Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.
AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.”
IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”
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Tomi Engdahl says:
Ambarella’s CV5 Chip Boasts 8K Image Processing, AI Acceleration, and Encodes in Just 2W
https://www.hackster.io/news/ambarella-s-cv5-chip-boasts-8k-image-processing-ai-acceleration-and-encodes-in-just-2w-b59cc7b12287?a430a7300689d591618cb08a7f156c36
Targeting AI cameras and supporting one 8K or four 4K video streams, the new part can encode 8K video in just 2W of power.
Tomi Engdahl says:
Facial recognition reveals political party in troubling new research
https://techcrunch.com/2021/01/13/facial-recognition-reveals-political-party-in-troubling-new-research/?tpcc=ECFB2021
Tomi Engdahl says:
Facial recognition technology can expose political orientation from naturalistic facial images
https://www.nature.com/articles/s41598-020-79310-1
Tomi Engdahl says:
Calculations Show It’ll Be Impossible to Control a Super-Intelligent AI
https://www.sciencealert.com/calculations-show-it-d-be-impossible-to-control-a-rogue-super-smart-ai
The idea of artificial intelligence overthrowing humankind has been talked about for many decades, and scientists have just delivered their verdict on whether we’d be able to control a high-level computer super-intelligence. The answer? Almost definitely not.
Tomi Engdahl says:
AI capable of determining a person’s political affiliation based on their photo with finds liberals face the camera while conservatives have a look of disgust
https://trib.al/88icBbN
Tomi Engdahl says:
Artificial Intelligence Has Discovered 1,210 New Gravitational Lenses
https://www.iflscience.com/space/artificial-intelligence-has-discovered-1210-new-gravitational-lenses/
Massive objects distort space-time, and some can warp it to such a degree where the light of distant background galaxies is turned into large magnified arcs and rings. Finding them, especially the biggest ones, is not an easy task, so researchers had to deploy a new approach: a machine learning algorithm designed specifically to find them. And it was greatly successful.
The algorithm went through the exquisite map produced by the DESI (Dark Energy Spectroscopic Instrument) Legacy Imaging Surveys, the largest ever produced. It was able to discover 1,210 new lenses, almost doubling the number of gravitational lenses known to humanity. The discovery is reported in a paper accepted for publication in The Astrophysical Journal.
Tomi Engdahl says:
Google trained a trillion-parameter AI language model
https://venturebeat.com/2021/01/12/google-trained-a-trillion-parameter-ai-language-model/
Parameters are the key to machine learning algorithms. They’re the part of the model that’s learned from historical training data. Generally speaking, in the language domain, the correlation between the number of parameters and sophistication has held up remarkably well. For example, OpenAI’s GPT-3 — one of the largest language models ever trained, at 175 billion parameters — can make primitive analogies, generate recipes, and even complete basic code.
In what might be one of the most comprehensive tests of this correlation to date, Google researchers developed and benchmarked techniques they claim enabled them to train a language model containing more than a trillion parameters. They say their 1.6-trillion-parameter model, which appears to be the largest of its size to date, achieved an up to 4 times speedup over the previously largest Google-developed language model (T5-XXL).
Tomi Engdahl says:
How Artificial Neural Networks Paved the Way For A Dramatic New Theory of Dreams
https://www.discovermagazine.com/mind/how-artificial-neural-networks-paved-the-way-for-a-dramatic-new-theory-of?utm_source=dscfb&utm_medium=social&utm_campaign=dscfb
Machine learning experts struggle to deal with “overfitting” in neural networks. Evolution solved it with dreams, says new theory.
the human brain sometimes links events that have little or no causal connection. Computer scientists have a different way of thinking about it. For them, this is an example of “overfitting” — using irrelevant detail to construct a model. There may be many factors that contribute to the success of a particular tennis shot or basketball throw or home run but the color of socks or underpants is probably not one of them.
Exactly the same thing occurs with artificial neural networks. The networks learn relevant detail but also irrelevances. Indeed, overfitting is the bane of machine learning experts who have devised a wide range of techniques to get around it.
Tomi Engdahl says:
Will Knight / Wired:
A Harvard medical student used OpenAI’s GPT-2 to submit comments on Idaho’s Medicaid draft proposal; volunteers couldn’t tell them apart from those by humans
AI-Powered Text From This Program Could Fool the Government
https://www.wired.com/story/ai-powered-text-program-could-fool-government/
A Harvard medical student submitted auto-generated comments to Medicaid; volunteers couldn’t distinguish them from those penned by humans.
In October 2019, Idaho proposed changing its Medicaid program. The state needed approval from the federal government, which solicited public feedback via Medicaid.gov.
Roughly 1,000 comments arrived. But half came not from concerned citizens or even internet trolls. They were generated by artificial intelligence. And a study found that people could not distinguish the real comments from the fake ones.
