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Machine Learning

All articles tagged with #machine learning

WiFi as Radar: Researchers Image People and Rooms Using Unencrypted Signals
technology8 days ago

WiFi as Radar: Researchers Image People and Rooms Using Unencrypted Signals

A Science Daily report says researchers used unencrypted WiFi beamforming feedback to reconstruct radio-based images of people and their surroundings, identifying individuals with nearly 100% accuracy in tests (197 participants) from multiple angles, even when the subject isn’t carrying a device. The technique relies on RF wave propagation and existing WiFi signals, meaning turning off a personal device may not stop it; once a model is trained, identification takes seconds, raising significant privacy and surveillance concerns.

via Slashdot|
#machine-learning#privacy#rf-imaging
Gemini climbs to 1B MAUs in record Google growth
technology13 days ago

Gemini climbs to 1B MAUs in record Google growth

Google’s Gemini AI has reached 1 billion monthly active users, the fastest uptake of any Google product, driven by deep integration across Android and apps like Gmail, Drive, and Search. About 63% of active users utilize voice input (with an increasing share being voice-only), and 20% of Gemini Live users share camera feeds or screens. Daily, Gemini users generate roughly 150 million AI-generated images watermark-protected by SynthID. Over 100 million MAUs are on iOS. Despite the milestone, progress on model releases has slowed (Gemini 3.5 Pro delays, Gemini 4 training underway) amid leadership changes and AI infrastructure costs, raising questions about sustainability against competition from OpenAI/Anthropic.

via Ars Technica|
#ai#gemini#google
health15 days ago

Veggie-Forward Eating Could Add Up to 8 Years to Your Life

A Canadian study using machine-learning analysis of dietary data identified three eating patterns: a vegetable-rich pattern centered on allium and colorful vegetables; a high-sugary beverage/low-fruit pattern; and a high-fat breakfast pattern. The vegetable-rich pattern was linked to the greatest longevity, with up to about 8.3 extra years for women and 6.1 for men, and lower mortality and cardiovascular risk. The sugary-beverage pattern correlated with higher mortality (up to 3.0 years lost for men and 1.7 for women). The high-fat breakfast pattern showed no clear mortality link, though it hinted at slightly shorter life expectancy. The study is observational, using Canadian surveys to map real-world eating patterns rather than single “superfoods.”

via MindBodyGreen|
#dietary-patterns#health#longevity
Sleep foundation model uncovers five risk groups beyond apnea severity
health21 days ago

Sleep foundation model uncovers five risk groups beyond apnea severity

A transformer-based sleep foundation model trained on 10,000 high‑resolution PSG studies linked to EMRs learns rich sleep-physiology embeddings that identify five prognostic risk groups with markedly different mortality, cardiovascular, and neurologic outcomes, outperforming conventional AHI-based severity. External validation in the Sleep Heart Health Study confirms generalizability, suggesting embedding-based risk stratification could enable precision sleep medicine and targeted monitoring, while acknowledging limitations and the need for prospective trials.

via Nature|
#foundation-model#health#machine-learning
ProteinGuide enables on-the-fly conditioning of protein design models with experimental data
biotech26 days ago

ProteinGuide enables on-the-fly conditioning of protein design models with experimental data

ProteinGuide provides an inference-time conditioning framework that lets a broad class of protein sequence generators (including masked language models like ESM3, autoregressive models like ProteinMPNN, and discrete-space diffusion/flow models) be guided by auxiliary experimental data without retraining. Built on a unifying statistical approach, it enables designs targeting properties such as stability and activity, supports multi-property Pareto optimization, and, when combined with wet-lab data, can enhance in vivo base-editor activity beyond multi-round directed evolution. The work provides code and data (Zenodo, GitHub) and a ProteinGen package to facilitate design workflows.

via Nature|
#bioengineering#biotech#experimental-data
Claude’s J-Space: A Digital Global Workspace for AI Reasoning
technology1 month ago

Claude’s J-Space: A Digital Global Workspace for AI Reasoning

Anthropic researchers describe an internal activation subspace in Claude called J-space that acts like a global workspace, enabling deliberate reasoning and five cognitive properties of conscious access (verbal report, directed modulation, internal reasoning, flexible generalization, and selectivity). They also introduce J-Lens to inspect this hidden reasoning, arguing that its existence carries significant safety and alignment implications—from detecting hidden dispositions to auditing self-awareness—though critics say the findings don’t prove true consciousness and remain debated.

