Time on wire

US-based hardware giant Dell announced today a security breach that took place earlier this month, on November 9. Dell says it detected an unauthorized intruder (or intruders) "attempting to extract Dell.com customer information" from its systems, such as customer names, email addresses, and hashed passwords. The company didn't go into details about the complexity of the password hashing algorithm, but some of these --such as MD5-- can be broken within seconds to reveal the plaintext password. "Though it is possible some of this information was removed from Dell's network, our investigations found no conclusive evidence that any was extracted," Dell said today in a press release. In a statement sent to ZDNet, Dell said it's still investigating the incident, but said the breach wasn't extensive, with the company's engineers detecting the intrusion on the same day it happened. A Dell spokesperson declined to give out a number of affected acc

Tesla cars may come to India in a year’s time. Co-founder and CEO Elon Musk tweeted that the electric car maker plans to have “partial presence in India, Africa, and South America by the end of next year, with broader expansion in 2020.” Earlier, Musk tweeted that the country’s restrictive policy environment was proving to be a hurdle for local production. The government’s flip-flop on an electric vehicle policy hasn’t helped, with announcements ranging from 100% EV sales by 2030 to replacing 30% of conventional cars with battery-powered ones to statements such as an “EV policy was not required.” A Delhi startup has devised a solution to the city’s unbreathable air. Kurin Systems has won a patent for the “world’s largest as well as the strongest air purifier,” which, its co-founder Pavneet Singh Puri claims, can provide clean air to 75,000 people living in a 3 km radius. The 40-feet tall solar-powered device can purify 32 million cubic meters of air per day, using a mechanism

IBM, which has a market capitalization of $US114 billion ($160.7 billion), will pay $US190 per share in cash for Red Hat, a 62 percent premium to Friday's closing share price. Founded in 1993, Red Hat specializes in Linux operating systems, the most popular type of open-source software, which was developed as an alternative to proprietary software made by Microsoft   Headquartered in Raleigh, North Carolina, Red Hat charges fees to its corporate customers for custom features, maintenance, and technical support, offering IBM a lucrative source of subscription revenue. The acquisition illustrates how older technology companies are turning to deal-making to gain scale and fend off competition, especially in cloud computing, where customers using enterprise software are seeking to save money by consolidating their vendor relationships. IBM is hoping the deal will help it catch up with Amazon, Alphabet, and Microsoft in the rapidly growing cloud business. IBM shares have lost

It takes time, patience, and empathy to get to know a person on a deeper level. It can be difficult to make a real connection with someone when you first meet them. But when you’re able to easily break the ice with someone, you can start to build a meaningful friendship instantly! Check out these tips to get beyond the surface level. 1) Find something in common: Read her bio, check out their Instagram page or see what communities they're part of and look for similarities that you share. When you find something you both have in common, it will make it much easier to connect on a deeper level and build a true friendship based on things you both enjoy. 2) Ask open-ended questions: Instead of just the run-of-the-mill, “how are you?” or “what’s up?” questions, ask questions that go deeper and help you learn more about the person. Some suggestions are to ask about the pet in their profile picture, their cool sense of style, or anything they shared on their profile or in-person th

The answer can actually be found in Hollywood movies. In the 1957 film Desk Set, the entire audience research department in a company is about to be replaced by a giant calculator. It is a relief to the staff, however, when they find out that the machine makes errors, and so they get to keep their jobs, learning to work alongside the calculator. Fast forward to the 2016 film Hidden Figures. The human ‘computers’ at NASA are about to be replaced by the newly introduced IBM mainframe. The heroine, Dorothy Vaughan, decides to teach herself Fortran, a computer language, in order to stay on top of it. She ends up leading a team to ensure the technology performs according to plan. Fantasies and Facts These are not merely fantasies concocted by film studios. Granted, realistically, many jobs, especially those involving repetitive and routine actions, may succumb to automation for good. But the movies above do encourage us not to overrate computers and underrate humans. Delving deeper

1. Keras: Keras is an open source high-level neural network library written in Python. It was originally written by François Chollet in 2015 and developed by various developers. Keras is  capable of running on top of TensorFlow, Microsoft Cognitive Toolkit or Theano. Focused on being user-friendly, modular, and extensible. It was developed with a focus on enabling fast experimentation; It also allows users to productize deep models on smartphones (iOS and Android), on the web, or on the Java Virtual Machine. It offers a higher-level, a more intuitive set of abstractions that make it easy to develop deep learning models regardless of the computational backend use. Version updates:   https://github.com/keras-team/keras/releases Upcoming conference:   https://conferences.oreilly.com/artificial-intelligence 2.Python: Python is widely used as a general-purpose, high-level programming language. It was initially designed by Guido van Rossum in 1991 and developed by Python

Deep Learning (also known as deep structured learning or Hierarchical learning) is a subdivision of machine learning in Artificial Intelligence that has networks which are capable of learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. It deals with algorithms inspired by the structure and function of the brain, allowing computers to solve a host of complex problems that couldn't otherwise be tackled. Deep Learning is being widely used in industries to solve large number of problems like. Image Recognition: Deep Neural Nets are used to identify objects in an image.  Voice Generation: Products like Amazon Alexa uses deep learning to generate voice and interact with humans. Self Driving Vehicles: Google’s self driving car is based on Machine Learning and Deep Learning algorithms. It can drive at a precision of 98% in dark, while its raining and in high terrain areas. Produci