Brain · AI · Top Stories
A curated, continuously updated feed of the most consequential stories at the intersection of artificial intelligence and human cognition. Most items link straight to the social media post where the news is breaking. Tap a headline to read the thread, or submit a story.
Researchers have developed Brain-IT, an AI tool that reconstructs visual information from fMRI scans, building on years of work decoding images from brain activity. The advance improves the accuracy of brain-to-image reconstruction and renews questions about the privacy of neural data, including whether inner experiences such as dreams could one day be decoded.
Researchers report an AI system that analyzes brain scans to reconstruct the images a person is seeing. The work adds to a growing body of brain-decoding research, with potential implications for communication aids and for understanding visual processing, though such methods typically require extensive per-person scan data.
Boston-based neurotech company Neurable has released the Neurable One, premium wireless headphones with built-in EEG sensors that use AI to interpret brain activity. The launch is an example of consumer neurotechnology entering everyday devices, with uses such as tracking focus and cognitive state.
Researchers used a visual illusion to expose differences between how biological brains and current AI vision systems process images. The findings point to specific computations in human vision that AI still lacks, which could guide the design of more brain-like vision models.
A perspective in Nature Reviews Psychology draws on developmental science, including research on how social interaction shapes early speech and language learning, to inform how generative AI should be designed and used with young children. It addresses questions about the effects of AI companions and tools on cognitive and social development.
A Florida State University chemist, Sang, received a Florida Cancer Innovation Fund grant to identify new pediatric cancer treatments, including for brain cancer, from existing medicines. The project will use AI to rapidly sift large datasets for repurposing candidates, an approach that could shorten development timelines for childhood cancers with limited treatment options.
Diagnostic Imaging's monthly roundup covers recent developments in AI-powered imaging, including research applying AI to brain MRI data. One highlighted item explores the potential for improved risk stratification in patients with diabetes, reflecting growing interest in AI-derived neuroimaging markers for systemic disease.
Researchers developed an AI-based model to predict recurrence of glioblastoma, the most common and lethal malignant adult brain tumor, which has a median survival of about 17 months. Anticipating recurrence could help clinicians tailor and target treatment more precisely.
Precision Neuroscience, a brain-computer interface company founded by former Neuralink executives and researchers, has raised $250 million, according to a weekly startup funding roundup. The round is among the larger recent investments in the BCI sector and adds to the capital available for clinical development of neural interface technology.
The NHS is piloting a rapid genomic test intended to speed up diagnosis of brain tumours. The accompanying report also notes £20 million in government funding to expand AI chest X-ray tools to every NHS trust in England by 2029.
In an interview, Subsense CEO and co-founder Tetiana Aleksandrova discusses NanoBCI, a non-surgical, bidirectional brain-computer interface the company is developing for communication, AI interaction, and digital control. The approach aims to offer BCI capabilities without the surgical implantation required by most high-bandwidth systems.
Precision Neuroscience closed a $250 million Series D round, bringing its total funding to $430 million. The raise is part of a broader surge in investment into brain-computer interface startups.
Research on students using AI writing tools found the AI-assisted group struggled to recall content from their own essays and showed lower brain activity when later writing unaided. The findings raise concerns about AI's effects on learning, memory, and cognitive engagement in education.
Researchers used artificial intelligence to analyze brain activity patterns across people of different ages, estimating biological brain age. The study suggests that speaking multiple languages is associated with slower brain aging, with multilingual individuals showing brains up to 13 years younger than expected.
While AI tools boost productivity, MIT EEG research found that writers using large language models showed lower brain engagement compared to those writing unaided, raising concerns about 'cognitive debt' and the erosion of human cognitive capability with reliance on AI.
Science Corporation founder Max Hodak argues that treating the brain as a computer reshapes how medicine approaches neurological conditions and brain-computer interfaces. The piece discusses BCI development beyond simple text input and connections between neuroscience and leading AI labs.
A specialized brain imaging AI trained on 5.24 million hospital MRI and CT volumes outperformed GPT-5 by 21.4 percentage points on identifying critical radiology findings in a real-world hospital trial, highlighting the advantage of domain-specific models over general-purpose LLMs in medical imaging.
A commentary examines Meta's AI research that decodes brain activity to reconstruct sentences typed by participants. The piece notes the achievement is significant but distinct from true mind-reading, as the system reconstructs known typed input rather than freely reading thoughts.
Meta's FAIR team demonstrated Brain2Qwerty v2, a system that translates brain activity into typed sentences using non-invasive recordings rather than surgical implants. The work signals progress toward brain-computer interfaces that do not require invasive procedures.
Researchers combined recordings from individual neurons with artificial-intelligence techniques to identify specific brain cells involved in speech production. The findings could advance understanding of how the brain generates language and inform future speech-restoring neurotechnology.
A report describes advanced brain-interfacing technology aimed at restoring sensory functions including touch and vision, integrating AI-driven approaches. Such neural interfaces could offer new avenues for people with sensory impairments.
Scientists studied the brain circuitry linking visual perception and cognition, using AI models to complement brain scans that lack single-cell resolution. The work sheds light on how neural activity supports both seeing and thinking.
Meta unveiled Brain2Qwerty, an AI-powered brain-computer interface that translates brain activity into typed text. The system is aimed at aiding communication for people with neurological disorders.
Researchers report using a brain-computer interface headset to detect covert consciousness in patients with brain injuries who appear unresponsive. The approach could help identify awareness that standard bedside assessments miss, informing diagnosis and care decisions.
Curated for educational purposes. Story summaries are condensed from public reporting; tap through to the original source for the full context.
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