Information Technology


Warren Spector previews 'System Shock 3'

Engadget

Tonight at the Game Developers Conference, Warren Spector showed off a "pre-alpha" glimpse of System Shock 3 that's being developed using the Unity engine. Naturally, the SHODAN AI is back and up to no good, but there's very little else to go on in terms of detail. Spector spoke during the Unity press conference and discussed how its technology helped the team create a world full of "robots, mutants and the dead" that impresses feelings of fear, horror and dread upon the player. It's carefully using "intense, focused light" to help achieve the right look, press play and see if they've got it right so far. Richard's been tech-obsessed since first laying hands on an Atari joystick.


Quantum Computers Can Now Do Machine Learning - We Just Need To Build One That Works

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IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don't have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum computers will be able to map data at a far more sophisticated level than any classical computer. Somewhat ironically, the testing was done using modelling of only two qubits simulated on a classical computer, because that's the current hardware capability available. There are no quantum computers because qubits can't stay in an entangled state for more than a few hundred microseconds, even in carefully controlled laboratory conditions. They break down into decoherence and can no longer be used to perform calculations in parallel, the feature of quantum computing that will give it awesome processing power.


How to use process data mining to improve DevOps

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DevOps combines the information technology and software development teams and increases communication and collaboration between the two groups. With DevOps, then, it becomes possible to adopt an approach to project management that allows for shorter times between new versions of apps or other products. As such, DevOps encourages continual evolution brought about by team or client needs and feedback. Something called process data mining -- analysing large amounts of data about processes and taking action accordingly -- could enhance DevOps practices in several ways. Data mining involves looking through collections of information and identifying patterns.


No, Flickr didn't hand your photos over to corporations for machine learning Digital Photo Help

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Earlier this week, Flickr started taking heat across the web after it was specifically mentioned in a report from NBC News that took a deep dive into the'dirty little secret' of using Creative Commons images to help train facial recognition algorithms. The report mentioned multiple datasets used to help companies train machine learning algorithms to better comprehend diversity in facial recognition programs, but one dataset in particular was emphasized and elaborated on: IBM's'Diversity in Faces' set that was derived and iterated upon from more than 100 million Creative Common images gathered by Yahoo and released for research purposes back in 2014. Almost immediately, users around the web started raining down critical comments. Others, such as Flickr's own Don MacAskill, chimed in as well to help clarify the situation. The issue isn't that Flickr is handing over your photos for free to corporations looking to train their artificial intelligence algorithms.


AI can help alleviate current skills gap facing security teams: Vikas Arora, IBM India - Express Computer

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Enterprise security has always been a cat and mouse game, with cyber adversaries constantly evolving their attack systems to get past defenses. Can AI based systems help in warding off new age threats and zero day attacks. To get a perspective, we spoke with Vikas Arora, IBM Cloud and Cognitive Software Leader, IBM India/South Asia, who shares his view on how AI can impact enterprise security. What are your views on the cyber security landscape in India? Which sectors do you think are the most vulnerable today?


How To Work In Data Science, AI, Big Data

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In summer 2013, I interviewed for a lead role in the data science and analytics team at tech-for-good company JustGiving. During the interview, I said I planned to deliver batch machine learning, graph analytics and streaming analytics systems, both in-house and in the cloud. A few years later, my former boss Mike Bugembe and I were both presenting at international conferences, winning awards and becoming authors! Here is my story, and what I learnt on the journey -- plus my recommendations for you. I've always been interested in artificial intelligence (AI), machine learning (ML) and natural language processing (NLP).


3 Simple Ways to Make Your eCommerce Store More Personalized

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This article originally appeared on The StoreYa Blog and has been republished with permission. Find out how to syndicate your content with B2C.


Nvidia AI turns sketches into photorealistic landscapes in seconds

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Today at Nvidia GTC 2019, the company unveiled a stunning image creator. Using generative adversarial networks, users of the software are with just a few clicks able to sketch images that are nearly photorealistic. The software will instantly turn a couple of lines into a gorgeous mountaintop sunset. This is MS Paint for the AI age. Called GauGAN, the software is just a demonstration of what's possible with Nvidia's neural network platforms.


Tinder finally ditches controversial scoring system it used to create matches based on desirability

Daily Mail

Tinder will no longer rely on a controversial method of sorting users based on an internal'desirability' score, according to a recent announcement from the company. Instead, the popular dating app's new algorithm will prioritize its patrons based on one overarching factor: volume of usage. The hidden ranking system that Tinder previously relied on assigned scores to users based on how many people have liked their profile. Tinder will no longer rely on a controversial method of sorting users based on an internal'desirability' score, according to a recent announcement from the company. According to the company, Tinder has matched 30 billion users around the world.


The $140 smart home device that lets you create custom scents to match your mood

Daily Mail

There are a lot of things to love about Moodo. After checking it out at CES 2019 in Las Vegas, I was able to try out the device in my own home a few months later and put it to the real test - an apartment with roommates and multiple pets, including two cats and three ferrets. Setup was simple and straightforward, which is ideal with a device that's geared toward the average consumer. It was as easy as plugging in and connecting to the wifi. I love that each scent quadrant is adjustable - you can ramp up Divine Rose, for example, so it becomes the dominant smell, while still holding onto hints of the other scents.