Close
Colorado's Unemployment Insurance Program Suffers Computer Problems

Repeated computer problems over the past few days with Colorado's Unemployment Insurance program  has made it extremely difficult for the state's unemployed workers to use the program's online system to file claims for either initial or continued benefits, according to various news reports.

Colorado government officials say that claimants can still use an automated phone system to file for continued benefits, and that new claimants can call a dedicated number. Reports are, however, that the phone lines have been overwhelmed because of the online problem, causing a lot of frustration and anger.

As of this morning, it was not clear when the online system problem will be resolved, although the hope was that it would be fixed by today.

Unemployment offices throughout the US have been having computer problems, as I blogged about here in January.

Finally, as noted in this Denver Post story, the current unemployment benefits computer system was supposed to be replaced in 2005, but after spending $24.2 million for a replacement, it was scrapped because it didn't work.

The Conversation (0)

The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

10 min read

This computer rendering depicts the pattern on a photonic chip that the author and his colleagues have devised for performing neural-network calculations using light.

Alexander Sludds
DarkBlue1

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

The technique that has empowered these stunning developments is called deep learning, a term that refers to mathematical models known as artificial neural networks. Deep learning is a subfield of machine learning, a branch of computer science based on fitting complex models to data.

Keep Reading ↓ Show less