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:
Researchers at the University of Texas at San Antonio have created an automated program called AutoFoley that analyzes the movement in video frames and creates its own artificial sound effects to match the scene. In a survey, the majority of people polled indicated that they believed the fake sound effects were real.
New AI Dupes Humans into Believing Synthesized Sound Effects Are Real
https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/new-ai-dupes-humans-into-believing-synthesized-sound-effects-are-real
researchers have created an automated program that analyzes the movement in video frames and creates its own artificial sound effects to match the scene. In a survey, the majority of people polled indicated that they believed the fake sound effects were real. The model, AutoFoley, is described in a study published June 25 in IEEE Transactions on Multimedia.
“Adding sound effects in post-production using the art of Foley has been an intricate part of movie and television soundtracks since the 1930s,”
The first machine learning model extracts image features (e.g., color and motion) from the frames of fast-moving action clips to determine an appropriate sound effect.
The second model analyzes the temporal relationship of an object in separate frames. By using relational reasoning to compare different frames across time, the second model can anticipate what action is taking place in the video.
In a final step, sound is synthesized to match the activity or motion predicted by one of the models.
Tomi Engdahl says:
A Step-By-Step Guide To Building a Trading Bot In Any Programming Language
Pick Your Weapon of Choice and I’ll Show You How to Fight
https://blog.usejournal.com/a-step-by-step-guide-to-building-a-trading-bot-in-any-programming-language-d202ffe91569
Tomi Engdahl says:
Repurposing Neural Networks to Generate Synthetic Media for
Information Operations
https://www.fireeye.com/blog/threat-research/2020/08/repurposing-neural-networks-to-generate-synthetic-media-for-information-operations.html
FireEyes Data Science and Information Operations Analysis teams
released this blog post to coincide with our Black Hat USA 2020
Briefing, which details how open source, pre-trained neural networks
can be leveraged to generate synthetic media for malicious purposes.
To summarize our presentation, we first demonstrate three successive
proof of concepts for how machine learning models can be fine-tuned in
order to generate customizable synthetic media in the text, image, and
audio domains.
Tomi Engdahl says:
What the AI Chip Market is All About
Right now, the AI chip market is all about deep learning. Deep learning (DL) is the most successful of machine learning paradigms at making AI applications useful in the …
EE Times
https://www.eetimes.com/what-the-ai-chip-market-is-all-about/
Tomi Engdahl says:
AI Magic Makes Century-Old Films Look New
Denis Shiryaev uses algorithms to colorize and sharpen old movies, bumping them up to a smooth 60 frames per second. The result is a stunning glimpse at the past.
https://www.wired.com/story/ai-magic-makes-century-old-films-look-new/
Tomi Engdahl says:
Demand for Edge AI Chips to Surpass Cloud AI by 2025
https://www.eetimes.com/demand-for-edge-ai-chips-to-surpass-cloud-ai-by-2025/
Tomi Engdahl says:
What the AI Chip Market is All About
https://www.eetimes.com/what-the-ai-chip-market-is-all-about/
Right now, the AI chip market is all about deep learning. Deep learning (DL) is the most successful of machine learning paradigms at making AI applications useful in the real world.
The AI chip market today is all about accelerating deep learning (DL) – the acceleration is needed during training and during inferencing. The AI chip market has exploded with players: for a recent research report we counted some 80 startups globally with $10.5 billion spend by investors, competing with some 34 established players. Clearly this is unsustainable, but we need to dissect this market to better understand why it is the way it is now, how it is likely to change, and what it all means.
Winding the clock back to around 2010 when Nvidia launched its high-end general-purpose computing on graphics processing units (GPGPUs) – we just call them GPUs now – it led to the rise of DL, reducing training times of large neural networks from months and weeks to days and hours, and less. Nvidia grew a new multi-billion-dollar business around being the AI computing company. That prompted other chip companies and chip architects to think about how they could build an architecture dedicated to running AI workloads, starting with a clean sheet, and do better than GPUs designed for more varied workloads. The AI workloads today simply mean running DL, this is where the market demand exists.
