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Race to Commercialize Cold Fusion Is Afoot

Race to Commercialize Cold Fusion Is Afoot | technology | Scoop.it
The two leaders of the Energy Revolution: Randell Mills (left), and Andrea Rossi (right). There's a tight race going on to commercialize Cold Fusion / LENR (Low Energy Nuclear Reactions) technologies. The two most prominent people involved are Randell Mills and Andrea Rossi, and it seems Rossi is the man in the lead. He's made the…

Via Alain Coetmeur
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How Machine Learning is Making Companies More Efficient

How Machine Learning is Making Companies More Efficient | technology | Scoop.it
Despite all the talk about machine learning, it would not be an overstatement to say that there is serious gap between the hype and reality. As always is the case, the truth lies somewhere in between. Many companies are already using machine learning in multiple areas and have experience massive changes in the way they do business. Any company which has a context to information is using machine leanring to clear the clutter. According to an article published in Techcrunch, nearly every Fortune 500 company is already using machine learning in one or the other way.

Here are a few of the things where machine learning has found great degree of application and is making serious changes and benefits:

Performance Linked Contracts

Machine learning is helping companies move to completely avant-garde contractual terms which won’t be possible without machine learning. For example, machine learning is changing how airline companies are paying for aircraft engines. Nowadays, airlines are paying for engines based on a time on wing metric, which identifies the operational reliability of an aircraft engine forcing manufacturers to make these engines more dependable. This is where the pattern recognition capabilities of machine learning come into play. These algorithms can isolate vulnerabilities within these implementations and accurately identify what kind of maintenance is required to repair them.

Faster Search & Display

Many companies need fast data analysis and recommendations on what to show to its users in the fastest. Companies like Home Depot, Apple, Intuit all need to know how to prioritse display on their stores, app store or their help page when a user types in a certain tax form. E-commerce startups like Lyst , Trunk Archive, Rich Relevance and Edgecase are employing machine learning to show high-quality content or right products for its browsing customers.

Content Filtering

Machine-learning is increasingly being used by Content platforms that curate user generated content. It’s always a challenge for such platforms as to how to weed out the junk and showcase great content.  Machine Learning models are helping filter out the bad and bring in the good without needing a real person to tag each piece of content. Companies like Pinterest, Yelp, nextDoor and Disqus use machine learning to filter out trashy content and show the good ones.

Spam Filtering

Machine Learning is extensively being used to filter out spams. For example, till not far back spans were a huge nuisance for the emails. Machine learning has helped identify spam and, basically, eradicate it. These days, it’s far more uncommon to see spam in your inbox each morning.

Resource Use/Queuing  Planning

Healthtech companies and hospitals are using a technique called Discrete Event Simulation to predict wait times for patients in emergency department waiting rooms. The models use factors such as staffing levels, patient data, emergency department charts, and even the layout of the emergency room itself to predict wait times.

Customer Engagement

Instead of having users self-select an issue and fill out endless form fields, machine learning is helping companies look at the substance of a request and route it to the right place. Ticket tagging and routing can be a massive expense for big businesses. Machine learning, by helping automate the process is helping customer service save significant time and money, all while making sure issues get prioritized and solved as fast as possible.

Understanding customer behavior

Role of sentiment, mood etc in consumer decision making behavior  is increasingly being recognized as a key factor that drives a lot of big decisions. For example, A game studio recently put out a new title in a popular video game line without a game mode that fans were expecting. When gamers took to social media to complain, the studio was able to monitor and understand the conversation. The company ended up changing their release schedule in order to add the feature, turning detractors into promoters. How did they pull faint signals out of millions of tweets? They used machine learning.

Fact is, machine learning practice has beyond the likes of Google, Facebook and Twitter. Its spreading fast into other areas and companies. Data is more prevalent than ever, and it’s easier to access. So much so that nearly every decent size website you interact with is using machine learning behind the scenes. Big companies are investing in machine learning because they’ve seen positive ROI!

Reference: Techcrunch, Forbes 360
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Here are a few of the things where machine learning has found great degree of application and is making serious changes and benefits.

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Post FBI Tussle, Apple To Make iPhone Hacking Harder

Post FBI Tussle, Apple To Make iPhone Hacking Harder | technology | Scoop.it
Apple is reportedly planning about methods to make it even harder to hack iPhones. According to the New York Times & FT, Apple wants to prevent passcode-free recovery mode in future iPhones and encrypt iPhone backups on iCloud.

These moves by the company come in the backdrop of its tussle with the FBI. The FBI found an iPhone that used to belong to one of the suspects in the San Bernardino terrorist attack and wanted Apple to give a backdoor to access data on this phone. FBI, particularly wants Apple to create a new firmware that would let the FBI unlock the iPhone and access an iCloud backup of the terrorists phone.

The thought process in Apple seems to be that in future the best way to refuse complying to these orders would be to make this technically impossible, apparently by disabling or limiting “DFU (device Firmware update) mode. DFU mode is at the center of the current debate as its current design makes the FBI requests possible.  

When it comes to iCloud security, Apple currently owns the decryption keys . However post current controversy, Apple may give the private key to its customers so that the company wouldn’t be able to decrypt backups.

All these moves will take time to implement and will also put customers at greater risk in cases where they lose the private keys which will disable their phones permanently.
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Google Makes Android N Available for Early Preview

Google Makes Android N Available for Early Preview | technology | Scoop.it

Google has released an early preview of the next version of its mobile OS, Android N – with features like split-screen multitasking, increased battery life and better notifications.

