The latest Windows patch is breaking even more PCs with antivirus installed


The last major Windows update broke some systems with particular antivirus software installed, and it's seemingly getting worse. Earlier this week we reported that Microsoft halted updates to Windows PCs running Sophos and Avast's security solutions, following user complaints that their machines were locking up or failing to boot. Since then, the list of known issues for the rogue update was itself updated to acknowledge compatibility issues with Avira and ArcaBit antivirus installed, with Microsoft temporarily blocking updates to those affected systems, too. Today, Ars Technica noticed that Microsoft is investigating compatibility issues for systems with McAfee antivirus installed, though it hasn't started blocking the April 9 update from those PCs just yet. Windows 7 and 8.1 computers can fall prey to the bug, along with some Windows Server installations.

We've been warned about AI and music for over 50 years, but no one's prepared


AI is capable of making music, but does that make AI an artist? As AI begins to reshape how music is made, our legal systems are going to be confronted with some messy questions regarding authorship. Do AI algorithms create their own work, or is it the humans behind them? What happens if AI software trained solely on Beyoncé creates a track that sounds just like her? "I won't mince words," says Jonathan Bailey, CTO of iZotope. "This is a total legal clusterfuck."

Former student destroys 59 university computers using USB Killer device


An Indian national in the US has pleaded guilty this week to destroying 59 computers at the College of St. Rose, in New York, using a weaponized USB thumb drive named "USB Killer" that he purchased online. The incident took place on February 14, according to court documents obtained by ZDNet, and the suspect, Vishwanath Akuthota, 27, filmed himself while destroying some of the computers. "I'm going to kill this guy," "it's dead," and "it's gone. Boom," Akuthota said on recordings obtained by the prosecution. The suspect destroyed 59 computers, but also seven computer monitors and computer-enhanced podiums that had open USB slots.

Scientists create programmable circuits in human cells that could lead to 'biocomputers'

Daily Mail

Researchers say they've successfully created a more powerful computer-like human cell that could eventually be used to help monitor one's health or even fight against cancer and other illnesses. Using the gene-editing tool CRISPR-Cas9, researchers were able to model a human cell after a computer and make what they are referring to as a'program scalable circuits.' 'This cell computer may sound like a very revolutionary idea, but that's not the case," said Martin Fussenegger, Professor of Biotechnology and Bioengineering at the Department of Biosystems Science and Engineering at ETH Zurich in Basel. 'The human body itself is a large computer. Its metabolism has drawn on the computing power of trillions of cells since time immemorial.'

A Deep Dive into Deep Learning


On Wednesday, March 27, the 2018 Turing Award in computing was given to Yoshua Bengio, Geoffrey Hinton and Yann LeCun for their work on deep learning. Deep learning by complex neural networks lies behind the applications that are finally bringing artificial intelligence out of the realm of science fiction into reality. Voice recognition allows you to talk to your robot devices. Image recognition is the key to self-driving cars. But what, exactly, is deep learning?

Bringing Deep Learning for Geospatial Applications to Life


Whenever we start to talk about artificial intelligence, machine learning, or deep learning, the cautionary tales from science fiction cinema arise: HAL 9000 from 2001: A Space Odyssey, the T-series robots from Terminator, replicants from Blade Runner, there are hundreds of stories about computers learning too much and becoming a threat. The crux of these movies always has one thing in common: there are things that computers do well and things that humans can do well, and they don't necessarily intersect. Computers are really good at crunching numbers and statistical analysis (deductive reasoning) and humans are really good at recognizing patterns and making inductive decisions using deductive data. Both have their strengths and their role. With the massive proliferation of data across platforms, types, and collection schedules, how are geospatial specialists supposed to address this apparently insurmountable task?

Artificial intelligence: Professor Toby Walsh on 10 ways society will change by 2050


Go player Lee Sedol (R) during the third game of the Google DeepMind Challenge Match against Google-developed supercomputer AlphaGo. Leading Australian artificial intelligence scientist Professor Toby Walsh is warning that we are "sleepwalking" into an AI future in which billions of machines and computers will be able to think. Professor Walsh, from the University of New South Wales, is calling for a national discussion about whether society needs to adopt clear boundaries and guidelines around how AI is developed and how it's used in our lives. In his book It's Alive: Artificial Intelligence From The Logic Piano to Killer Robots, he has highlighted key questions in a series of predictions that describe how our future could be far better or far worse because of AI. Here's how he thinks society might change by 2050 thanks to artificial intelligence.

Want To Know How Far Artificial Intelligence Has Come? Just Look At CAPTCHA


We're going to look now at the state of artificial intelligence this month in All Tech Considered. You've probably seen that statement online alongside a prompt that says something like, type the letters you see, or, click on all the stoplights. Do it right, and you get to go on to the next page. These games are developed by Google. Researcher Jason Polakis of the University of Illinois at Chicago has proven that, in fact, robots are pretty good at CAPTCHAs.

Data Transformation with Matillion for Machine Learning


Industry experts, competitors, and even your customers are talking about machine learning and artificial intelligence. The terms, while used widely and interchangeably, are often misunderstood and carry a narrow definition. Both machine learning and artificial intelligence have distinct and practical applications for your business – not only driverless cars! Machine learning is the process of building and training models to process data. In this capacity, your models are learning from your data to make better predictions.

How can quantum computing be useful for Machine Learning


If you've heard of quantum computing, you might be excited about the possibility of applying it to machine learning applications. I work at Springboard, and we recently launched a machine learning bootcamp that includes a job guarantee. We want to make sure our graduates are exposed to cutting-edge machine learning applications -- so we put together this article as part of our research into the intersection of quantum computing and machine learning. Let's start by examining the difference between quantum computing and classical computing. In classical computing, your data is stored in physical bits and it is binary and mutually exhaustive: a bit is either in a 0 state or in a 1 state and it cannot be both at the same time.