Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

You will be redirected to our submission process. Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex neural signals, opening new ...

A poisoned npm package infected 140+ projects with a hidden payload. This report highlights how to detect, hunt, and defend ...

For many renters, signing a lease can be one of the most important – and intimidating – financial decisions they make.

Abstract: In this paper, the paradigm of the traditional iterative decoding schemes for the uplink large-scale MIMO detection is extended by sampling in an Markov chain Monte Carlo (MCMC) way.

Abstract: A brain-computer interface (BCI) that decodes speech directly from neural activity provides a rapid and natural means of communication for individuals with speech impairments or aphasia.

Microsoft’s AutoJack research shows how a malicious webpage rendered by an AI browsing agent can reach local MCP services and ...

The Connectionist Temporal Classification loss. Calculates loss between a continuous (unsegmented) time series and a target sequence. Long Short-Term Memory (LSTM) is a type of Recurrent Neural ...

ThreatsDay Bulletin covers AI abuse, poisoned packages, phishing, macOS attacks, SD-WAN flaws, scams, and supply-chain ...

Researchers at Cyera found six vulnerabilities in prtobuf.js, including a flaw that can turn attacker-controlled schema data ...

“Our customers rely on us to provide a comprehensive view of their fleet’s performance and deliver the insight necessary to make fully-informed strategic decisions. Collaborating with the J.D. Power ...

# set CUDA_HOME to the virtual environment halc export CUDA_HOME=$CONDA_PREFIX # install GroundingDINO cd decoder_zoo/GroundingDINO pip install -e . # go back to HALC ...