Skip to main content
  1. Home
  2. Computing
  3. Emerging Tech
  4. Legacy Archives

Microsoft and spam filtering may be leading the fight against HIV

Add as a preferred source on Google

hiv stockOne of the most annoying aspects of Internet life may prove to be key in eradicating one of the most challenging viruses in real life. Apparently, Microsoft’s spam filtering research may prove beneficial in the fight to ban HIV from our bodies. The software giant says it is teaming up with members of the Ragon institute to take on HIV by supplying computing resources as well as MSR’s experience building email spam filters.

The first thing you’re probably wondering is how HIV and email spam are connected. Well, the way the immunodeficiency virus constantly mutates in order to avoid our immune system’s defenses is how we end up with 1.8 million HIV related deaths annually—that’s around 5k daily. Similarities were found with the viruses’ elusive nature and the way spammers evolve their tactics to climb over spam filters for Hotmail, Outlook and Exchange.

5483.heckerman1_lg.jpg-550x280 via technet
Image used with permission by copyright holder

The Ragon Institue, led by Bruce Walker, is a collaborative effort against AIDS between Harvard, Massachusetts General Hospital and MIT. Ragon, along with the Centre for the AIDS Programme of Research in South Africa and the KwaZulu-Natal Research Institute for Tuberculosis and HIV, have been testing a vaccine in Durban, South Africa which has been generating a humungous amount of data.

Recommended Videos

Microsoft has been lending David Heckerman and Jonathan Carlson from MSR to the task of computing all that data. Heckman previously worked on building email spam filters. The two use a tool called PhyloD which contains an algorithm that details virus patterns, allowing the team to track how individual immune systems interact with the virus.

Using Microsoft’s computing center, Heckman and his team have discovered close to six times as many attack points on the HIV virus as there were before. Further good news is that, according to Bruce Walker, all of this research can be applied to breast and prostate cancer, and could very well change the landscape of how medicine is practiced.

Jeff Hughes
Former Digital Trends Contributor
I'm a SF Bay Area-based writer/ninja that loves anything geek, tech, comic, social media or gaming-related.
The Mac Pro nearly received an M3 Extreme chip twice as powerful as M3 Ultra
High production costs likely killed Apple’s M3 Extreme plans
Apple's Mac Pro on a table at a press event.

Apple discontinued the Mac Pro earlier this year, ending a 20-year run for a computer that once represented the very best of the company’s desktop lineup. However, Apple reportedly had much bigger plans for the machine before ultimately replacing it with the Mac Studio.

According to Bloomberg’s Mark Gurman, Apple developed an M3 Extreme chip that could have offered twice as many CPU and GPU cores as the M3 Ultra. The processor was intended to sit above the Ultra tier and could have finally given the Mac Pro the performance advantage it badly needed. Apple eventually abandoned the chip due to concerns over production costs and limited demand for such an expensive machine.

Read more
Hidden prompts can secretly rewrite an AI’s memory, and researchers say that’s a serious problem
Researchers discover AI attack that rewrites an assistant's long-term memory
Chatbot on a smartphone.

Large language models are getting better at remembering us. Whether it's your preferred writing style, recurring tasks, shopping habits or project deadlines, AI assistants are increasingly storing long-term memories to make future conversations feel more personal and useful. But according to new research, that same feature could become one of AI's biggest security vulnerabilities.

Researchers from New Mexico State University have demonstrated a new attack called GhostWriter, capable of secretly planting false memories inside AI agents. Rather than stealing information outright, the attack manipulates what an AI remembers, potentially causing it to make dangerous decisions long after the original attack has taken place.

Read more
This experiment shows how easy it is to poison an open-weight AI model for under $100
This research raises new doubts about trusting open weight AI models.
Computer, Electronics, Laptop

Open-weight AI models have been having a moment lately. Just this month, Moonshot's massive Kimi K3 model landed close behind Claude Fable 5 and GPT 5.6 Sol in several benchmarks, all while remaining fully open-weight and downloadable by anyone.

However, Katie Paxton-Fear, a cybersecurity lecturer at Manchester Metropolitan University and staff security advocate at Semgrep, managed to poison an open-weight model and proved how easily that openness can be turned against you (via The Register).

Read more