One of the most challenging area of Machine Learning is the one that regards the language and it is known as Natural Language Processing (NLP). It is true that all the area of Machine Learning can be complex and challenging at some level, but NLP is…
Meta (formerly Facebook) has launched PyTorch Live, a set of tools for developing AI-powered experiences on Android and iOS.
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.
Some users over on Reddit were shocked by how empathetic they felt to Ameca’s many expressions. “This is actually quite charming,” one user wrote.
But the most common comparison — of course — was to the Terminator.
“Neat!” one Redditor commented. “Is this the Hunter-Killer or Human Infiltration model?”
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.
These are the buzziest talking points and biggest developments in enterprise automation for the next year.
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.
The bot is a platform that will used to test more robotic technologies.
A U.K.-based company Engineered Arts has developed a humanoid robot that can display human-like expressions with ease. In a short video released on YouTube, the company shows off its most advanced humanoid, dubbed Ameca, which is initially a platform for testing robotic technologies.
With new developments in artificial intelligence, machines are learning to not only do human tasks but also go further beyond. However, for humans and machines to work together more fluidly, machines need to occupy the same space and humanoids are the best platforms to do this. Researchers have been working to make humanoids more interactive by teaching them non-verbal communication and Ameca is quite a milestone in this area.
As is seen in the video above, the humanoid appears to have woken up in a robotic laboratory while an actual human is busy working in the background. The robot moves its arms, shows a flurry of expressions in a matter of seconds, and even expresses amazement at how its hands and fingers move fluidly before looking at the camera quite surprised. The teaser is a sufficient demonstration of what the robot can do when it comes to the upper half of the body.