But the market is varied in its needs. While most of the AI training is performed in the data center (including on hyperscale clouds) and on workstations, the AI inferencing is done everywhere: on the cloud, on the workstation, on the edge. Especially the edge.
Tomi Engdahl says:
Spiking Neural Networks Place Data In Time
https://semiengineering.com/spiking-neural-networks-place-data-in-time/
How efficiently can we mimic biological spiking process of neurons and synapses, and is CMOS a good choice for neural networks?
Tomi Engdahl says:
Four major trends for AI and robotics
Artificial intelligence (AI) and robotics have the ability to move forward in manufacturing thanks to advances in machine learning, better decision-making and increased efficiency.
https://www.controleng.com/articles/ai-and-robotics-the-challenges-and-the-opportunities/?oly_enc_id=0462E3054934E2U
1. Valuable machine data generated at the edge
2. Increased efficiency through self-learning algorithms
3. Efficient decision-making with visualized data
4. Sustainable technology
Tomi Engdahl says:
How AI, ML, and AR Will Change the Face of Design
The combination of artificial intelligence (AI), machine learning (ML), and augmented reality (AR) will change the face of design in the not-so-distant future.
https://www.designnews.com/automation/how-ai-ml-and-ar-will-change-face-design?ADTRK=InformaMarkets&elq_mid=13767&elq_cid=876648
Tomi Engdahl says:
3 Types Of AI Hardware
All AI chips are not the same, but there are commonalities.
https://semiengineering.com/3-types-of-ai-hardware/
https://www.youtube.com/watch?v=ic5LiYctavE&feature=emb_logo
Tomi Engdahl says:
used artificial intelligence to fully automate online dating experience
https://m.youtube.com/watch?fbclid=IwAR2Bgbk-DOpOOs9YmibdKcRXYft4GAoLGCjom9sN_NHIVNA-y4rRjHtXqpY&feature=youtu.be&v=3VvoPxoLyfc
Tomi Engdahl says:
This Weird Fluffy Robot Pet Has an AI Designed to Help It Emotionally Connect with You
https://www.hackster.io/news/this-weird-fluffy-robot-pet-has-an-ai-designed-to-help-it-emotionally-connect-with-you-d04b4bdd1703
Vanguard Industries developed the weird, fluff-covered MOFLIN AI pet specifically to fill the same roll as a kitten or guinea pig.
Tomi Engdahl says:
Led by Quansight, the Consortium is looking to create a central standard for arrays — tensors — in Python data work.
The Consortium for Python Data API Standards Aims to Fix Fragmentation, Make Python Data Work Easier
https://www.hackster.io/news/the-consortium-for-python-data-api-standards-aims-to-fix-fragmentation-make-python-data-work-easier-c858b529b0c9
Led by Quansight, the Consortium is looking to create a central standard for arrays — tensors — in Python data work.
Tomi Engdahl says:
https://techcrunch.com/2020/08/18/how-to-diagnose-and-treat-machine-learning-models-afflicted-by-covid-19/?tpcc=ECFB2020
Tomi Engdahl says:
Zeroing In On Biological Computing
The challenges of developing artificial neurons with Mott insulators.
https://semiengineering.com/zeroing-in-on-biological-computing/
Artificial spiking neural networks need to replicate both excitatory and inhibitory biological neurons in order to emulate the neural activation patterns seen in biological brains.
Doing this with CMOS-based designs is challenging because of the large circuit footprint required. However, researchers at HP Labs observed that one biologically plausible model, the Hodgkins-Huxley model, is mathematically equivalent to a system with two Mott insulators and parallel capacitors. In their Mott “neuristor” circuit, the four state variables are the metallic channel radii of the two Mott devices, plus the two capacitances.
Mott insulators have an abrupt transition from insulator to metal, which can be controlled either thermally or electrically. They can be modeled as a two-dimensional array of cells forming a resistor network. Each component cell may be in the low or high resistance state. The neuron fires when the number of low resistance cells reaches a critical threshold.
