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Rather than waiting for multiple crashes to happen at a location before intervening to improve road safety, a new study suggests we can identify dangerous areas proactively — by measuring cyclist stress levels as they navigate city streets.

The challenge: When designing a city’s transportation infrastructure, urban planners must balance the needs of drivers with the safety of pedestrians and cyclists. This is often done through surveys of local residents and best practices learned over time.

This process doesn’t always get it right, though, so sometimes cities have to install safety improvements, such as crosswalks, bike lanes, or stop lights, at dangerous intersections or stretches of road.

Artificial intelligence is unlike previous technology innovations in one crucial way: it’s not simply another platform to be deployed, but a fundamental shift in the way data is used. As such, it requires a substantial rethinking as to the way the enterprise collects, processes, and ultimately deploys data to achieve business and operational objectives.

So while it may be tempting to push AI into legacy environments as quickly as possible, a wiser course of action would be to adopt a more careful, thoughtful approach. One thing to keep in mind is that AI is only as good as the data it can access, so shoring up both infrastructure and data management and preparation processes will play a substantial role in the success or failure of future AI-driven initiatives.

According to Open Data Science, the need to foster vast amounts of high-quality data is paramount for AI to deliver successful outcomes. In order to deliver valuable insights and enable intelligent algorithms to continuously learn, AI must connect with the right data from the start. Not only should organizations develop sources of high-quality data before investing in AI, but they should also reorient their entire cultures so that everyone from data scientists to line-of-business knowledge workers understand the data needs of AI and how results can be influenced by the type and quality of data being fed into the system.

More than fine, actually. Much more, she says.

“This is major for me and my family,” she says. “Two years without me being in the hospital? Wow. We just can’t believe it. But we’re so grateful.”

She’s doing so well for so long that she’s officially no longer in the landmark study she volunteered for. That involved doctors taking cells out of her bone marrow, and editing a gene in the cells in their lab, using the revolutionary gene-editing technique known as CRISPR. CRISPR allows scientists to make very precise changes in DNA much more easily than ever before. Many think it will revolutionize medicine.

LCLS-II will be able to produce images of atoms a million times a second.

Scientists at the Department of Energy’s SLAC National Accelerator Laboratory are putting the finishing touches on what will become the world’s brightest laser. Called the Linac Coherent Light Source II (LCLS-II), it will be 10,000 times brighter than the brightest laser before itself, once it becomes operational.

Currently, under construction about 30 feet (9 meters) underground close to Stanford University, the laser promises to help physicists unlock some of the fundamental unknowns about our universe. The laser apparatus extends for about 2 miles (3.2 km) in a specially excavated tunnel.

Its predecessor, Linac Coherent Light Source I (LCLS-I) went live in 2009 and is able to create a beam capable of 120 light pulses a second. LCLS-II, however, crushes this record by being able to produce 1 million pulses per second.

“I think it’s absolutely fair to say that the LCLS-II will usher in a new era of science,” Dr. James Cryan, a staff scientist at SLAC told CNET in an exclusive tour of the new facility.

A lawsuit filed in a California federal court in June 2020 claims that Google Chrome’s “Incognito Mode” is not as private as people think.

Now, Alphabet CEO Sundar Pichai will need to answer questions over whether Google continues to track users even when they’ve activated the browser’s private browsing mode, as first reported by Bloomberg Law.

The case, Brown et al v. Google LLC, was filed on June 2, 2020, assigned to Judge Lucy H. Koh in a U.S. District Court in San Jose, California.

A deposition order was issued on Monday 27 for Pichai to testify in the case for up to two hours, as the plaintiffs say that Pichai has “unique, personal knowledge of relevant issues relating to the Chrome browser and privacy concerns.” Earlier in the case, the court also issued an order for Google’s Chief Marketing Officer, Lorraine Twohill, to answer questions about how the tech giant promoted the browser’s functionality.

Google’s legal team tried to shield Pichai from testifying in the case. They claimed lower-level employees that worked directly on the Chrome browser were better suited to answer questions about how the browser’s private browsing functionality works.