Check out all the on-demand sessions from the Intelligent Security Summit here.
Self-healing endpoint platform providers are under pressure to create new solutions to help CISOs consolidate tech stacks while improving cyber-resiliency. CISOs see the potential of self-healing platforms to reduce costs, increase visibility and capture real-time data that quantifies how cyber-resilient they are becoming. And reducing costs while increasing cyber-resilience is the risk profile their boards of directors want.
A self-healing endpoint is one that combines self-diagnostics with the adaptive intelligence to identify a suspected or actual breach attempt and take immediate action to stop it. Self-healing endpoints can shut themselves off, complete a re-check of all OS and application versioning, and then reset themselves to an optimized, secure configuration — all autonomously with no human intervention.
The PneumoPlanet inflatable lunar habitat offers an opportunity for future lunar astronauts to comfortably live, eat and work on the moon, its designers say.
Railguns, Coilguns, Gauss Cannons, MAC Guns, what does it all mean? This week we’re exploring the topic of Electromagnetic weapons. From Halo to just Science Fiction in general, they’re a staple due to their cool designs but also because of how close we are to building them today. We’ll look at a few of the weapons we see in Halo as well as some real world experiments and designs showing just how close we are to having MAC Guns in space ourselves!
If you have any questions or comments, leave them in the comments section below. I’d love to hear from you!
The losses for short-sellers betting against Elon Musk’s electric vehicle company have ballooned to $7.6 billion over the past month, making it the least profitable short position for hedge funds, according to data from S3 Partners.
Shares of Tesla have been on a rollercoaster following vehicle price cuts and a weaker-than-expected fourth-quarter delivery number. But on the company’s most recent earnings call, Musk reaffirmed the company’s long-term growth target of 50%.
Google chief evangelist and “father of the internet” Vint Cerf has a message for executives looking to rush business deals on chat artificial intelligence: “Don’t.”
Cerf pleaded with attendees at a Mountain View, California, conference on Monday not to scramble to invest in conversational AI just because “it’s a hot topic.” The warning comes amid a burst in popularity for ChatGPT.
After decades of speculation, real-world artificial intelligence has finally hit a tipping point. Now that we know what AI models like ChatGPT and DALL-E can do, should we be worried?
Summary: Tracking hippocampal neurons in mice as they watched a movie revealed novel ways to improve artificial intelligence and track neurological disorders associated with memory and learning deficits.
Source: UCLA
Even the legendary filmmaker Orson Welles couldn’t have imagined such a plot twist.
Not going to happen unless some “doomsdayers” decide to take man back to analog. Perish the thought!
Which brings us to Big Blue – not Big Brother – and its move to take artificial intelligence into the cloud minus all the hardware.
Yes, IBM (and let’s not leave out Red Hat, IBM’s core cloud player) has found another way to tout its cloud computing business by creating what it calls an artificial intelligence-focused supercomputer that exists in the cloud.
Imagine you’re a young engineer whose boss drops by one morning with a sheaf of complicated fluid dynamics equations. “We need you to design a system to solve these equations for the latest fighter jet,” bossman intones, and although you groan as you recall the hell of your fluid dynamics courses, you realize that it should be easy enough to whip up a program to do the job. But then you remember that it’s like 1950, and that digital computers — at least ones that can fit in an airplane — haven’t been invented yet, and that you’re going to have to do this the hard way.
The scenario is obviously contrived, but this peek inside the Bendix MG-1 Central Air Data Computer reveals the engineer’s nightmare fuel that was needed to accomplish some pretty complex computations in a severely resource-constrained environment. As [Ken Shirriff] explains, this particular device was used aboard USAF fighter aircraft in the mid-50s, when the complexities of supersonic flight were beginning to outpace the instrumentation needed to safely fly in that regime. Thanks to the way air behaves near the speed of sound, a simple pitot tube system for measuring airspeed was no longer enough; analog computers like the MG-1 were designed to deal with these changes and integrate them into a host of other measurements critical to the pilot.
To be fair, [Ken] doesn’t do a teardown here, at least in the traditional sense. We completely understand that — this machine is literally stuffed full of a mind-boggling number of gears, cams, levers, differentials, shafts, and pneumatics. Taking it apart with the intention of getting it back together again would be a nightmare. But we do get some really beautiful shots of the innards, which reveal a lot about how it worked. Of particular interest are the torque-amplifying servo mechanism used in the pressure transducers, and the warped-plate cams used to finely adjust some of the functions the machine computes.