The project was the work of Max Weiss, a tech-savvy medical student at Harvard, but it received little attention at the time. Now, with AI language systems advancing rapidly, some say the government, and internet companies, need to rethink how they solicit and screen feedback to guard against deepfake text manipulation and other AI-powered interference.
Tomi Engdahl says:
https://www.eetimes.com/accelerated-discovery-ai-and-the-scientific-method/
Tomi Engdahl says:
Researchers Have Developed A Robot With A “Primitive Form Of Empathy”
https://www.iflscience.com/technology/researchers-have-developed-a-robot-with-a-primitive-form-of-empathy/
If robots are ever to interact socially with humans, they will first need to develop the capacity for Theory of Mind (ToM), which entails the ability to empathize with others. While the development of artificial intelligence (AI) systems with such advanced cognition remain some way off, researchers from Columbia University have succeeded in creating a robot with what they call “visual theory of behavior”. Describing their work in the journal Scientific Reports, the study authors explain that this trait may well have arisen in animals as an evolutionary precursor to ToM, and could represent a major step towards the creation of AI with complex social capabilities.
Tomi Engdahl says:
Computer scientists: We wouldn’t be able to control super intelligent machines
New findings from theoretical computer science
https://www.eurekalert.org/pub_releases/2021-01/mpif-csw011121.php
Tomi Engdahl says:
https://scitechdaily.com/mit-deep-learning-algorithm-finds-hidden-warning-signals-in-measurements-collected-over-time/
Tomi Engdahl says:
Superintelligent AI May Be Impossible to Control; That’s the Good News
https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/super-artificialintelligence
It may be theoretically impossible for humans to control a superintelligent AI, a new study finds. Worse still, the research also quashes any hope for detecting such an unstoppable AI when it’s on the verge of being created.
Slightly less grim is the timetable. By at least one estimate, many decades lie ahead before any such existential computational reckoning could be in the cards for humanity.
Alongside news of AI besting humans at games such as chess, Go and Jeopardy have come fears that superintelligent machines smarter than the best human minds might one day run amok. “The question about whether superintelligence could be controlled if created is quite old,” says study lead author Manuel Alfonseca, a computer scientist at the Autonomous University of Madrid. “It goes back at least to Asimov’s First Law of Robotics, in the 1940s.”
Tomi Engdahl says:
Superintelligence Cannot be Contained: Lessons from Computability Theory
https://jair.org/index.php/jair/article/view/12202
Tomi Engdahl says:
Deep Learning at the Speed of Light
https://spectrum.ieee.org/computing/software/deep-learning-at-the-speed-of-light
Tomi Engdahl says:
https://spectrum.ieee.org/computing/software/its-too-easy-to-hide-bias-in-deeplearning-systems
Tomi Engdahl says:
Eight “Illusion” Chips, Built with Resistive RAM, Prove Near-Ideal for Deep Neural Networks
https://www.hackster.io/news/eight-illusion-chips-built-with-resistive-ram-prove-near-ideal-for-deep-neural-networks-b9e6aeb00f15
Based on a 3D layout, Illusion has a single-digit-percentage performance impact when slicing work up between multiple chips.
Tomi Engdahl says:
https://www.iflscience.com/technology/this-ai-will-brutally-judge-your-art-in-a-hilarious-internet-competition/
Tomi Engdahl says:
A Multi-Gigahertz “Photonic Chip” Driven by a Frequency Comb Could Blow Current AI Accelerators Away
https://www.hackster.io/news/a-multi-gigahertz-photonic-chip-driven-by-a-frequency-comb-could-blow-current-ai-accelerators-away-ab6b99fa1245
Processing multiple wavelengths of light in parallel, the new chip promises considerably boosted performance and efficiency.
Tomi Engdahl says:
Hungry for Knowledge? Get FedML
https://www.hackster.io/news/hungry-for-knowledge-get-fedml-7720be1ebeab
Open source machine learning library FedML is an end-to-end toolkit for developing and benchmarking federated learning algorithms.
Tomi Engdahl says:
DALL·E: Creating Images from Text
https://openai.com/blog/dall-e/
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.
