Feeding the Monster - Generative AI and the Rest of Us
Scared of ChatGPT? Don't be. It's only a wee puppy that just wants to play. The hellhound it may grow into is another matter...
Artificial General Intelligence - A closer look
While Alpha Go‘s success at beating the world‘s best human Go player has recently been surpassed by a new implementation of the AI used beating the „old“ one in 100:0 games, that machine is still only able to play Go.
Edge Computing and AI
AI isn't the sole turning point in IT right now. Another revolution is in the "Internet of Things" or IoT. The idea behind IoT is to give an IP address to tiny sensors and devices that aren't smartphones, tablets, workstations or cars. The smart home, if it wants to become mainstream, will require IoT instead of the current status quo: dozens of proprietary standards that don't interoperate.
Supervised Learning via Crowdsourcing
It isn't a new concept that training deep learning systems requires massive amounts of data. In many cases, this data exists in the form of database content or even web crawling output. AI systems for medical applications can often be trained with gigabytes of readily available data.
Poor Journalism doesn't help AI
There are bones to pick between me and most tech journalists. As always, there are exceptions, but many tech journalists simply don't seem to have an inkling of knowledge on the subjects they write on.
Big AI is watching you!
Last month, I wrote about a newly developed smart sensor that uses sound and AI to identify activities. Nest, a Google company, has now upped the ante.
Dreaming of "zero Inbox"?
"I have a dream"… about an AI-powered email filter that has a 100% hit rate on spam, prioritizes and classifies the remaining email and possibly answers simple queries automatically.
AI for Work
While many professionals still have issues in wrapping their brain about what AI is and what it can do (and can't do), there are folks out there going through "the great awakening"
Google's TPU 2.0
Google made their AI framework TensorFlow open-source in late 2015. Most AI frameworks use relatively inexpensive and widely available GPU (Graphics Processing Unit) devices to accelerate AI-related filtering, as doing this with regular CPUs isn't very cost effective (Watts/Output). But even GPU's - while much more efficient that CPU's for this type of activity - can be beat by differentiated hardware.
The Real Threat of AI
Quite a number of well-known tech leaders have campaigned for government control of artificial intelligence technology.
Synthetic Sensors use AI for the Smart Home
I just came across a fascinating Carnegie Mellon University project. These sensor boards (CMU calls them Supersensors) use a plethora of different environmental sensors,
The Status Quo of understanding AI
The one-day DocVille conference that takes place every year - usually in Brussels - is a meeting of ECM and Capture technology suppliers as well as (very few) end customers. The format is simple: a keynote at the start, 4-5 discussion table sessions and networking all through the day.
As a change from the previous years, AI was a topic at not one but two of the table sessions (up from zero the previous year).
Drone reconnaissance - not without AI!
With French drone manufacturer Parrot offering consumer-grade drones with commercial markets in mind, it becomes quite obvious that the hurdle for this market is not building a smarter Drone, but working with the flood of data it will generate.
Cognitive augmentation and AI Design
Early studies in augmented reality (AR) were driven by Google Glass and similar devices that people would wear on their head. A good application of AR in logistics is the visual augmentation of a "pick list", where the person getting items from shelving is shown the next item, the location and arrows to that item in the projection they see through the AR glasses.
AI for Supply Chain - not without RPA!
ERP and Supply Chain management software suppliers are finding more uses for AI to augment the intelligence their systems generates for users.
Keeping AI "safe"
Isaac Asimov, prolific writer of Science Fiction and Non-Fiction books (more than 500!) and father of the term "robotics" realized very early on that "intelligent" robots could cause as much harm as good, if "programmed" the wrong way.
TED Talk on IBM Watson
Here is a fascinating talk from a 2013 TED conference by Ken Jennings about his loss in 2011 to IBM's Watson, playing Jeopardy. This was a milestone not only for him personally - being replaced by a machine "at the only thing you're really good at" - but for the entire field of AI.
Much has happened in the field since 2013, but Mr. Jenning's talk really underlines the significance of AI in terms of the human condition.
Video Dragnet via AI soon a reality?
A dragnet investigation is an attempt to find a person or thing (such as a car) by defining a certain area and the physical aspects of the person or thing sought and systematically checking every matching person/thing one comes across.
And everyone remembers the 1987 film by the same name, right? Right?