Spilt Screen



Android N comes with a split-screen multitasking view called Multi-Window, which allows two apps to be run on one screen. The apps can be run side-by-side or one above the other, with the split resizable using a central slider. The feature seems to be primarily aimed at larger devices including phablets and tablets. Users can switch apps by simply double-taping the recently used apps button to switch to the previously used app thus speeding up bouncing between apps.

Sleep and zoom



Android N also comes with a zoom setting that allows users to make objects on the screen bigger for a clearer view or fit more on screen by shrinking it all. Users will be able to change the size of icons and text on screen by using the new zoom slider, which will help those who need a bit of magnification to see what’s going on.

Notifications



The new notification shade will have a top row of quick settings, which the user can change, and group notifications. Users can also group notifications from a single app together. Google’s quick-reply feature, available within its Hangouts and Messenger messaging apps and Android Wear, will also become a standard feature within Android N, allowing users to bash out replies to messages straight from the notification shade without having to enter the app.

Battery Efficiency



Doze available in Android 6.0 Marshmallow improved battery efficiency by putting the instrument into a lower-power state and prevents interferences (for ex internet access) that could wake the device up when the screen was off and it wasn’t moving. Android N further extends that feature to cases when the screen is off but the phone is in motion, further enhancing battery efficiency.

Faster Processing

The new version of its Java Android RunTime (Art), which runs the android N, is faster and more efficient which brings down the time required to install Android updates and other upgrades. 

Source: The Guardian, Techcrunch

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Waze can Now Alert you on impending Traffic congestion

Waze can Now Alert you on impending Traffic congestion | technology | Scoop.it
Google’s Waze is a handy navigation app that helps people with all they need to know about local traffic to speed up as they commute. Now making the experience even better,  Waze has announced about  a handy new feature that will make it easier for those who are planning to drive to an upcoming appointment, meeting or other important trip: Waze Planned Drives.

The option allows one to tell the app when she needs to reach her destination, and it will then alert her as to when she should leave, while taking into consideration things like expected traffic conditions, aggregated traffic history, and more.



The feature makes it easier for users to manage their time and schedule more flexible to-do’s. The feature can be integrated with calendar and Facebook Events. If you’re fine with giving Waze more access to your personal data, including calendar and Facebook feeds, the app can create timed drives for preprogrammed events. It can also notify your contacts of your arrival at a certain destination.

According to the Waze Team, even Planned Drives that one enters in manually are also designed to be a “set it and forget it” thing. The app  makes automatic adjustments to departure times based on real-time traffic conditions – there’s nothing you need to keep track of, after the drive is entered.

Other interesting feature in the latest Waze update include notifications in the Waze Traffic Bar for traffic jams, and automatically muting the app during incoming or outgoing calls.

Waze Planned Drives has been made available on  iOS application, and will arrive soon on Android.

Source: Techcrunch, Venturebeat
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Google Self-Driving Car Hit Another Vehicle

Google Self-Driving Car Hit Another Vehicle | technology | Scoop.it
Since Google’s robot cars have been on the road, they have been involved with 17 different accidents. But in those incidents, Google’s car wasn’t to blame — another car struck Google’s or the test driver behind the autonomous vehicle was at fault.

Until earlier this month. On Feb. 14, one of Google’s self-driving Lexus SUVs struck a municipal bus in Mountain View, according to documents filed with the California DMV.

According to the report, the Google car was waiting at an intersection to turn right when it encountered several sand bags blocking the lane. When the light turned green, the car moved left to avoid the bags, then struck a public bus coming from behind.

Google’s autonomous driving mode was active when the crash occurred (in other incidents, Google’s test drivers had switched on manual mode). The bus was traveling at 15 miles per hour and Google’s car was going two miles per hour. According to the report, the test driver “saw the bus approaching in the left side mirror but believed the bus would stop or slow to allow the Google [autonomous vehicle] to continue.” No one was injured.

Google’s self-driving car unit has repeatedly stressed that autonomous vehicles are far safer than human-piloted ones. Getting regulatory approval and consumer acceptance of driverless fleets is the key pillar to the unit’s business strategy.

It’s unclear if Google will ascribe the bus accident to an error with its driving system or simply the complexity of traffic. Very few of the thorny insurance and policy answers about how to treat robotic systems have been worked out.

We reached out to Google for additional comment. Tomorrow is the first of the month, when Google typically puts out its monthly traffic report detailing each incident involving its cars. Google said there were no accidents registered in December or January.

Update: Google released a snippet of its February self-driving car report a day early to address the bus crash. The company described the incident as something that happens “every day” on the road, but noted that Google “clearly bear[s] some responsibility.”


Our test driver, who had been watching the bus in the mirror, also expected the bus to slow or stop. And we can imagine the bus driver assumed we were going to stay put. Unfortunately, all these assumptions led us to the same spot in the lane at the same time. This type of misunderstanding happens between human drivers on the road every day.

This is a classic example of the negotiation that’s a normal part of driving — we’re all trying to predict each other’s movements. In this case, we clearly bear some responsibility, because if our car hadn’t moved there wouldn’t have been a collision. That said, our test driver believed the bus was going to slow or stop to allow us to merge into the traffic, and that there would be sufficient space to do that.
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Rescooped by Akshita Agarwal from LENR revolution in process, cold fusion
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Race to Commercialize Cold Fusion Is Afoot

Race to Commercialize Cold Fusion Is Afoot | technology | Scoop.it
The two leaders of the Energy Revolution: Randell Mills (left), and Andrea Rossi (right). There's a tight race going on to commercialize Cold Fusion / LENR (Low Energy Nuclear Reactions) technologies. The two most prominent people involved are Randell Mills and Andrea Rossi, and it seems Rossi is the man in the lead. He's made the…

Via Alain Coetmeur
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