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Company received over 20,000 applications, and our client has decided to suspend the request collection. It will take up to 12 month to make the decision. Details: https://promo-bot.ai/media/humanoid_project/ Last week the manufacturer company of Promobot robots was seeking a face for a humanoid robot-assistant which will work in hotels, shopping malls and other crowded places. The company was ready to pay out to somebody willing to transfer the rights to use one’s face forever.

As of Monday, it appears that Promobot has stopped accepting applications for the opportunity. Additionally, further details regarding the project seem to have been removed from their site.

“The Promobot company wants to say thanks to everyone who responded to participation in the project. Today we have received over 20,000 applications and our client has decided to suspend the request collection… Those who didn’t have time to submit an application, please no worries, we are having more projects upcoming. Subscribe to our Instagram and stay tuned.” explained an update on the Promobot website.

On Friday, Alibaba Cloud announced in a social media post that its DAMO Academy has successfully developed a 3D stacked In-Memory Computing (IMC) chip.

Alibaba Cloud claims this is a breakthrough that can help overcome the von Neumann bottleneck, a limitation on throughput caused by the standard personal computer architecture. It meets the needs of artificial intelligence (AI) and other scenarios for high bandwidth, high capacity memory and extreme computing power. In the specific AI scenario tested by Alibaba, the performance of the chip is improved by more than 10 times.

With the outbreak of AI applications, the shortcomings of the existing computer system architecture are gradually revealed. The main problems are that, on the one hand, processing data brings huge energy consumption. Under the traditional architecture, the power consumption required for data transmission from memory unit to computing unit is about 200 times of that of computing itself, so the real energy consumption and time used for computing are very low.

Paradromics is a company developing brain computer interfaces that will help people with disabilities in communicating again. Their product will be the brain computer interface with the highest data rate ever developed. Will it compete with other companies like Neuralink or Kernel in the race to reading the brain?

0:00 Introduction to Paradromics.
1:45 The Product.
5:57 The Surgery.
7:41 Commercial availability.

Check out also this video on another Neuralink competitor, Kernel: https://youtu.be/DUICwT-fqt0

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Zindi is all about using AI to solve real-world problems for companies and individuals. And the South Africa-based crowd-solving startup has done that over the last three years they have been in existence.

Just last year a team of data scientists under Zindi used machine learning to improve air quality monitoring in Kampala as another group helped Zimnat, an insurance company in Zimbabwe, predict customer behavior — especially on who was likely to leave and the possible interventions that would make them stay. Zimnat was able to retain its customers by offering custom-made services to those who would have otherwise discontinued.

These are some of the solutions that have been realized to counter the data-centered challenges that companies, NGOs and government institutions submit to Zindi.

A new video released by nonprofit The Future of Life Institute (FLI) highlights the risks posed by autonomous weapons or ‘killer robots’ – and the steps we can take to prevent them from being used. It even has Elon Musk scared.

Its original Slaughterbots video, released in 2017, was a short Black Mirror-style narrative showing how small quadcopters equipped with artificial intelligence and explosive warheads could become weapons of mass destruction. Initially developed for the military, the Slaughterbots end up being used by terrorists and criminals. As Professor Stuart Russell points out at the end of the video, all the technologies depicted already existed, but had not been put together.

Now the technologies have been put together, and lethal autonomous drones able to locate and attack targets without human supervision may already have been used in Libya.

Meta, the company formerly known as Facebook is pulling the plug on its facial recognition program. The company is planning to delete more than one billion people’s individual facial recognition templates, and will no longer automatically recognize people’s faces in photos or videos as a result of this change, according to its own post. The use of facial recognition technology has a disparate impact on people of color, disenfranchising a group who already face inequality, and Facebook seems to be acknowledging this inherent harm. The Breakdown You Need to Know.

CultureBanx reported that Meta seems to always be embroiled in corporate drama and with intense scrutiny. When you add that to the growing concern from users and regulators that facial recognition space remains complicated, an exit makes sense. More than 600 million daily active users on Facebook had opted into the use of the face recognition technology.

Research shows commercial artificial intelligence systems tend to have higher error rates for women and black people. Some facial recognition systems would only confuse light-skin men 0.8% of the time and would have an error rate of 34.7% for dark-skin women. Just imagine surveillance being used with these flawed algorithms. A 2018 IDC report noted it expects worldwide spending on cognitive and AI systems to reach $77.6 billion in 2022.