Tomi Engdahl says:
https://attractive.ai/en?utm_source=Facebook&utm_medium=cpc&utm_campaign=Accessibility&utm_content=Version+D&fbclid=IwAR2u_73dfTPvj_WGEKjCeKlzJr7Z3uYenP54Gi3PO_U6mwniGXCTQbN6SM8
Tomi Engdahl says:
Forbes: How the EU is leading the way in AI powered social innovation – Estonia again among the frontrunners
https://investinestonia.com/forbes-how-the-eu-is-leading-the-way-in-ai-powered-social-innovation-estonia-again-among-the-frontrunners/?utm_source=facebook&utm_medium=content&utm_campaign=socialmedia&utm_content=forbes-how-the-eu-is-leading-the-way-in-ai-powered-social-innovation-estonia-again-among-the-frontrunners&fbclid=IwAR3sGQww_Wv2bGVEX5D6PZe_-PwPFr1_GICztij2y5b0Fz4ZqlpChn36h6I
As the EU as a whole has made major strides in AI-powered social innovation, within Europe, there are a handful of key players that are impacting the ecosystem the most: Denmark, Slovenia and the country that, according to Forbes, is the world’s one and only e-Nation: Estonia.
Tomi Engdahl says:
https://www.nature.com/articles/d42473-020-00356-w?utm_source=facebook&utm_medium=social&utm_campaign=bcon-NI_AI_U-Tokyo&fbclid=IwAR0uBprpxIsdpIoPGvmHWwoCHK2gsliTC5OGRGZztQm70PkMADYpbXNIJsc
Tomi Engdahl says:
Microsoft has patented a chatbot that could imitate a deceased loved one, celebrity, or fictional character
https://www.businessinsider.com/microsoft-patents-a-chatbot-to-imitate-real-people-2021-1
Microsoft has been granted a patent for a chatbot that can take on the personality of real people.
The chatbot would be created through content readily available on social media.
Microsoft’s General Manager of AI Programs says he is unaware of any plans to build the chatbot.
Tomi Engdahl says:
If I Only Had a Hardware Accelerated Brain
Robomorphic computing improves the response time of robots by creating purpose-built processing chip designs.
https://www.hackster.io/news/if-i-only-had-a-hardware-accelerated-brain-8573554d2a66
Tomi Engdahl says:
Calculations Show Humans Can’t Contain Superintelligent Machines
https://www.popularmechanics.com/technology/robots/a35267508/humans-cant-contain-superintelligent-machines/
Researchers say we’re unlikely to ever be able to contain a large enough superintelligent artificial intelligence.
The premise sounds scary, but knowing the odds will help scientists who work on these projects.
Self-teaching AI already exists and can teach itself things programmers don’t “fully understand.”
In a new study, researchers from Germany’s Max Planck Institute for Human Development say they’ve shown that an artificial intelligence in the category known as “superintelligent” would be impossible for humans to contain with competing software.
That … doesn’t sound promising. But are we really all doomed to bow down to our sentient AI overlords?
Tomi Engdahl says:
AI can seem super-intelligent when confined to narrow tasks. But how smart is it really? New IQ tests probe AI’s ability to reason and generalize.
To Really Judge an AI’s Smarts, Give it One of These IQ Tests
https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/how-do-you-test-the-iq-of-ai
So researchers are developing AI IQ tests meant to assess deeper humanlike aspects of intelligence, such as concept learning and analogical reasoning. So far, computers have struggled on many of these tasks, which is exactly the point. The test-makers hope their challenges will highlight what’s missing in AI, and guide the field toward machines that can finally think like us.
Tomi Engdahl says:
Radar Love
https://www.hackster.io/news/radar-love-3fc36ca33fb4
Deep learning and high frequency radio signals work together to determine if someone is feeling happy, or if they giga-hurts.
Tomi Engdahl says:
Machines Are Inventing New Math We’ve Never Seen
Pushing the boundaries of math requires great minds to pose fascinating problems. What if a machine could do it? Now, scientists created one that can.
https://www.vice.com/en/article/xgzkek/machines-are-inventing-new-math-weve-never-seen?utm_content=1612971008&utm_medium=social&utm_source=VICE_facebook
Tomi Engdahl says:
What Do Feedback Loops For AI/ML Devices Really Show?
https://semiengineering.com/what-do-feeback-loops-for-ai-ml-devices-really-show/
Optimization removes some of the baseline measurements for chips, making comparisons much more difficult.
Tomi Engdahl says:
TensorFlow 3D Brings Three-Dimensional Scene
https://www.hackster.io/news/tensorflow-3d-brings-three-dimensional-scene-understanding-and-object-detection-to-tensorflow-07c255528c2c
Understanding and Object Detection to TensorFlow
The library offers data sets, conversion tools, and fully-working pipelines for handling 3D data in TensorFlow.
