5 ways machine learning must evolve in a difficult 2023
As we enter a potentially challenging 2023, machine learning (ML) needs to evolve to become smarter, more efficient and more effective.Read More
Trump’s Indictment Marks a Historic Reckoning
A Manhattan grand jury has issued the first-ever indictment of a former US president. Buckle up for whatever happens next.
A method for designing neural networks optimally suited for certain tasks
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to diagnosing whether a patient has a certain disease. But researchers still have only a limited understanding of how these models work. …
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Autonomous agents and decentralized ML on tap as Fetch AI raises $40M
To support intelligent agent and distributed blockchain technology, Web3 infrastructure provider Fetch AI has raised a fresh $40 million.Read More
The US Is Sending Money to Countries Devastated by Cyberattacks
The White House is providing $25 million to Costa Rica, after giving Albania similar aid following aggression by hackers linked to Iran.
New chip design to provide greatest precision in memory to date
Everyone is talking about the newest AI and the power of neural networks, forgetting that software is limited by the hardware on which it runs. But it is hardware, says USC Professor of Electrical and Computer Engineering Joshua Yang, that has become “the bottleneck.” Now, Yang’s new research with collaborators might change that. They believe …
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Google and Replit Join forces to challenge Microsoft in coding tools
Cloud-based coding platform Replit partners with Google Cloud to provide access to Google’s AI and infrastructure — and challenge Microsoft.Read More
Preschoolers prefer to learn from a competent robot than an incompetent human
Researchers found that preschoolers prefer learning from what they perceive as a competent robot over an incompetent human. This study is the first to use both a human speaker and a robot to see if children deem social affiliation and similarity more important than competency when choosing which source to trust and learn from.
Strengthening trust in machine-learning models
Probabilistic machine learning methods are becoming increasingly powerful tools in data analysis, informing a range of critical decisions across disciplines and applications, from forecasting election results to predicting the impact of microloans on addressing poverty.
5 ways OpenAI’s ChatGPT plugins could change the AI game | The AI Beat
What are the implications of ChatGPT plugins, OpenAI’s latest chess move? Here are five key possibilities.Read More