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

Brain Mapping Tech Inflates Tissue 20x to Reveal Remarkable Detail

“ExM can be used to explore neural connectivity in 3D with spatial precision sufficient for resolving individual synaptic connections,” the authors say. “If you could reconstruct a complete brain circuit, maybe you could make a computational model of how it generates complex phenomena like decisions and emotions,” says Boyden, “you could potentially model the dynamics of the brain.”

Source: Brain Mapping Tech Inflates Tissue 20x to Reveal Remarkable Detail

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

The Unsettling Performance That Showed the World Through AI’s Eyes | WIRED

As computer vision quietly spreads through our lives and landscapes, it’s entertaining and practical, powerful and flawed, amusing and disturbing. The same goes for AI as a whole. You can’t see it. But it’s everywhere.

“There were no conclusions,” said Henry Dills, a photographer and cellist who watched the performance dressed in a brown sport coat and a white scarf that reached past his waist. “These machines are starting to massively overshadow us. It used to be God. Now it’s machines.”

Source: The Unsettling Performance That Showed the World Through AI’s Eyes | WIRED

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

What happens when the Trump administration ignores AI | VentureBeat | AI | by Rishon Blumberg, 10x Management

“Ignoring AI now means the United States will lag behind more forward-thinking countries that invest in AI today. While the United States waits “50 to 100 years” for AI to become a reality of life, other countries will be doing the hard work, laying the necessary infrastructure, and gaining from machine learning, and the human learning that goes along with it.”

Source: What happens when the Trump administration ignores AI | VentureBeat | AI | by Rishon Blumberg, 10x Management