Tomi Engdahl says:
The World’s Oldest Film Has Been Revamped By Artificial Intelligence
https://www.iflscience.com/technology/the-world-s-oldest-film-has-been-revamped-by-artificial-intelligence/?fbclid=IwAR0-bVhXgsw7WF0iPLQs7s8snil1mtaWADKdU1d5HIAGaJBB9zNyW5XvZpo
A YouTuber has used artificial intelligence to revamp the world’s oldest-known surviving pieces of film footage.
The original film, known as the Roundhay Garden Scene, was shot by French inventor Louis Le Prince on October 14, 1888.
Running at just a couple of seconds in length and shot at 12 frames per second, the black-and-white clip marks an incredible step forward in the development of technology. Just think: In 1888, Van Gogh was painting his masterpieces, Jack the Ripper was stalking the streets of East London, and the Eiffel Tower was still in the middle of construction. Although the film wouldn’t be winning any Oscars nowadays, 1888 was a very different world.
Tomi Engdahl says:
https://techcrunch.com/2020/08/20/ai-as-a-blueprint-for-fintech-startups/
Tomi Engdahl says:
What are the real costs of poor IT software quality? How can this number be calculated?
Why is it worth to keep the code in good quality? How Amazon’s CodeGuru Machine Learning can help you achieve it?
All the answers you will find in the freshest article on the SolDevelo blog!
https://www.soldevelo.com/blog/code-quality-amazon-codeguru-machine-learning-to-the-rescue/
Tomi Engdahl says:
Tests show that the popular AI still has a poor grasp of reality.
GPT-3, Bloviator: OpenAI’s language generator has no idea what it’s talking about
https://www.technologyreview.com/2020/08/22/1007539/gpt3-openai-language-generator-artificial-intelligence-ai-opinion/
Tomi Engdahl says:
Ready to unleash your deep learning superpowers and join Intel Developer Zone’s latest challenge? Here’s everything you need to get started with the OpenVINO toolkit.
Getting Started with Intel’s OpenVINO SDK
Explore Intel’s OpenVINO platform by seeing how to set it up and run an example project.
https://www.hackster.io/gatoninja236/getting-started-with-intel-s-openvino-sdk-6323f5
Tomi Engdahl says:
Researchers Use a GoPro and a Cheap Grabber Tool to Train a Robot Arm in the Art of Manipulation
Linked together with a 3D-printed mount, the camera and the grabber prove a great way to capture data for visual training.
https://www.hackster.io/news/researchers-use-a-gopro-and-a-cheap-grabber-tool-to-train-a-robot-arm-in-the-art-of-manipulation-c0ef32e9f320
Tomi Engdahl says:
AI System Defeats U.S. Air Force F-16 Pilot In 5 Dogfight Simulations
https://theaegisalliance.com/2020/08/24/ai-system-defeats-u-s-air-force-f-16-pilot-5-dogfight-simulations/
(The AEGIS Alliance) – Last Thursday an artificial intelligence (AI) system was able to defeat an F-16 pilot with the U. S. Air Force (USAF). The AI scored five victories in a row during an event that simulated virtual dogfighting. The Defense Advanced Research Projects Agency (DARPA) hosted the event.
The AlphaDogfight Trials carried out by the U.S. military looked to demonstrate the “feasibility of developing effective, intelligent autonomous agents capable of defeating adversary aircraft in a dogfight.”
Tomi Engdahl says:
AIoT: When Artificial Intelligence Meets the Internet of Things
https://www.visualcapitalist.com/aiot-when-ai-meets-iot-technology/
Tomi Engdahl says:
#AI virtual assistant provides contactless check-in and temperature scans to facilitate museum re-opening #COVID19 Intel
AI, depth-sensing facilitate museum opening during COVID-19 pandemic
https://www.edn.com/ai-depth-sensing-facilitate-museum-opening-during-covid-19-pandemic/
Tomi Engdahl says:
DORY is an automatic tool to deploy DNNs on low-cost MCUs with typically less than 1MB of on-chip SRAM memory.
Researchers Find DORY Dramatically Improves Deep Neural Network Performance on Sub-1MB SRAM MCUs
https://www.hackster.io/news/researchers-find-dory-dramatically-improves-deep-neural-network-performance-on-sub-1mb-sram-mcus-fbac4ddd22ec
Designed to eke maximum efficiency from edge IoT chips with 1MB or less static RAM (SRAM), DORY is now available under an Apache license.
