The Book of Minds, a book by Philip Ball, gives you a framework for looking past your instinctive tendency to view things through the lens of your own mind and experience. | Continue reading
Advances in AI have helped automate many tasks that involve processing text. However, text-processing AI algorithms have their own unique vulnerabilities. | Continue reading
According to a research paper by scientists at UCLA, transformers, the deep learning architectures used in LLMs, don’t learn to emulate reasoning functions. | Continue reading
A study by researchers at Arizona State University shows large language models perform very poorly at tasks that require methodical planning. | Continue reading
Neural architecture search NAS is a series of machine learning techniques that can help discover optimal neural networks for a given problem. | Continue reading
Here's what you need to know about developing applications with OpenAI's GPT-3 API. | Continue reading
In "Birth of Intelligence" neuroscientist Daeyeol Lee provides a fresh perspective on the evolution of intelligence and its implications for AI. | Continue reading
A new study by MIT Lincoln Laboratory shows Hanabi players are frustrated when teamed up with top-performing reinforcement learning systems. | Continue reading
DeepMind has finally become profitable. But it is also becoming inextricably tied to its parent company Google. | Continue reading
In his book, "The Myth of Artificial Intelligence," computer scientist Erik Larson discusses how widely publicized misconceptions have led AI research down narrow paths that are limiting innovation and scientific discoveries. | Continue reading
The "considered response" theory of intelligence provides new pathways for creating artificial general intelligence. | Continue reading
Copilot, a source code generator developed by GitHub and OpenAI, provides interesting hints about the future directions of the software industry and the business of large language models. | Continue reading
Google's scientists developed a reinforcement learning system that can design floorplans for AI chips. The achievement shows proves how humans and AI can collaborate together. | Continue reading
At Google's workshop on the conceptual understanding of deep learning, award-winning computer scientist Christos Papadimitriou discussed brain assemblies and their correspondence with artificial intelligence. | Continue reading
IBM’s AI research division has released Project CodeNet, a 14-million-sample dataset to develop machine learning models that can help in programming tasks. | Continue reading
Machine learning systems thrive on finding and exploiting statistical regularities. This is why they can’t do causal reasoning. | Continue reading
In 2018, when the price of bitcoin dropped from an all-time high of around $20,000 to less than $6,000, a lot of people thought cryptocurrencies are dead. But today, the cryptocurrency market is on… | Continue reading
To encourage reproducibility in machine learning research, Papers Without Code, a new website, will regularly publish a list of unreproducible ML papers. | Continue reading
OpenAI gives easy access to GPT-3. But building a successful product is more than just putting a nice user interface on the massive AI language model. | Continue reading
Microsoft's self-driving car strategy allows the company to solidify its position in AI and cloud while protecting it against fundamental changes in the SDC industry. | Continue reading
We are still learning how to cope with adversarial machine learning. Security researchers are used to perusing code for vulnerabilities. Now they must learn to find security holes in AI systems composed of millions of numerical parameters. | Continue reading
After being acquired by Hyundai, Boston Dynamics will have a chance to create a profitable robots business. But the benefits are not without tradeoffs. | Continue reading
Big tech companies have the experts, the infrastructure, and the environment to help data scientists develop their skills and find new challenges. | Continue reading
By Micaela Kaplan Creating an ethical business and customer experience (CX) begins with understanding the interactions that impact the business every day. To do so, many leading organizations colle… | Continue reading
By Lena Jaschke When was the last time you stepped completely out of your comfort zone and joined a department and position that are not in line with your CV? It might feel intimidating for some, a… | Continue reading
Neuroscience-inspired deep learning architectures are more resilient to adversarial attacks, researchers at MIT and IBM have found. | Continue reading
AI researchers at Darwin AI and the University of Waterloo have established a set of metrics to measure trust in deep learning models | Continue reading
Hackers can implant backdoors on deep neural networks without leaving a trace, researchers at the Germany-based CISPA Helmholtz Center for Information Security have found This article is part of ou… | Continue reading
The AI Advantage explores which which businesses are leveraging advances in artificial intelligence and what works and what doesn't in the field. | Continue reading
These tips will help you determine which Python machine learning book suits you. | Continue reading
Nvidia's Maxine uses deep learning to improve the video conferencing experience. We took a look under the hood to see how it works. | Continue reading
Machine Learning Algorithms, Second Edition, by Giuseppe Bonaccorso, is a good complement for those who have a solid knowledge of Python machine learning. | Continue reading
New research shows why methods for pruning deep neural networks before training fall short of providing optimal results. | Continue reading
Data poisoning attack target the training of machine learning algorithms and cause them to behave maliciously during inference. | Continue reading
In The Big Nine, Amy Webb discusses the consequences of not fixing the broken state of artificial intelligence. | Continue reading
Microsoft’s exclusive license to OpenAI’s GPT-3 language model can boost the AI lab’s search for a viable business model. It can also break it. | Continue reading
The mathematics of machine learning is complicated. But it can become pleasant if you know where to start your learning journey. | Continue reading
Will OpenAI's pricing plan for GPT-3 be able to turn the massive AI language model into a profitable business? | Continue reading
The Game of Life is based on very simple rules, but artificial neural networks struggle to learn its rules through the classic deep learning training process. | Continue reading
The Guardian ran an article written by OpenAI's language model GPT-3. The text is amusing, but misrepresents advances in artificial intelligence. | Continue reading
In the process of creating the largest language AI system, OpenAI has gradually morphed from a nonprofit AI lab to a company that sells AI services. | Continue reading
Tesla CEO Elon Musk believes level 5 self-driving cars will be completed by the end of 2020. But the limits of deep learning will make it unlikely. | Continue reading
Black-box adversarial reprogramming can repurpose neural networks for new tasks without having full access to the deep learning model. | Continue reading
Cognitive scientist Gary Marcus argues why hybrid artificial intelligence, the combination of neural networks and symbol manipulation, can create robust AI. | Continue reading
Technology does have the power to help us combat racism. But first, we need to combat the racism in technology. | Continue reading
Machine learning will automate many repetitive tasks in fending off cyberthreats. But cybersecurity is still a human discipline, AI is the complement. | Continue reading
Many people ignore the difference between artificial intelligence and machine learning, which can have adverse effects if done with ill purpose. | Continue reading