Facebook saved passwords for countless millions of consumers in plain text, exposing them for a long time to anybody who’d inner access to the documents, based on Krebs on Security. User passwords are generally protected with encryption (a procedure called hashing), but a series of mistakes led particular Facebook-branded programs to render passwords available for as many as 20,000 firm workers.
Between 200 million and 600 million Facebook consumers are thought to have been changed, based on Krebs, which reported that the security defect. Facebook affirmed the problem in a blog post, titled “Keeping Passwords Secure,” and it stated the firm identified the issue in January as a part of a safety inspection. Facebook says it’s fixed the problem and will notify everyone changed.
In accordance with Facebook, there are no signs that plain text passwords were subjected out the business or they had been mistreated internally. Because of this, users will not be asked to reset their own passwords.
The problem changed “hundreds of millions of Facebook Lite users, tens of millions of other Facebook users, and tens of thousands of Instagram users,” the company says.
Even though there are no signs of misuse, at least 2,000 Facebook workers searched through the documents containing passwords, even though it is not apparent what for. The password logging allegedly started as early as 2012.
This is the most up-to-date in a series of terrible security problems for Facebook. Back in October, a hacker managed to access private information from 29 million reports after inventing login tokens. Earlier that, hacked personal messages out of 81,000 users were discovered to possess been set up for sale. And none of this is such as the wide-scale improper information sharing problems which kicked off using Cambridge Analytica and began putting real pressure to the company to modify its practices.
Nvidia reveals $99 cheap AI computer for developers, makers, and researchers
In the last few years, improvements in AI have generated algorithms for all from picture recognition to instant translation. Nevertheless, in regards to employing these improvements in the actual world, we are only just getting started. A brand new product from Nvidia announced today at GTC — a 99 AI computer called that the Jetson Nano — ought to help accelerate that procedure.
The Nano is the most up-to-date in Nvidia’s lineup of Jetson embedded computing boards, utilized to offer the brains for robots and other AI-powered apparatus. Plug these into your most recent creation, and it’s going to have the ability to deal with tasks such as object recognition and navigation without relying on cloud computing power.
This kind of setup is called edge computing, also because it usually means that the information being processed out of microphones and cameras never leaves the apparatus, the result is generally hardware which is quicker, more dependable, and much more secure. So everyone wins. Past Jetson boards are used to power a variety of devices, from shelf-scanning robots created for Lowe’s into Skydio’s autonomous drones. However, the Nano is aiming even smaller.
Nvidia is starting a programmer kit of their Nano targeting “embedded designers, scientists, and DIY manufacturers” for $99, and production-ready modules for business companies for $129 (using a minimum purchase of 1,000 modules).
The business also unveiled an enjoyable DIY job for any advanced manufacturers: an open up $250 autonomous robotics kit called JetBot (previously ). It features a Jetson Nano plus a robot chassis, battery pack, and motors, enabling users to construct their very own self-driving robot.
Together with the 99 devkit, you receive 472 gigaflops of computing powered with a quad-core ARM A57 chip, 128-core Nvidia Maxwell GPU, and 4GB of LPDDR RAM. The Nano also supports a selection of favorite AI frameworks, such as TensorFlow, PyTorch, Caffe, Keras, and MXNet, therefore many calculations will be fairly much plug-and-play. And there is the usual brace of ports and ports, such as USB-A and B, gigabit Ethernet, and assistance to get microSD storage.
Nvidia says it expects the Nano’s cost point must open up AI hardware improvement into new users.
“We expect a lot of the maker community that wants to get into AI, but has been unable to in the past, the Jetson Nano will allow them to do that,” Nvidia’s VP and GM of autonomous machines, Deepu Talla, told reporters at a briefing.
It is certainly a fact that the Nano is competitively priced, even though it is not exceptional in that. Intel, as an instance, sells its Neural Compute Stick for $79, while Google recently unveiled two comparable apparatus beneath its Coral manufacturer: a $150 devkit and $75 USB accelerator. However, if this reveals anything, it is that Nvidia is entering a booming marketplace. Let us see exactly what AI-powered creations begin to grow.
Lyft seeks a Valuation of more than $20 Billion in its IPO
Ride-hailing stage Lyft will establish the investor roadshow for its first public offering on Monday, attempting to increase up to $2 billion and also to be valued at greater than $20 billion, according to individuals knowledgeable about the issue.
Lyft will be wanting to convince investors to make huge commitments to its own IPO, rather than hold out because of its bigger rival Uber, that will be likely to establish its very own public offering next month,” the sources stated.
Lyft will match with investors across the USA before upgrading the IPO and listing on the Nasdaq in the end of the month, the sources stated. It’ll be pitching itself as a focused bet on ride-hailing to distinguish itself out of Uber, that has diversified to regions like food delivery and cargo hauling and enlarged across the world, the sources stated.
Uber is looking for a valuation as large as $120 billion in its IPO, though some analysts have pegged it closer to $100 billion according to chosen financial amounts it’s revealed. Neither Uber nor Lyft is rewarding.
Lyft’s IPO provides provide a funding increase since it proceeds to subsidize rides with promotions to draw passengers. The windfall in the IPO will even help fund investments in areas like autonomous driving,” the sources stated.
Lyft declined to comment.
After a quiet beginning to this year, tech companies are lining up for people listings as public equity markets put near historical highs, but stay vulnerable to financial issues, such as tensions over trade arrangements along with a downturn in markets such as Europe and China.