via Slashdot|
#ai#consciousness#j-space
AI-Powered ESG Tracker Reveals Growing Disclosure and Mixed Performance in Europe’s Largest Firms
business1 month ago

AI-Powered ESG Tracker Reveals Growing Disclosure and Mixed Performance in Europe’s Largest Firms

A Nature Communications study builds an open-source ML pipeline to extract 501 ESG indicators from 9,173 corporate reports (2014–2023) for 600 European firms, enabling measurement of ESG transparency (indicator presence) and performance (numerical values). It finds an overall rise in transparency (average indicators disclosed per year up 52.5% from 2014 to 2023) and a narrowing gap between top- and bottom-rated firms (top decile discloses 22% more indicators than bottom in 2023, vs 39% in 2014). Environmental performance is mixed: direct emissions (scope 1/2) fall substantially while scope 3 emissions rise largely due to broader disclosure (with travel emissions dropping during COVID). Social indicators show progress in gender representation but uneven pay and retention metrics; governance indicators are mixed, with rising lobbying but high board independence. The authors emphasize data transparency, provide an open dataset and retrieval-augmented generation framework for ongoing monitoring by policymakers, investors, and researchers.

via Nature|
#business#esg#esrs
Open-Source GLM-5.2 Triggers AI Security Alarm
technology1 month ago

Open-Source GLM-5.2 Triggers AI Security Alarm

As Anthropic tightens rollout of Mythos 5 and Fable 5 under U.S. security concerns, Beijing-based Z.ai releases GLM-5.2 as an open-weight model that anyone can download and run locally, potentially bypassing vendor safeguards. Researchers say GLM-5.2 can identify software vulnerabilities and assist cyber tasks, while reports of jailbreaks and forums trading exploits highlight the heightened risk of open-source AI enabling misuse.

via Futurism|
#ai#cybersecurity#machine-learning
ML maps Alaska's hidden Yakutat edge, linking quakes to a deep subducted microplate
science1 month ago

ML maps Alaska's hidden Yakutat edge, linking quakes to a deep subducted microplate

A machine-learning study analyzes 2018–2021 seismic data to map a 250-km, razor-sharp edge of the Yakutat microplate beneath Alaska, extending under the North American plate and along the Denali fault. This hidden edge illuminates how the subducted slab shapes stress and earthquake nucleation in the region, including the 2002 magnitude-7.9 Denali quake, and suggests a broader, dynamically interacting plate boundary that influences regional volcanic activity.

via ScienceAlert|
#denali-fault#machine-learning#plate-tectonics
Gut microbiome clues point to earlier colorectal cancer detection
health1 month ago

Gut microbiome clues point to earlier colorectal cancer detection

A large study identifies a consistent gut microbiome signature in stool that tracks with colorectal tumors across ages, suggesting potential for earlier detection. The cancer-associated microbiome is stronger with low dietary fiber and weaker with higher fiber, while ultra-processed foods are linked to rising colorectal cancer in younger adults. Researchers caution this is not yet a diagnostic test, but it advances understanding of microbiome-disease links and prevention prospects.

via New York Post|
#colorectal-cancer#diet#early-detection
Birds Speak Back: Zebra Finch Dictionary Wins $100,000 Prize
science2 months ago

Birds Speak Back: Zebra Finch Dictionary Wins $100,000 Prize

UC Berkeley researcher Dr. Julie Elie mapped 11 core zebra finch calls to meanings using long-term observations and machine learning, demonstrating two-way communication potential and earning the $100,000 Coller-Dolittle prize. The work reveals signature vocal identities and how birds can confuse similar-meaning calls, marking a milestone toward human–animal dialogue and optimism for further breakthroughs by 2030.

via The Guardian|
#animal-communication#coller-dolittle-prize#interspecies-communication
AI unlocks new lines from ancient Herculaneum scrolls scorched by Vesuvius
science2 months ago

AI unlocks new lines from ancient Herculaneum scrolls scorched by Vesuvius

Researchers have used machine-learning and high-resolution imaging to read roughly five feet of text from carbonized Herculaneum scrolls torched by Mount Vesuvius, including newly uncovered passages from Philodemus’s On Gods, in a project tied to the Vesuvius Challenge that aims to reveal more hidden writings without damaging the fragile manuscripts.

via The Washington Post|
#archaeology#herculaneum-scrolls#machine-learning