Tomi Engdahl says:
https://fortune.com/2021/02/11/stonks-stock-market-gamestop-reddit-wallstreetbets-ai-hedge-funds-losses-gme-amc/
Tomi Engdahl says:
https://hackaday.com/2021/02/03/machine-learning-in-the-kitchen-makes-for-tasty-mashup-desserts/
Tomi Engdahl says:
AI Voice Biometrics Accurate Enough for Authentication
https://www.eetimes.com/ai-voice-biometrics-accurate-enough-for-authentication/
Tomi Engdahl says:
How artificial intelligence will change work
MIT researchers offer insight on the challenges and potential of artificial intelligence (AI) and how they will change the nature of work.
https://www.controleng.com/articles/how-artificial-intelligence-will-change-work/?oly_enc_id=0462E3054934E2U
Tomi Engdahl says:
https://etn.fi/index.php/13-news/11773-samsung-tuo-prosessoinnin-muistiin-ensimmaisena-maailmassa
Tomi Engdahl says:
Similarity Search Accelerator Boosts AI Applications
https://www.eetimes.com/similarity-search-accelerator-boosts-ai-applications/
Tomi Engdahl says:
The open source deep fake tool ‘Avatarify’ allows you to algorithmically become another person and join the online video conference
https://gigazine.net/gsc_news/en/20200417-zoom-skype-avatarify/
GitHub-alievk / avatarify: Avatars for Zoom and Skype
https://github.com/alievk/avatarify
This Open-Source Program Deepfakes You During Zoom Meetings, in Real Time-VICE
https://www.vice.com/en_us/article/g5xagy/this-open-source-program-deepfakes-you-during-zoom-meetings-in-real-time
Tomi Engdahl says:
Calculations Show Humans Can’t Contain Superintelligent Machines
Well, we had a pretty good run.
https://www.popularmechanics.com/technology/robots/a35267508/humans-cant-contain-superintelligent-machines/?utm_medium=social-media&utm_source=facebook&utm_campaign=socialflowFBPOP
Researchers say we’re unlikely to ever be able to contain a large enough superintelligent artificial intelligence.
The premise sounds scary, but knowing the odds will help scientists who work on these projects.
Self-teaching AI already exists and can teach itself things programmers don’t “fully understand.”
In a new study, researchers from Germany’s Max Planck Institute for Human Development say they’ve shown that an artificial intelligence in the category known as “superintelligent” would be impossible for humans to contain with competing software.
Tomi Engdahl says:
Brainwave: If Memristors Act Like Neurons, Put Them in Neural Networks
https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/memristor-random
Tomi Engdahl says:
New Type of DRAM Could Accelerate AI
https://spectrum.ieee.org/tech-talk/semiconductors/memory/new-type-of-dram-could-accelerate-ai
One of the biggest problems in computing today is the “memory wall”—the difference between processing time and the time it takes to shuttle data over to the processor from separate DRAM memory chips. The increasingly popularity of AI applications has only made that problem more pronounced, because the huge networks that find faces, understand speech, and recommend consumer goods rarely fit in a processor’s on-board memory
Tomi Engdahl says:
MACHINE LEARNING IN THE KITCHEN MAKES FOR TASTY MASHUP DESSERTS
https://hackaday.com/2021/02/03/machine-learning-in-the-kitchen-makes-for-tasty-mashup-desserts/
Tomi Engdahl says:
ON Semiconductor’s RSL10 Smart Shot Camera Aims to Bring Local Triggers, Cloud AI to Wearables
Designed for ultra-low-power triggering and configured via smartphone over BLE, ON Semi is positioning the part for embedded and wearables.
https://www.hackster.io/news/on-semiconductor-s-rsl10-smart-shot-camera-aims-to-bring-local-triggers-cloud-ai-to-wearables-0f975cc4978b
Tomi Engdahl says:
LMU Munich harnesses AI to drive discovery
Researchers apply machine learning to the arts and sciences to help decode ancient languages and improve manufacturing processes.
https://www.nature.com/articles/d42473-020-00366-8?utm_source=facebook&utm_medium=social&utm_campaign=bcon-lmu_article_2&fbclid=IwAR295hJ3-3PtohsR75ecc74qHuaWW5wo71hii3Gar679p75YXvxl_Fb6knA
Tomi Engdahl says:
New AI Can Detect Emotion With Radio Waves
There are national security and privacy implications to an experimental UK neural network that deciphers how people respond to emotional stimuli.
https://www.defenseone.com/technology/2021/02/new-ai-can-detect-emotion-radio-waves/171863/
Tomi Engdahl says:
Think you’ve spotted a deepfake? This tool allows you to know for sure
https://cybernews.com/news/think-youve-spotted-a-deepfake-this-tool-allows-you-to-know-for-sure/
Tomi Engdahl says:
AI can outperform humans. But at what cost?
https://cybernews.com/editorial/ai-can-outperform-humans-but-at-what-cost/
Tomi Engdahl says:
The First Steps Toward a Quantum Brain: An Intelligent Material That Learns by Physically Changing Itself
https://scitechdaily.com/the-first-steps-toward-a-quantum-brain-an-intelligent-material-that-learns-by-physically-changing-itself/