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AI and machine learning research, funding and breakthroughs

Free, cited research on where artificial intelligence is actually moving: the papers, patents and funded awards behind foundation models, AI safety, edge AI and autonomous agents.

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Research reports
83
Daily briefings
Latest
What we monitor

AI & Machine Learning: the research

Artificial intelligence produces more announcements than any other field we cover, and most of them are not evidence. KPsphere follows the record underneath the announcements: new papers and preprints on model architectures and training methods, patent filings on inference hardware and applied systems, federal grant and contract awards for AI research, and company filings that show where money is going.

Coverage includes foundation models, large language models, multimodal AI, federated learning, edge AI, neuromorphic computing, AI safety and alignment, autonomous agents, computer vision and reinforcement learning.

The public reports below are AI-assisted research drawn from the databases shown here: AI models search those sources and draft the analysis from them, an automated check tests key claims against the same evidence, and key findings link to their sources. The AI is instructed to say where the evidence is thin.

How the research is made→

Sources searched for this sector

Papers, preprints and technical reports
OpenAlex, arXiv, Semantic Scholar, CrossRef, DOAJ, DOE OSTI
Funding awards
NSF awards, USAspending.gov, Grants.gov, UKRI Gateway to Research, OpenAIRE
Patents
Google Patents, USPTO
Company filings
SEC EDGAR
Code
GitHub
Free to read

Latest AI & Machine Learning research

The newest of 36 public research reports in this sector, each linked to the papers, patents and awards behind it.

Full report

The robot fingertip with a camera inside that feels texture and slip: vision-based tactile sensors for AI hands

Camera-based robot fingertips that sense texture and slip are no longer only laboratory instruments.

Full report

The wearable magnet-sensor helmet whose AI redraws the images you see, millisecond by millisecond

The wearable helmet now exists as a research instrument, but the image-redrawing AI does not yet exist on it.

Full report

The GPU that stores game textures as tiny neural networks: neural texture compression cutting VRAM use

Neural texture compression (NTC) replaces conventional block-compressed game textures with small learned networks that are decoded on the GPU at the moment a pixel is…

Full report

The GPU that proves where it is: latency-based location verification chips to enforce AI export controls

Latency-based location verification can already be delivered on shipping AI accelerators through firmware and software, without new silicon.

Full report

The earbud chip that separates one voice from a crowd in under 10 milliseconds, on 1 milliwatt

The technical problem of separating one talker from a crowd in real time is solved in the research literature and partially solved in shipping products, but the…

Full report

The Glass Chip Where Light Trains a Neural Net Without Any Electricity

The premise in the title is half true, and the half that is false is the commercially important half.

Full report

The Reservoir of Slosh Inside a Chip That Remembers Sound Without Being Trained

A class of sensor is emerging that performs the first layer of signal classification inside the transducer itself, using the physical dynamics of a moving mass, an ionic…

Full report

The chip that computes with thermal noise instead of fighting it

Thermodynamic and probabilistic computing has crossed from physics demonstration into silicon product engineering, and it did so faster than the 2023 consensus expected.

Full report

The Deleted Knowledge That Comes Back After 10 Examples

Machine unlearning — the family of techniques used to remove specific data, capabilities or copyrighted content from a trained model without retraining it — does not…

Recent daily briefings on AI & Machine Learning

Open federal contracts and grants to browse

Open SAM.gov contract notices and Grants.gov opportunities, listed by agency and industry code. Each list covers its whole agency or code, not only AI & Machine Learning work, so check each official notice before acting. The lists are KPsphere AI ScoutBOT’s free public directory, refreshed nightly.

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The public reports above are free to read. A subscription adds research on AI & Machine Learning, not published on the site.

Cover of the KPsphere sample report

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A sample report, made for the plans page, is free to read in full, so you can judge the depth, the charts and the sourcing before paying for anything.

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Questions

AI & Machine Learning research: common questions

Who is funding AI research in 2026?

Public funding for AI research is recorded in award databases, and those are the records KPsphere reads: NSF awards, federal grants and contracts on USAspending.gov and Grants.gov, UK Research and Innovation projects, and European projects in OpenAIRE. Where a report finds awards on its topic, it names them and links to the award record, so the funder and the amount can be checked at the source.

Where can I find SBIR and STTR awards for AI?

SBIR and STTR awards are federal awards, so they appear in the federal award data KPsphere searches, including NSF award records and contracts and grants on USAspending.gov, when they match the topic a report is researching. KPsphere does not query SBIR.gov directly, so for a complete list of one agency's SBIR or STTR awards, SBIR.gov remains the primary source.

Which AI startups are raising money?

Public-company activity shows up in SEC EDGAR filings (8-K, 10-K, 10-Q and S-1), and company work shows up in patent filings and federal contract awards. Private funding rounds are largely invisible to open databases, so deep-research reports add a web search for company announcements and keep a result only when it comes with a live source link.

What are the latest AI breakthroughs?

The newest public AI & Machine Learning reports are listed on this page, newest first. The most recent item in this sector was published on Oct 10, 2026. Key findings in each one link to their sources (recent papers and preprints, patents, awards and filings), so a claimed breakthrough can be checked against the published result.

What does KPsphere cover in AI & Machine Learning?

Coverage includes foundation models, large language models, multimodal AI, federated learning, edge AI, neuromorphic computing, AI safety and alignment, autonomous agents, computer vision and reinforcement learning. The research is AI-assisted: AI models search those sources and draft the analysis from them, an automated check tests key claims against the same evidence, and key findings link to their sources.

Is KPsphere's AI research free?

Yes. Every report listed on this page is free to read, and so is the daily briefing, one email each morning rotating across all twelve sectors, AI & Machine Learning among them. The paid Sector Watch plan, $50 a month, adds subscriber-only research on one sector you choose: Four subscriber-only deep-research reports a month on your sector, plus a monthly sector landscape.