Tesla Autopilot is a self-driving assistance system. In plain terms, it’s a capability that enables a Tesla to’see’ the cars and road ahead of it and, to a limited extent, drive itself.
Category: robotics/AI – Page 1473
NVIDIA plans to build the world’s most powerful AI supercomputer dedicated to predicting climate change, named Earth-2.
The earth is warming. The past seven years are on track to be the seven warmest on record. The emissions of greenhouse gases from human activities are responsible for approximately 1.1°C of average warming since the period 1850–1900.
What we’re experiencing is very different from the global average. We experience extreme weather — historic droughts, unprecedented heatwaves, intense hurricanes, violent storms and catastrophic floods. Climate disasters are the new norm.
We need to confront climate change now. Yet, we won’t feel the impact of our efforts for decades. It’s hard to mobilize action for something so far in the future. But we must know our future today — see it and feel it — so we can act with urgency.
Battling bias. If I’ve been a little MIA this week, it was because I spent Monday and Tuesday in Boston for Fortune ’s inaugural Brainstorm A.I. gathering. It was a fun and wonky couple of days diving into artificial intelligence and machine learning, technologies that—for good or ill—seem increasingly likely to shape not just the future of business, but the world at large.
There are a lot of good and hopeful things to be said about A.I. and M.L., but there’s also a very real risk that the technologies will perpetuate biases that already exist, and even introduce new ones. That was the subject of one of the most engrossing discussions of the event by a panel that was—as pointed out by moderator, guest co-chair, and deputy CEO of Smart Eye Rana el Kaliouby—comprised entirely of women.
One of the scariest parts of bias in A.I. is how wide and varied the potential effects can be. Sony Group’s head of A.I. ethics office Alice Xiang gave the example of a self-driving car that’s been trained too narrowly in what it recognizes as a human reason to jam on the breaks. “You need to think about being able to detect pedestrians—and ensure that you can detect all sorts of pedestrians and not just people that are represented dominantly in your training or test set,” said Xiang.
Non-verbal social cues are key.
Robots are increasingly becoming common in everyday life but their communications skills still lag far behind. One key attribute that might really help robot-human interactions is if robots could learn to read and respond to human emotional cues.
In that case, they would be able to interfere when they are really needed and not disturb the rest of the time. Now, researchers at Franklin & Marshall College have been working on allowing socially assistive robots to process social cues given by humans and respond to them accordingly.
AI is a classic double-edged sword in much the same way as other major technologies have been since the start of the Industrial Revolution. Burning carbon drives the industrial world but leads to global warming. Nuclear fission provides cheap and abundant electricity though could be used to destroy us. The Internet boosts commerce and provides ready access to nearly infinite amounts of useful information, yet also offers an easy path for misinformation that undermines trust and threatens democracy. AI finds patterns in enormous and complex datasets to solve problems that people cannot, though it often reinforces inherent biases and is being used to build weapons where life and death decisions could be automated. The danger associated with this dichotomy is best described by sociobiologist E.O. Wilson at a Harvard debate, where he said “The real problem of humanity is the following: We have paleolithic emotions; medieval institutions; and God-like technology.”
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There is a lot more than the usual amount of handwringing over AI these days. Former Google CEO Eric Schmidt and former US Secretary of State and National Security Advisor Henry Kissinger put out a new book last week warning of AI’s dangers. Fresh AI warnings have also been issued by professors Stuart Russell (UC Berkeley) and Youval Harari (University of Jerusalem). Op-eds from the editorial board at the Guardian and Maureen Dowd at the New York Times have amplified these concerns. Facebook — now rebranded as Meta — has come under growing pressure for its algorithms creating social toxicity, but it is hardly alone. The White House has called for an AI Bill of Rights, and the Financial Times argues this should extend globally. Worries over AI are flying faster than a gale force wind.
When comparing Meta — formerly Facebook — and Microsoft’s approaches to the metaverse, it’s clear Microsoft has a much more grounded and realistic vision. Although Meta currently leads in the provision of virtual reality (VR) devices (through its ownership of what was previously called Oculus), Microsoft is adapting technologies that are currently more widely used. The small, steady steps Microsoft is making today put it in a better position to be one of the metaverse’s future leaders. However, such a position comes with responsibilities, and Microsoft needs to be prepared to face them.
The metaverse is a virtual world where users can share experiences and interact in real-time within simulated scenarios. To be clear, no one knows yet what it will end up looking like, what hardware it will use, or which companies will be the main players — these are still early days. However, what is certain is that VR will play a key enabling role; VR-related technologies such as simultaneous location and mapping (SLAM), facial recognition, and motion tracking will be vital for developing metaverse-based use cases.
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Google’s own Deepmind has just released a new revolutionary Artificial Intelligence model which will likely power many AI Applications in the future. They named it Perceiver and it’s meant to replace the most popular AI transformer models.
Perceiver is meant to bring a more general approach to problems from AI models which some would call Artificial General Intelligence. Whether or not Deepmind will manage to create the best AI in the future is yet to be seen. But one thing is for sure, the future is quite weird for AI but also amazing to see.
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TIMESTAMPS:
00:00 A new kind of AI
01:46 What this new model does.
03:40 How Perceiver works.
05:40 Problems with Perceiver.
06:28 Last words.
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#deepmind #ai #agi
The most intelligent AI Scientists in the world are becoming increasingly worried about Artificial Intelligence programs becoming more unpredictable and incomprehensible as they become more powerful. AI is also overtaking powerful positions in the government, healthcare and defense which could prove dangerous as an Artificial Super Intelligence is coming very close as the Singularity approaches in the future of 2045. People like Elon Musk and Ray Kurzweil have long warned us about AI beating Humans in anything we can imagine. Nvidia and Meta are also working on specially made hardware and software in the form of pytorch and 2022 GPU’s. Artificial General Intelligence is a real dangers and here are some solutions to it.
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TIMESTAMPS:
00:00 The Dawn of incomprehensible AI
01:33 The Dangers of Artificial Intelligence.
03:03 A Possible solution.
04:23 What ASI means for Society.
07:15 So, is all hope lost?
09:03 Last Words.
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#ai #asi #agi
The company has its hands in a lot of technology pies, from advanced robotics to autonomous cars, planes, chips, advanced AI, and even medical research. This week it offered a glimpse of an avatar-dominated collaboration metaverse.
Summary: A newly developed AI algorithm can directly predict eye position and movement during an MRI scan. The technology could provide new diagnostics for neurological disorders that manifest in changes in eye-movement patterns.
Source: Max Planck Institute.
A large amount of information constantly flows into our brain via the eyes. Scientists can measure the resulting brain activity using magnetic resonance imaging (MRI). The precise measurement of eye movements during an MRI scan can tell scientists a great deal about our thoughts, memories and current goals, but also about diseases of the brain.