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Category: robotics/AI – Page 1,406

White House unveils artificial intelligence ‘Bill of Rights’

The Biden administration unveiled a set of far-reaching goals Tuesday aimed at averting harms caused by the rise of artificial intelligence systems, including guidelines for how to protect people’s personal data and limit surveillance.

The Blueprint for an AI Bill of Rights notably does not set out specific enforcement actions, but instead is intended as a White House call to action for the U.S. government to safeguard digital and civil rights in an AI-fueled world, officials said.

“This is the Biden-Harris administration really saying that we need to work together, not only just across government, but across all sectors, to really put equity at the center and civil rights at the center of the ways that we make and use and govern technologies,” said Alondra Nelson, deputy director for science and society at the White House Office of Science and Technology Policy. “We can and should expect better and demand better from our technologies.”

AGI Laboratory moving towards artificial general intelligence?

Moving towards Artificial General Intelligence?

Contact:

The following are available for interview:

Kyrtin Atreides — Norn COO and co-inventor.

David J Kelley — Norn founder and originator.

Frits Israel — Norn CEO

To see the system “thinking” live, interview the Norn creators, or CEO, please contact:

Continue reading “AGI Laboratory moving towards artificial general intelligence?” | >

AI That Can Learn Patterns of Human Language

Summary: A new artificial intelligence model automatically learns higher-level language patterns that can apply to different languages, enabling it to achieve better results.

Source: McGill University.

Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way humans do.

Can AI change the meaning of being human? (w/ Geordie Rose, Sanctuary AI)

Humanoid artificial intelligence is coming and there’s a good chance it may come to life in Vancouver.

That’s because some of the brains at work creating AI – human-like AI – live and work here. The odds that they will succeed are high, they have an amazing track record. One of those brains is the mastermind behind the development of quantum computing that has manifested itself into the company known as D-Wave.

At the core of the development on humanoid AI sits an existential question: what does it mean to be human? What motivates us, how do we decide right from wrong and whose morals constitute the foundation of the programming of the machine that will self-learn? These are just a few of the questions that surround what many believe will be the last great human discovery.

We invited Geordie Rose of Sanctuary AI to join us for a Conversation That Matters about artificial intelligence – why, what, when, where and how soon.

Simon Fraser University’s Centre for Dialogue presents Conversations That Matter. Join veteran broadcaster Stuart McNish each week for an important and engaging Conversation about the issues shaping our future.

Please become a Patreon subscriber and support the production of this program, with a $1 pledge https://goo.gl/ypXyDs ctm242 #artificialintelligence #robotics #automation

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Watch Live Human Brain Cells in a Dish Learn To Play Pong

Live biological neurons show more about how a brain works than AI ever will.

Scientists have shown for the first time that 800,000 brain cells living in a dish can perform goal-directed tasks. In this case, they played the simple tennis-like computer game, Pong. The results of the Melbourne-led study are published today (October 12) in the journal Neuron.

Now the researchers are going to investigate what happens when their DishBrain is affected by medicines and alcohol.

DeepMind AI finds new way to multiply numbers and speed up computers

An artificial intelligence created by the firm DeepMind has discovered a new way to multiply numbers, the first such advance in over 50 years. The find could boost some computation speeds by up to 20 per cent, as a range of software relies on carrying out the task at great scale.

Matrix multiplication – where two grids of numbers are multiplied together – is a fundamental computing task used in virtually all software to some extent, but particularly so in graphics, AI and scientific simulations. Even a small improvement in the efficiency of these algorithms could bring large performance gains, or significant energy savings.

The biggest number in the world Agnijo Banerjee at New Scientist Live this October.

AI equal to humans in text-message mental health trial

UW Medicine researchers have found that algorithms are as good as trained human evaluators at identifying red-flag language in text messages from people with serious mental illness. This opens a promising area of study that could help with psychiatry training and scarcity of care.

The findings were published in late September in the journal Psychiatric Services.

Text messages are increasingly part of mental health care and evaluation, but these remote psychiatric interventions can lack the emotional reference points that therapists use to navigate in-person conversations with patients.

Team uses digital cameras, machine learning to predict neurological disease

In an effort to streamline the process of diagnosing patients with multiple sclerosis and Parkinson’s disease, researchers used digital cameras to capture changes in gait—a symptom of these diseases—and developed a machine-learning algorithm that can differentiate those with MS and PD from people without those neurological conditions.

Their findings are reported in the IEEE Journal of Biomedical and Health Informatics.

The goal of the research was to make the process of diagnosing these diseases more accessible, said Manuel Hernandez, a University of Illinois Urbana-Champaign professor of kinesiology and who led the work with graduate student Rachneet Kaur and industrial and enterprise systems engineering and mathematics professor Richard Sowers.

Web3, The Metaverse: Exploring A Fast, Sustainable, And Operationally Secure “QNTYM Railway” For The Masses

QNTYM Railway is a ‘software level’ application that can be deployed on current hardware meaning there will be no need for changes in physical network infrastructure (hardware). The QNTYM Railway is an inherently quantum secure, self-defending, resilient, digital infrastructure capable of lightning-fast speed with a significant sustainability proposition. From a command & control standpoint, the QNTYM Railway is also integrated with leading vendors where users can benefit from having threat intel, vulnerability, device & incident response management capabilities all automated and in one place, hence reducing complexity.

In terms of speed, the QNTYM Railway has demonstrated consistent throughput speeds of 350+ Mbit/s, (and above). The QNTYM Railway provides integration and interoperability that is in a class of its own allowing technology to reach new levels. For the past year, QDEx Labs has been stress-assessing the QNTYM Railway across three interconnected cloud environments (AWS, Google Cloud, and Azure); they found that not only are they consistently experiencing the minimum requirement of 250 Mbit/s for 8k video streaming, but they are also, in fact, recording data streams reaching 3 to 4 times that amount with little to no processor load and added latencies in the microsecond (NOT millisecond) range.

The bottom line is that this architecture has now proven capable of hosting an ultra-realistic 3D metaverse. Results like these are something that Web3 and Metaverse projects currently lack and will require.

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