A team of researchers have released a framework, dubbed Deployment Oriented to Memory (DORY), which they say can offer between a 2.5x and a 18.1x increase in efficiency for deep neural network (DNN) operation on low-power microcontroller devices.
“The deployment of Deep Neural Networks (DNNs) on end-nodes at the extreme edge of the Internet of Things is a critical enabler to support pervasive Deep learning-enhanced applications,”
Tomi Engdahl says:
Microsoft brings transcriptions to Word
https://techcrunch.com/2020/08/25/microsoft-brings-transcriptions-to-word/
Microsoft today launched Transcribe in Word, its new transcription service for Microsoft 365 subscribers, into general availability. It’s now available in the online version of Word, with other platforms launching later. In addition, Word is also getting new dictation features, which now allow you to use your voice to format and edit your text, for example.
As the name implies, this new feature lets you transcribe conversations, both live and pre-recorded, and then edit those transcripts right inside of Word. With this, the company goes head-to-head with startups like Otter and Google’s Recorder app, though they all have their own pros and cons.
Tomi Engdahl says:
https://www.tekniikkatalous.fi/uutiset/tekoaly-paihitti-oikean-havittajalentajan-yhdysvalloissa-50-talta-se-naytti-videolla/3b0e227b-19d1-46be-9e3a-f61c82cb3625?fbclid=IwAR06bxHO3-ROIEVmNTKKCDHexiwzB8z7GG49XMn_A3Nsskb7nRVZ4XYDh4w
Tomi Engdahl says:
Tämä kuva on enemmän kuin huolestuttava, kertoo tulevasta täydellisestä katastrofista: [https://mittrinsights.s3.amazonaws.com/AIagenda2020/GlobalAIagenda.pdf](https://mittrinsights.s3.amazonaws.com/AIagenda2020/GlobalAIagenda.pdf)
Tomi Engdahl says:
https://theaegisalliance.com/2020/08/24/ai-system-defeats-u-s-air-force-f-16-pilot-5-dogfight-simulations/
Tomi Engdahl says:
https://www.technologyreview.com/2020/08/22/1007539/gpt3-openai-language-generator-artificial-intelligence-ai-opinion/
Tomi Engdahl says:
A US Air Force F-16 pilot just battled AI in 5 simulated dogfights, and the machine emerged victorious every time
https://trib.al/SFyYph0
Tomi Engdahl says:
https://www.sealevel.com/2020/08/04/what-is-neuromorphic-computing/
Tomi Engdahl says:
US announces $1 billion research push for AI and quantum computing
White House backs AI and quantum for national security
https://www.theverge.com/2020/8/26/21402274/white-house-ai-quantum-computing-research-hubs-investment-1-billion
COMPARING SPENDING ON AI AND QUANTUM RESEARCH IS DIFFICULT
White House announces creation of AI and quantum research institutes
https://venturebeat.com/2020/08/26/white-house-announces-creation-of-ai-and-quantum-research-institutes/
Tomi Engdahl says:
Participation-washing could be the next dangerous fad in machine learning
Many people already participate in the field’s work without recognition or pay.
https://www.technologyreview.com/2020/08/25/1007589/participation-washing-ai-trends-opinion-machine-learning/
Tomi Engdahl says:
Over the decades, researchers have from time to time resurrected the idea of computing things with light, but the concept hasn’t proven widely practical for anything. Lightmatter is trying to change that now when it comes to neural-network calculations. Its Mars device has at its heart a chip that includes an analog optical processor, designed specifically to perform the mathematical operations that are fundamental to neural networks.
Lightmatter’s Mars Chip Performs Neural-Network Calculations at the Speed of Light
https://spectrum.ieee.org/tech-talk/semiconductors/optoelectronics/lightmatter-mars-photonic-chip-neural-network-calculations-speed-of-light
Tomi Engdahl says:
Lightmatter’s Mars Chip Performs Neural-Network Calculations at the Speed of Light
https://spectrum.ieee.org/tech-talk/semiconductors/optoelectronics/lightmatter-mars-photonic-chip-neural-network-calculations-speed-of-light
Tomi Engdahl says:
Cloud Computing (Literally)
EmergencyNet delivers aerial image classification, tuned for drones, that approaches state-of-the-art accuracy.
https://www.hackster.io/news/cloud-computing-literally-68417682785b
Tomi Engdahl says:
Worldwide Spending on Artificial Intelligence Is Expected to Double in Four Years, Reaching $110 Billion in 2024
Global spending on artificial intelligence (AI) is forecast to double over the next four years, growing from $50.1 billion in 2020 to more than $110 billion in 2024. According …
IDC
Worldwide Spending on Artificial Intelligence Is Expected to Double in Four Years, Reaching $110 Billion in 2024, According to New IDC Spending Guide
https://www.idc.com/getdoc.jsp?containerId=prUS46794720
FRAMINGHAM, Mass., August 25, 2020 – Global spending on artificial intelligence (AI) is forecast to double over the next four years, growing from $50.1 billion in 2020 to more than $110 billion in 2024. According to the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide, spending on AI systems will accelerate over the next several years as organizations deploy artificial intelligence as part of their digital transformation efforts and to remain competitive in the digital economy. The compound annual growth rate (CAGR) for the 2019-2024 period will be 20.1%.
“Companies will adopt AI — not just because they can, but because they must,” said Ritu Jyoti, program vice president, Artificial Intelligence at IDC. “AI is the technology that will help businesses to be agile, innovate, and scale. The companies that become ‘AI powered’ will have the ability to synthesize information (using AI to convert data into information and then into knowledge), the capacity to learn (using AI to understand relationships between knowledge and apply the learning to business problems), and the capability to deliver insights at scale (using AI to support decisions and automation).”
Tomi Engdahl says:
https://www.eetimes.com/reram-research-improves-independent-ai-learning/
Tomi Engdahl says:
Microsoft on the Issues:
Microsoft unveils new tools to identify deepfake videos and launches an interactive quiz at SpotDeepfakes.org to combat disinformation — Today, we’re announcing two new technologies to combat disinformation, new work to help educate the public about the problem, and partnerships to help advance …
New Steps to Combat Disinformation
https://blogs.microsoft.com/on-the-issues/2020/09/01/disinformation-deepfakes-newsguard-video-authenticator/
Tomi Engdahl says:
A new deep learning model teaches computers to “think” in abstract terms.
The Search for Intelligent Non-Life
A new deep learning model teaches computers to “think” in abstract terms.
https://www.hackster.io/news/the-search-for-intelligent-non-life-6989744117ac
Tomi Engdahl says:
https://techcrunch.com/2020/09/02/deep-science-dog-detectors-mars-mappers-and-ai-scrambling-sweaters/?tpcc=ECFB2020
Tomi Engdahl says:
ReRAM Research Improves Independent AI Learning
https://www.eetimes.com/reram-research-improves-independent-ai-learning/
Recent research using Weebit Nano’s silicon oxide (SiOx) ReRAM technology outlines a brain-inspired artificial intelligence (AI) system which can perform unsupervised learning tasks with high accuracy results.
The work was done by researchers at Politecnico Milan (the Polytechnic University of Milan) and presented in a recent joint paper with the company that details a novel AI self-learning demonstration based on Weebit’s SiOx ReRAM. The memory technology is considered a prime candidate to succeed NAND flash memory because of its potential to be 1,000 times faster while using 1,000 times less energy than NAND, while at the same time lasting 100 times longer. Weebit’s SiOx ReRAM is also appealing because it can leverage existing manufacturing processes.
Tomi Engdahl says:
These students figured out their tests were graded by AI — and the easy way to cheat
“He’s getting all 100s”
https://www.theverge.com/2020/9/2/21419012/edgenuity-online-class-ai-grading-keyword-mashing-students-school-cheating-algorithm-glitch
Simmons watched Lazare complete more assignments. She looked at the correct answers, which Edgenuity revealed at the end. She surmised that Edgenuity’s AI was scanning for specific keywords that it expected to see in students’ answers. And she decided to game it.
Now, for every short-answer question, Lazare writes two long sentences followed by a disjointed list of keywords — anything that seems relevant to the question. “The questions are things like… ‘What was the advantage of Constantinople’s location for the power of the Byzantine empire,’” Simmons says. “So you go through, okay, what are the possible keywords that are associated with this? Wealth, caravan, ship, India, China, Middle East, he just threw all of those words in.”
“I wanted to game it because I felt like it was an easy way to get a good grade,” Lazare told The Verge. He usually digs the keywords out of the article or video the question is based on.
Apparently, that “word salad” is enough to get a perfect grade on any short-answer question in an Edgenuity test.
As COVID-19 has driven schools around the US to move teaching to online or hybrid models, many are outsourcing some instruction and grading to virtual education platforms. Edgenuity offers over 300 online classes for middle and high school students ranging across subjects from math to social studies, AP classes to electives.
Tomi Engdahl says:
As if the world couldn’t get any weirder, this AI toilet scans your anus to identify you
https://nakedsecurity.sophos.com/2020/04/08/as-if-the-world-couldnt-get-any-weirder-this-ai-toilet-scans-your-anus-to-identify-you/
Yes, your continuous health monitoring Internet of Things (IoT) wrist wrapper well may track your sleep quality and how many calories you burn, but answer me this: does it stick artificial intelligence (AI) sensors up in your business to capture your urine flow and the Sistine Chapel-esque glory of the unique-as-a-fingerprint biometric that is your anus?
Doubtful. The world has never seen a smart toilet like this, which is described in a new study from Stanford University that was published in Nature Biomedical Engineering on Monday.
Tomi Engdahl says:
DAVE uses a GPT-2-based deep learning approach to translate hardware specifications written in natural language into Verilog.
Dave, I Really Think I’m Entitled to an Answer to That Question (in Verilog)
https://www.hackster.io/news/dave-i-really-think-i-m-entitled-to-an-answer-to-that-question-in-verilog-9aa5305b42b7
DAVE uses a GPT-2-based deep learning approach to translate hardware specifications written in natural language into Verilog.
Deep learning…check. Complex natural language interactions with a computer…check. 2001: A Space Odyssey reference…check. DAVE (Deriving Automatically Verilog from English), out of New York University, seems to check all the right boxes for a major advancement bordering on science fiction, but does it deliver as promised?
Specifications for digital systems are first written in natural language, then are translated into a Hardware Definition Language (HDL) with significant effort by engineers. DAVE seeks to take the difficulty out of defining hardware in FPGAs by automatically translating natural language directly into Verilog, a HDL.
The researchers found that DAVE gave the correct response to validation tests in a very surprising 94.8% of all cases. The team at NYU was kind enough to set up a Google Colab notebook that will let anyone try the model out
https://colab.research.google.com/drive/1aDSMDWL5hieB3_Th9ZdddDMAKQ2DjWxW
Tomi Engdahl says:
It arrived at Copernicus’ heliocentricity all on its own.
A neural network discovered Copernicus’ heliocentricity on its own
https://bigthink.com/surprising-science/neural-network-copernicus?utm_medium=Social&facebook=1&utm_source=Facebook#Echobox=1599234885
Can neural networks help scientists discover laws about more complex phenomena, like quantum mechanics?
In the process, SciNet generated formulas that place the Sun at the center of our solar system. Remarkably, SciNet accomplished this in a way similar to how astronomer Nicolaus Copernicus discovered heliocentricity.
“In the 16th century, Copernicus measured the angles between a distant fixed star and several planets and celestial bodies and hypothesized that the Sun, and not the Earth, is in the centre of our solar system and that the planets move around the Sun on simple orbits,” the team wrote in a paper published on the preprint repository arXiv. “This explains the complicated orbits as seen from Earth.”
Tomi Engdahl says:
https://etn.fi/index.php/13-news/11120-tekoalya-tuhat-kertaa-pienemmalla-virralla
Tomi Engdahl says:
AI in the enterprise: Prepare to be disappointed – oversold but under appreciated, it can help… just not too much
Today we launch our Register Debates in which we spar over hot topics and YOU decide which side is right – by reader vote
https://www.theregister.com/2020/09/07/ai_debate_for_motion_mon/