MIT University | Breaking Cybersecurity News | The Hacker News

Are you good at hiding your feelings? No issues, your Wi-Fi router may soon be able to tell how you feel, even if you have a good poker face. A team of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a device that can measure human inner emotional states using wireless signals. Dubbed EQ-Radio , the new device measures heartbeat, and breath to determine whether a person is happy, excited, sad, or angry. Using EQ-Radio, which emits and captures reflected radio frequency (RF) waves, the team bounced waves off a person's body to measure subtle changes in breathing patterns and heart rates. This data was then run through a bunch of algorithms and a machine-learning process programmed to match a person's behavior to how they acted previously, categorizing the person's emotion as one of the four emotional states: Pleasure, Joy, Anger and Sadness. The impressive part about the technique: EQ-Radio doesn't r

While using your cell phone at a massive public event, like a concert, conference, or sporting event, you have probably experienced slow communication, poor performance or slow browsing speeds, as crowds arrive. That's because of ' Spectrum Crunch ', which means, Interference of WiFi signals with each other. WiFi signals of all cell-phones in a large event interfere with each other because they are all fighting over the same limited spectrum but there is not enough bandwidth to handle all the traffic from the cellphones that are trying to use the same frequency slice at the same time, leaving them frustrated with painfully slow Internet access. However, a team of researchers from the MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a solution for this problem. In a new research paper, 'Real-time Distributed MIMO Systems,' published online this week, the MIT team described a system for managing networks that cause the WiFi

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo

In Brief What if we could Predict when a cyber attack is going to occur before it actually happens and prevent it? Isn't it revolutionary idea for Internet Security? Security researchers at MIT have developed a new Artificial Intelligence-based cyber security platform, called ' AI2 ,' which has the ability to predict, detect, and stop 85% of Cyber Attacks with high accuracy. Cyber security is a major challenge in today's world, as government agencies, corporations and individuals have increasingly become victims of cyber attacks that are so rapidly finding new ways to threaten the Internet that it's hard for good guys to keep up with them. A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with machine-learning startup PatternEx to develop a line of defense against such cyber threats. The team has already  developed an Artificial Intelligence system that can detect 85 percent of attacks by

Forget about Superman's X-rays vision, you can now see through walls using WI-FI device only. Scientists at MIT's Computer Science and Artificial Intelligence Lab ( CSAIL ) have developed a device that uses WiFi signals to effectively see through walls and other obstacles, and identify which persons are standing behind it. Dubbed RF Capture , the new system is enhanced version of their previous methods of capturing movements across a house – technology used by mothers to see their baby's breathing and firefighters to determine if there are survivors in a burning building. How Does RF Capture Work? The working of RF Capture is actually quite simple and relatively straightforward. RF-Capture works by transmitting wireless signals that, upon hitting a person standing behind a wall, are reflected off various body parts and then back to the device for analysis to piece together the whole image of people. RF-Capture transmits radio waves that pass thro