10 Key Questions of Intelligent Computing
10 fundamental scientific questions on intelligent computing. "Can machines think?" In his ground-breaking paper "Computing Machinery and Intelligence" published in 1950, Alan Turing raised this epoch-making question for the first time. This launched
Report analyzes the impact of AI on science
A world-first report from Australia's national science agency, CSIRO, has analyzed the impact of artificial intelligence (AI) on scientific discovery, finding scientists are adopting the technology at an unprecedented rate.
Lawsuit Takes Aim at the Way A.I. Is Built
A programmer is suing Microsoft, GitHub and OpenAI over artificial intelligence technology that generates its own computer code.
An optical chip that can train machine learning hardware
A multi-institution research team has developed an optical chip that can train machine learning hardware. Their research is published today in Optica.
How WaFd embraced Amazon Lex’s conversational AI to improve and speed up telephone banking
WaFd, formerly known as Washington Federal, is now using the Amazon Lex conversational AI technology to revolutionize its phone banking.
A simpler path to better computer vision
Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing other pretraining methods that are more costly and time consuming, and less scalable.
A far-sighted approach to machine learning
A new technique enables artificial intelligence agents to think much farther into the future when considering how their behaviors can influence the behaviors of other AI agents, toward the completion of a task. This approach improves long-term performance of cooperative or competitive AI agents.
An algorithm for optimal decision making under heavy-tailed noisy rewards
In data science, researchers typically deal with data that contain noisy observations. An important problem explored by data scientists in this context is the problem of sequential decision making. This is commonly known as a "stochastic multi-armed bandit" (stochastic MAB).
Why AI needs a steady diet of synthetic data
Experts say AI itself is starving — and needs to change its diet. One company says synthetic data is the answer.
UK creates £1.5M fund to support carbon-reducing AI projects
The UK Government has launched a £1.5 million programme to support the use of AI to reduce carbon emissions.
Self-organization: What robotics can learn from amoebae
Amoebae are single-cell organisms. By means of self-organization, they can form complex structures—and do this purely through local interactions: If they have a lot of food, they disperse evenly through a culture medium. But if food becomes scarce, they emit the messenger known as cyclic adenosine monophosphate (cAMP).
Artificial Intelligence Agent Is a Winner at (the Game of) Diplomacy
An artificial intelligence (AI) agent named CICERO has mastered the online board game of Diplomacy. This is according to a new study by the Meta Fundamental AI Research Diplomacy Team (FAIR) that will be published today (November 22) in the journal Science.
Huge Potential – New AI Material Learns Behaviors and Adapts to Changing Conditions
University of California, Los Angeles engineers have developed a new class of material. University of California, Los Angeles mechanical engineers have created a new class of material that can learn behaviors over time and develop a "muscle memory" o
Prehistoric Predator? Artificial Intelligence Says Footprints Not “Vicious” Dinosaur
Prehistoric footprints thought to be made by a vicious dinosaur predator were revealed by artificial intelligence to in fact be from a timid herbivore. University of Queensland paleontologist Dr. Anthony Romilio, in an international collaboration, us
Meta's board game-playing AI can pass as a human in game negotiations
An AI developed by researchers at Meta convincingly negotiated with humans while playing an online version of the board game Diplomacy. It was also ranked in the top 10 per cent of players
Self-organization: What robotics can learn from amoebae
Researchers have developed a new model to describe how biological or technical systems form complex structures without external guidance.
Quantum algorithms save time in the calculation of electron dynamics
Quantum computers promise significantly shorter computing times for complex problems. But there are still only a few quantum computers worldwide with a limited number of so-called qubits. However, quantum computer algorithms can already run on conventional servers that simulate a quantum computer.
What Meta’s Galactica missteps mean for GPT-4 | The AI Beat
Meta’s missteps over its Galactica demo and Stanford's debut of its HELM benchmark followed weeks of rumors about OpenAI’s GPT-4.