Additional Silicon Valley unicorns – startup companies with valuations of $1 billion – like company messaging firm Slack Technologies and image-sharing firm Pinterest, are waiting in the wings to go public after, in 2019, sources have said.
First of its type
Lyft’s IPO will mark the first time a ride-hailing firm has surfaced on the US public markets. Lyft started in 2012 and is directed by its creators, Logan Green, and John Zimmer.
The ride-hailing business, that touted $36.5 billion in sales worldwide in 2017, is predicted to grow quickly in the next several years but is fraught with concerns regarding the future of automatic driving, regulatory pushback and legal challenges over drivers’ pay and benefits.
Lyft will emphasize to investors its own rapid expansion in the USA and its comparatively uncomplicated business model, which concentrates on promoting rides in cars, scooters, and bikes, Reuters has reported.
In its IPO filing, Lyft stated its US market share has climbed to 39 percent, from 35 percent in 2018, getting some ground on long-dominant Uber. Contrary to Uber, Lyft works only in North America.
Lyft’s earnings was $2.16 billion for 2018, double the prior year and upwards 528 percentage from $343 million at 2016. However, Lyft posted a reduction of $911 million for 2018, that increased by $688 million in 2017 and $682 million in 2016, based on its IPO filing.
Losses can continue to mount, Lyft cautioned, since it proceeds to spend and attention a wider global growth, and it might be made to boost driver cover.
Uber’s earnings last year was $11.3 billion, although its gross reservations from rides were $50 billion (approximately Rs. 3,43,300 crores). However, the company lost $3.3 billion, excluding gains from the sale of its overseas business units in Russia and Southeast Asia.
SoftBank’s Vision Fund and Toyota Motor are a part of a consortium of investors in discussions to spend $1 billion in Uber’s self-driving automobile unit, Reuters reported Wednesday. Taking on big investors which will influence an integral company is a strange move for business so near an IPO.
Latest Stanford’s Apple Watch Study found irregular heartbeats in around 2,000 patients
Apple along with the Stanford University School of Medicine each issued media releases now citing the outcomes of this Apple Heart Study which they collectively declared in November 2017. Stanford Medicine additionally took its findings into the American College of Cardiology’s 68th Annual Scientific Session and Expo today. Apple fully financed the analysis.
The Apple Heart Study, that didn’t incorporate the Apple Watch Series 4 (using its built-in ECG attribute ), comprised 419,093 participants. Apple says individuals from all 50 states engaged over the span of eight weeks, and as stated by the university, approximately 0.5 percent of participants — over 2,000 individuals — obtained notifications alerting them of heart rate disputes within the duration of the analysis. Researchers identified this”a significant finding given concerns regarding possible over-notification,” indicating that only being part of their Apple Heart Study was not a burden for the majority of individuals involved (or an unnecessarily distraction to their physicians ). Many health experts are worried that providing users more information to pore over is not always a fantastic thing and may be a strain on healthcare systems.
In cases where users obtained an irregular heart rhythm telling, physicians gave study participants had been an electronic consultation, in addition to an electrocardiogram patch for additional observation; readings of the electric heart rhythm were listed for around a week utilizing the suitable ECG patch in these types of scenarios.
By the sound of this Stanford is treating the Apple Heart Study as a stepping stone into further research to exactly how valuable wearable customer apparatus can be in tracking our daily wellbeing and forecasting trouble. “Atrial fibrillation is merely the start, since this research opens the door to additional research into wearable technology and how they may be utilized to stop illness before it strikes a crucial aim of Precision Health,” stated Dr. Lloyd Minor, Dean of Stanford School of Medicine.
Stanford has more on how all of this panned out:
Comparisons between irregular pulse-detection on Apple Watch and simultaneous electrocardiography (ECG) patch recordings showed the pulse detection algorithm (indicating a positive tachogram reading) has a 71 percent positive predictive value. 84 percent of the time, participants who received irregular pulse notifications were found to be in atrial fibrillation at the time of the notification.
One-third (34 percent) of the participants who received irregular pulse notifications and followed up by using an ECG patch over a week later were found to have atrial fibrillation. Since atrial fibrillation is an intermittent condition, it’s not surprising for it to go undetected in subsequent ECG patch monitoring.
Fifty-seven percent of those who received irregular pulse notifications sought medical attention.
We all know these devices (out of Apple and a lot of other businesses ) can and continue to save and enhance lives, but grabbing undiagnosed health problems is several layers outside observation heart physical fitness activity and if your heart is beating as it needs to, that are the responsibilities of the majority of customer wearables today. There is a small room for inaccuracy if technology manufacturers wish to take another step. And, this analysis only included the Apple Watch up via Series 3, so that it depended upon the device’s optical heart rate sensor to get a lot. When you strap for a heart check in a health center, there is more technical gear accessible.
“The performance and accuracy we observed in this study provide important information as we seek to understand the potential impact of wearable technology on the health system,” said Dr. Marco Perez, associate professor of cardiovascular medicine. “Further research will help people make more informed health decisions.”
Despite its more recent Apple Watch Series 4, Apple has attempted to become clear in stating that the ECG attribute is not any kind of medical diagnostic application. Whether there are many consecutive abnormal readings, then it’ll flag that for you. These devices are not for self-diagnosing your wellbeing or acting on the information which they show without needing input from an actual physician. Smartwatches and exercise trackers may detect irregularities or sudden drops, but are not yet at a location where anybody should completely rely upon them to achieve that.
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