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Implants and tiny machines could eventually be working inside our bodies to help treat disease or monitor activity, but letting them communicate is tricky. Now scientists at EPFL have developed a system whereby devices can communicate by releasing molecules into a patient’s bloodstream.

Biomedical implants play a key role in healthcare, monitoring activity in organs like the heart or brain, while recent research is investigating how nanoscale robots might one day swim or crawl through the body to fight disease. But these systems have a communication issue.

Running wires through the body is not only impractical, it’s an infection risk. And wireless technologies like radio, light and Bluetooth don’t travel through human tissue very efficiently, drastically limiting their range.

Artificial general intelligence, or AGI, has become a much-abused buzzword in the AI industry. Now, Google DeepMind wants to put the idea on a firmer footing.

The concept at the heart of the term AGI is that a hallmark of human intelligence is its generality. While specialist computer programs might easily outperform us at picking stocks or translating French to German, our superpower is the fact we can learn to do both.

Recreating this kind of flexibility in machines is the holy grail for many AI researchers, and is often speculated to be the first step towards artificial superintelligence. But what exactly people mean by AGI is rarely specified, and the idea is frequently described in binary terms, where AGI represents a piece of software that has crossed some mythical boundary, and once on the other side, it’s on par with humans.

Last year Swiss Re and Waymo launched a research partnership to define a standard for assessing the risk of autonomous vehicles. One year after that announcement, they are publishing a study that uses real-world data to compare the safety performance of autonomous vs human-driven vehicles. Notably, this is the first time that a robust and significant liability claims dataset is being used to compare the safety performance of autonomous and human drivers.

In fact, Swiss Re was able to produce mileage-and zip-code-calibrated (human driver) private passenger vehicle baselines, against which Waymo’s third party liability insurance claims data were compared. Swiss Re’s baselines, for the specific areas considered, are extremely significant, as they come from over 600,000 claims and over 125 billion miles of exposure.

The results of the research are exciting both for the insurance industry and the safety community alike: in over 3.8 million miles driven without a human being behind the steering wheel in rider-only mode, the Waymo Driver (Waymo’s fully autonomous driving technology) incurred zero bodily injury claims in comparison with the human driver baseline of 1.11 claims per million miles. The Waymo Driver also significantly reduced property damage claims to 0.78 claims per million miles in comparison with the human driver baseline of 3.26 claims per million miles.

Backlash on using AI to redub video game lines.


Naruto’s latest fighting game faces criticism for some questionable voiceover lines, leading to accusations of AI manipulation.

Naruto X Boruto: Ultimate Ninja Storm Connections is the newest brawler based on the hugely popular anime series (which itself adapts the hugely popular manga). Rather than purely adapting one part of the anime, however, Naruto X Boruto skims through almost the entire saga and adapts events already covered in previous games. But when comparing the new game’s dub to those previous entries, fans have been left confused.

In this video, we’ll explore the potential of Q* – a new way of computing that has the potential to revolutionize AI.

Q* is a new way of computing that offers a number of advantages over traditional computer systems. We’ll explore the ways in which Q* can improve the way we work with AI, and the ways in which it has the potential to change the way we live our lives. If you’re interested in the future of AI, this video is a must-watch!

Along with Xpeng and Li Auto, it is one of the top three Chinese premium EV assemblers.


NIO Newsroom.

As SCMP reports, the Shanghai-based company, which competes with Tesla and other premium EV brands, said it had already trimmed 10 percent of its staff earlier this month to improve efficiency and competitiveness.

“DT-MRI captures these abnormal connections that lead to the symptoms that children with autism often have, such as impaired social communication and repetitive behaviors.”

When it comes to autism, early diagnosis is key for effective intervention and support.


When it comes to autism, early diagnosis is key for effective intervention and support. Now, a newly created artificial intelligence (AI) system has been found to have the ability to diagnose children with autism between the ages of 24 and 48 months with a rate of 98.5 percent accuracy.

DT-MRI scans used