Tech Tagged With: COVID-19, hpc

Footer

Recent Posts

  • Texas Instruments Targets the Tiny Power Faults That Can Disrupt AI Data Centers
  • d-Matrix Begins Shipping Large AI Inference Clusters as Specialized Compute Gains Ground
  • Cisco and NVIDIA Target the Optical Bottleneck in Growing AI Networks
  • AI’s Next Infrastructure Challenge Runs From Power Conversion to Liquid Cooling
  • Microsoft’s New AI Chip Arrives as Financial Anxiety Clouds the AI Infrastructure Boom
  • Penguin Solutions (PENG) Posts Record FY26 on Memory, Bets FY27 on AI Infrastructure
  • Boost Run (BRUN) Signs $525.6M GPU Deal as Liquid Compute Opens $250M Facility to Finance Compute Before Delivery
  • Vinci Hits $1.5B Valuation Ten Months Out of Stealth With $250M Round for Chip Physics Simulation
  • Matic Becomes First Home Robot Cleared From the FCC Covered List as Security Rules Reshape Robot Vacuums
  • AltSql: An Embedded Database Engine That Syncs Devices and Gateways Without Conflicts

Media Partners

  • Market Analysis
  • BareProxy.com
  • App Coding
Why China’s Alleged Memory Chip Breakthrough Should Be Taken With a Grain of Salt
EnergyX’s Trafigura Deal Moves Lithium Extraction From Technology Promise Toward Commercial Scale
Marvell’s New Memory Expanders Target the Economics of AI Inference
AI Financing Fears Are Overrated: Hyperscaler Debt and Nvidia’s Vendor Deals Sit on Real Revenue
HyperCrux Market Analysis: Agent Memory and Local AI Drive Demand for a One-File Multi-Model Database
Small Infrastructure Primitives Run the $700 Billion AI Buildout, and Open Source Is How They Get Adopted
Screening Startup and Product Ideas After a Brainstorm: Four Questions, Money First
An AI Lab Is Paying Up Front for Atlas Energy’s (AESI) Generators as Agentic AI Multiplies Token Demand
Oracle’s Force Majeure Notice on Project Jupiter Shows Where AI Data Center Risk Is Landing
AI Infrastructure Credit Costs Rise as CoreWeave-Tied Bonds Price at 9.25% and China Chipmaker Profits Jump 620%
BareProxy Ships Its First Nine Plugins, From Maintenance Pages and CORS to Geo Rules and Rate Limits
BareProxy 0.2.0 Runs WebAssembly Plugins Through the Proxy-Wasm Interface
BareProxy 0.3.0 Writes Its Plugins in Rust, Where a Plugin Adds 15 Microseconds Instead of 42
BareProxy Is an Operating System for Web Traffic: A Small Core and a Long Stream of Plugins
BareProxy Plugins Go WebAssembly, Starting With RenderCache and AI Crawler Control
BareProxy Runs on Linux, macOS and Windows, and One Plugin File Runs on All of Them
BareProxy 0.1 Alpha Adds Plan, Apply and Rollback
Introducing BareProxy, the Web Server and Reverse Proxy That Explains Itself
BareProxy A/B and Canary Splits Plugin: Sending a Share of Traffic to a New Version
BareProxy Geo Rules Plugin: Allow, Block or Route Requests by Country
Apple's US Link-Out Fee Is Zero Until a Judge Sets It, and Apple Is Asking for Up to 15%
20 Primitive Project Ideas: Tiny Go Engines That Do the Essential 10% of Redis, Kafka and Etcd
40 Projects Worth Building: SQLite for X, Tiny Infrastructure, MCP Tools and Edge Systems
40 Radically Different Infrastructure Primitives, From Reach and Expect to Ignorance and Stop
Counterfactual Store vs. Markov Chains: From Branching State to Reach, an Engine for Possible Futures
Counterfactual Store: A Database That Stores Alternatives, Not Just Facts
Mobile App Performance: The Five Metrics That Decide Retention and Store Ratings
Screening 20 Infrastructure Primitives Money First: Why Distill and Precomputing Survive
Temporal KV: A Key-Value Store That Remembers History
A Background Job Queue in One SQLite File Covers What Most Apps Deploy Redis For

Media Partners

  • AltSql.com
  • Technology Conferences
  • API Coding
AltSql Is a Native Hybrid of Key-Value and SQL, From the Sensor to the Gateway
AltSql Core and AltSql DB Are Now Open Source Under the Apache License 2.0
Introduction
AltSql DB 0.3 Adds Secondary Indexes and Statement Savepoints: A Lookup on a Million Rows Ran 198 Times Faster Than a Full Scan
How It Works
AltSql DB 0.2: SQL and Direct Calls Wrote Byte-Identical Files Over 100,000 Random Steps
AltSql DB Keeps a Whole Fleet in One File and Reads by Key 5 Times Faster Than SQLite Through SQL
AltSql Core and Six Prototypes Built Around It
AltSql Ask Puts One SQL Question to 500 Simulated Machines and Brings Back Only the Answers
Machine Monitoring Case Study: Overheat Alarm Handled on the Sensor While Wi-Fi Was Down
International Test Conference 2026, October 11–16, Grand Hyatt San Antonio River Walk, San Antonio
AUSA Annual Meeting & Exposition 2026, October 12–14, Walter E. Washington Convention Center, Washington DC
SEMICON West 2026, October 13–15, Moscone Center, San Francisco
Fal.Con Europe 2026, November 2–4, Fira Gran Via, Barcelona
A3 International Robot Safety Conference 2026, November 3–5, Huntington Place, Detroit
Humanoids Summit Silicon Valley 2026, December 1–2, San Mateo County Event Center, San Mateo
Sohn London Investment Conference 2026, November 18, London Marriott Grosvenor Square, London
SuperReturn Secondaries North America 2026, November 17–18, Convene 360 Madison, New York
Singapore FinTech Festival 2026, November 17–20, Singapore Expo, Singapore
SuperReturn Europe 2026, November 3–6, Hotel Okura, Amsterdam
Idempotency Keys: How One Header Stops a Retry From Charging a Customer Twice
A Tiny ETL Binary Competes With curl, jq and SQLite in a Cron Job, So Build It That Small
An AI Agent Flight Recorder Belongs in One Portable File, the Way HAR Did It for HTTP
Benchmarking MCP Servers and Stateful API Workflows: Latency, Throughput and Tokens per Call
Diagnose a Slow API From One Request: DNS, Connect, TLS, Server Wait and Transfer
Finding API Endpoints, Tables and Flags Nobody Uses Takes Code and Traffic Together
Fuzzing MCP Servers: Generate Bad Arguments From the Tool Schema and Watch What Breaks
Give Any API a History: Poll It, Hash It and Query Old Versions With SQL
Infer Your API's Real Contract From Traffic, Then Diff It Against the Docs
Keeping Third-Party API Responses in SQLite Gets You a Cache, an Offline Mode and a History

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography