Never face the blank page again: These content automation tools use cutting edge natural language processing to create clean, natural writing. Writesonic, Wordsmith, AI Writer, Quill Bot, and Article Forge offer tools that can actually think and write just like humans! (Or at least they can passably get you started.) Read More
Monthly Archives: April 2021
Scientists modify Pepper the robot so they can now ‘think out loud
Composite AI: What Is It, and Why You Need It
You might have noticed a new term, “composite AI,” floating around the cybersphere. Don’t worry–it’s not a complex new technology that you must master. In fact, while the term may be new, the core idea behind it is not. Nevertheless, it’s likely a technique that you should be thinking about incorporating in your enterprise AI processes.
Gartner helped put composite AI on the map last summer, when it published its 2020 Hype Cycle for Emerging Technologies. Simply put, Composite AI refers to the “combination of different AI techniques to achieve the best result,” according to Gartner. That’s it. Simple enough, right? Read More
Journey to the center of the neuron
Every single one of your thoughts is made possible by your biological neurons. And behind many of the most useful A.I architectures is an entity inspired by them. Neurons are at the epicenter of the processing that underpins the complexity produced by intelligent systems. Curious to know more about the engine of your thoughts and about how they compare to their artificial counterparts? Let’s do it!
A.I neurons were originally inspired by our biological ones, yet they are very different. And why shouldn’t they be? There are many ways to get to the same destination and in the same way that human flight got inspired but didn’t copy part by part the way that birds fly, our artificial neurons are only partially inspired by our biological ones.
And yet, our biological neurons are way more complex than our artificial ones and hold so much rich detail and so many mysteries within. Even if we don’t need to copy the way biological neurons work, understanding what is different between both entities could give us new clues about how to move towards a more flexible form of artificial intelligence. Read More
Hackers Used to Be Humans. Soon, AIs Will Hack Humanity
Like crafty genies, AIs will grant our wishes, and then hack them, exploiting our social, political, and economic systems like never before.
If you don’t have enough to worry about already, consider a world where AIs are hackers.
Hacking is as old as humanity. We are creative problem solvers. We exploit loopholes, manipulate systems, and strive for more influence, power, and wealth. To date, hacking has exclusively been a human activity. Not for long.
As I lay out in a report I just published, artificial intelligence will eventually find vulnerabilities in all sorts of social, economic, and political systems, and then exploit them at unprecedented speed, scale, and scope. After hacking humanity, AI systems will then hack other AI systems, and humans will be little more than collateral damage. Read More
Democratising deep learning for microscopy with ZeroCostDL4Mic
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fueled by DL technology, the need to access powerful and compatible resources to train DL networks leads to an accessibility barrier that novice users often find difficult to overcome.Here, we present ZeroCostDL4Mic, an entry-level platform simplifying DL access by lever-aging the free, cloud-based computational resources of Google Colab. ZeroCostDL4Micallows researchers with no coding expertise to train and apply key DL networks to perform tasks including segmentation (using U-Net and StarDist), object detection (using YOLOv2), denoising (using CARE and Noise2Void), super-resolution microscopy (using Deep-STORM),and image-to-image translation (using Label-free prediction – fnet, pix2pix and CycleGAN). Importantly, we provide suitable quantitative tools for each network to evaluate model performance, allowing model optimisation. We demonstrate the application of the platform to study multiple biological processes. Read More
The AI arms race has us on the road to Armageddon
It’s now a given that countries worldwide are battling for AI supremacy. To date, most of the public discussion surrounding this competition has focused on commercial gains flowing from the technology. But the AI arms race for military applications is racing ahead as well, and concerned scientists, academics, and AI industry leaders have been sounding the alarm.
Compared to existing military capabilities, AI-enabled technology can make decisions on the battlefield with mathematical speed and accuracy and never get tired. However, countries and organizations developing this tech are only just beginning to articulate ideas about how ethics will influence the wars of the near future. Clearly, the development of AI-enabled autonomous weapons systems will raise significant risks for instability and conflict escalation. However, calls to ban these weapons are unlikely to succeed.
In an era of rising military tensions and risk, leading militaries worldwide are moving ahead with AI-enabled weapons and decision support, seeking leading-edge battlefield and security applications. The military potential of these weapons is substantial, but ethical concerns are largely being brushed aside. Already they are in use to guard ships against small boat attacks, search for terrorists, stand sentry, and destroy adversary air defenses. Read More
MLOps: Comprehensive Beginner’s Guide
MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the latest updates in AI-powered business practices. Machine Learning Model Operationalization Management (MLOps) is a way to eliminate pain in the neck during the development process and delivering ML-powered software easier, not to mention the relieving of every team member’s life.
Let’s check if we are still on the same page while using principal terms. Disclaimer: DLOps is not about IT Operations for deep learning; while people continue googling this abbreviation, it has nothing to do with MLOps at all. Next, AIOps, the term coined by Gartner in 2017, refers to the applying cognitive computing of AI & ML for optimizing IT Operations. Finally, DataOps and ModelOps stand for managing datasets and models and are part of the overall MLOps triple infinity chain Data-Model-Code.
While MLOps seems to be the ML plus DevOps principle at first glance, it still has its peculiarities to digest. We prepared this blog to provide you with a detailed overview of the MLOps practices and developed a list of the actionable steps to implement them into any team. Read More
Artificial intelligence looks for a ‘language’ of cancer and Alzheimer’s
Researchers use machine learning to look for a biological language for disease in protein sequences.
Artificial intelligence is being used to try to crack open all kinds of problems. Some experts think that techniques used to predict what types of movies or TV shows someone will like or what word will come next in a sentence could be applied to biology. A group of researchers is hoping to use algorithms and language processing to find mistakes in cells that are causing disease, like cancer, Alzheimer’s disease and neurodegenerative disorders.
A team based at St John’s College, University of Cambridge think that machine learning technology can be used to find a kind of “biological language” for disease in the body. “Bringing machine-learning technology into research into neurodegenerative diseases and cancer is an absolute game-changer,” says Tuomas Knowles, one of the authors of the paper and a Fellow at St John’s College, in a press release. “Ultimately, the aim will be to use artificial intelligence to develop targeted drugs to dramatically ease symptoms or to prevent dementia happening at all.” Read More
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