Lifeboat Foundation

An artificial intelligence can now predict the location and rate of crime across a city a week in advance with up to 90 per cent accuracy. Similar systems have been shown to perpetuate racist bias in policing, and the same could be true in this case, but the researchers who created this AI claim that it can also be used to expose those biases.

Ishanu Chattopadhyay at the University of Chicago and his colleagues created an AI model that analysed historical crime data from Chicago, Illinois, from 2014 to the end of 2016, then predicted crime levels for the weeks that followed this training period.

The model predicted the likelihood of certain crimes occurring across the city, which was divided into squares about 300 metres across, a week in advance with up to 90 per cent accuracy. It was also trained and tested on data for seven other major US cities, with a similar level of performance.

This is Nextracker’s third new factory, adding to the company’s new Texas and Arizona factories announced in April and May, towards building 10 GW of annual domestic solar tracker capacity. Courtesy of Nextracker — by Pallavi Singla.

Nextracker LLC, the global market leader in utility-scale solar trackers, and BCI Steel, a Pittsburgh-based steel fabricator, this week announced the reopening of the historic Bethlehem Steel manufacturing factory in nearby Leetsdale to produce solar tracker equipment for large-scale solar power plants.

The steel processing plant will incorporate both BCI Steel’s new and reshored equipment shipped to the U.S. from factories in Malaysia and Brazil. Solar tracker products produced at the factory will serve rapidly growing solar markets in Pennsylvania, Indiana, New York, and Ohio.

Continue reading “Nextracker & BCI Steel Renovate Abandoned Pittsburgh Steel Factory to Serve Growing U.S. Utility-Scale Solar Market” »

After two years of disruptions, sales of industrial robots increased worldwide in 2021, said the IFR. The organization said demand in Asia and Australia grew the most.

𝐅𝐥𝐮 𝐯𝐚𝐜𝐜𝐢𝐧𝐞𝐬 𝐥𝐢𝐧𝐤𝐞𝐝 𝐭𝐨 𝟒𝟎% 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐫𝐢𝐬𝐤 𝐨𝐟 𝐀𝐥𝐳𝐡𝐞𝐢𝐦𝐞𝐫’𝐬 𝐝𝐢𝐬𝐞𝐚𝐬𝐞

2D material synthesised from nanocluster fullerene for the first time.

According to the best measures we’ve got, a set of benchmarks called MLPerf, machine learning systems can be trained nearly twice as quickly they could last year. It’s a figure that outstrips Moore’s Law by quite a ways.

Google’s Threat Analysis Group (TAG) blocks as many as 36 malicious domains operated by hack-for-hire groups from India, Russia and UAE.

Shadow IT refers to the practice of users deploying unauthorized technology resources in order to circumvent their IT department.

Shadow IT refers to the practice of users deploying unauthorized technology resources in order to circumvent their IT department. Users may resort to using shadow IT practices when they feel that existing IT policies are too restrictive or get in the way of them being able to do their jobs effectively.

An old school phenomenon

Shadow IT is not new. There have been countless examples of widespread shadow IT use over the years. In the early 2000s, for example, many organizations were reluctant to adopt Wi-Fi for fear that it could undermine their security efforts. However, users wanted the convenience of wireless device usage and often deployed wireless access points without the IT department’s knowledge or consent.

A former Canadian government employee pleaded guilty in the U.S. to charges related to his involvement with the NetWalker ransomware syndicate.