‘Machine Scientists’ Distill the Laws of Physics From Raw Data | Quanta Magazine

Kutz believes machine scientists are bringing the field to the cusp of what he calls “GoPro physics,” where researchers will simply point a camera at an event and get back an equation capturing the essence of what’s going on.

Source: ‘Machine Scientists’ Distill the Laws of Physics From Raw Data | Quanta Magazine

MIT Researchers Just Discovered an AI Mimicking the Brain on Its Own

While AI has yet to attain human-like cognition, artificial neural networks that replicate language processing — a system thought to be a critical component behind higher cognition — are starting to look surprisingly similar to what we see taking place in the brain.

Source: MIT Researchers Just Discovered an AI Mimicking the Brain on Its Own

New Artificial Intelligence System Automatically Evolves to Evade Internet Censorship | College of Computer, Mathematical, and Natural Sciences

The researchers developed a tool called Geneva (short for Genetic Evasion), which automatically learns how to circumvent censorship. Tested in China, India and Kazakhstan, Geneva found dozens of ways to circumvent censorship by exploiting gaps in censors’ logic and finding bugs that the researchers say would have been virtually impossible for humans to find manually.

Source: New Artificial Intelligence System Automatically Evolves to Evade Internet Censorship | College of Computer, Mathematical, and Natural Sciences

Check Your Halloween Candy For Malicious Payloads | Hackaday

We are living in the future.

“[MG] has produced a large quantity of these small devices, packaging them in anti-static wrappers. The wrappers contain a note instructing children to insert them into their parent’s work computers to access “game codes”, and to share them with their friends while hiding them from adults.”

Source: Check Your Halloween Candy For Malicious Payloads | Hackaday

My 20-Year Experience of Software Development Methodologies – zwischenzugs

‘Coming up with useful software methodologies is not easy. The difficulty lies not in defining them, but in convincing others to follow it. Much of the history of software development revolves around this question: how does one convince engineers to believe particular stories about the effectiveness of requirements gathering, story points, burndown charts or backlog grooming? Yet when adopted, it gives organisations immense power, because it enables distributed teams to cooperate and work towards delivery.

Source: My 20-Year Experience of Software Development Methodologies – zwischenzugs

I wrote the SQL query in 5 mins. Why does my engineer say it will take a month? – WTF Is My Engineer Talking About

[…] as the saying goes, a little knowledge is a dangerous thing. Much as I’m not a marketing professional just because that witty tweet I wrote that one time got 75 RT’s, you’re not an engineer because you sent an HTML email that looks great in all email clients except Outlook.

Let’s say you wrote an email template that you already sent out to some users, and you want to add a page with the same information to your website. Or you wrote a SQL query that you use for some analytics purposes and now you want your engineer to add something similar to the product – maybe as part of a dashboard, or maybe as a core feature. Easy, right? You already did the hard part!

Not necessarily. That query might be fine for one-off use, but may not be suitable for a production environment. Here are just a few reasons it might not be that simple.

Source: I wrote the SQL query in 5 mins. Why does my engineer say it will take a month? – WTF Is My Engineer Talking About

Researchers Build Artificial Synapse Capable of Autonomous Learning | University of Arkansas

Researchers from France and the University of Arkansas have created an artificial synapse capable of autonomous learning, a component of artificial intelligence. The discovery opens the door to building large networks that operate in ways similar to the human brain.

Source: Researchers Build Artificial Synapse Capable of Autonomous Learning | University of Arkansas

Pushing A Trillion Row Database With GPU Acceleration

“There is an arms race in the nascent market for GPU-accelerated databases, and the winner will be the one that can scale to the largest datasets while also providing the most compatibility with industry-standard SQL.

MapD and Kinetica are the leaders in this market, but BlazingDB, Blazegraph, and PG-Strom also in the field, and we think it won’t be long before the commercial relational database makers start adding GPU acceleration to their products, much as they have followed SAP HANA with in-memory processing.”

Source: Pushing A Trillion Row Database With GPU Acceleration