AI News Radar

On August 26, 2026 at 10:00 am PT (1:00 pm ET), Intel will present the webinar “Multi-Agent & Hybrid AI with Intel® AI Super Builder and OpenVINO™ Model Server.” Here’s the description, from the event registration page: In this session, we’ll walk through a practical approach to building AI applications using Intel® AI Super Builder, […] The post Upcoming Webinar on Intel AI Super Builder and Ope…

Avnet Silica details why sustained performance, not peak compute, will define the next phase of edge AI. The post Why Sustained Performance Defines the Next Phase of Edge AI appeared first on Embedded .

SensWear is an open source, full-stack platform built to fast-track your wearable tech from concept to working prototype.

QuadBoat is a spider-inspired robot built to locate, retrieve, and transport drowning victims to safety when every second counts.

Ritik Shrivastava, Solutions Architect at BrainChip, demonstrates Akida micro-doppler radar classification, a powerful radar-based object classification solution that runs entirely on-device without internet connection. Shrivastava showcases a live demo using BrainChip’s AKD1500 card attached to a Raspberry Pi, where the system detects and classifies between a bird and drone target in real time u…

Tharak Krishnan, Director of Product Management at BrainChip, demonstrates the AKD1500 — BrainChip’s ultra-low power Edge AI Co-Processor — at the 2026 Embedded Vision Summit. Already deployed in real-world applications such as epileptic seizure prediction and drowning swimmer detection, the AKD1500 is purpose-built for use cases where power consumption and battery life are critical constraints. …

This video was originally published at OpenCV’s website. It is republished here with the permission of OpenCV. Our guest is Alireza Taheritajar, a Ph.D. Student an Augusta University focusing on In-Situ Intelligent Mixed Reality Assistants for Adaptive Human-AI Collaboration. Mixed-reality overlays have been around for awhile, but with the recent upgrades in camera quality, lens […] The post In-S…

In an attempt to circumvent the reality of the square-cube law, Roetz 4.0 is doing some very interesting experiments with 3D printing tubes.

The new Piccola desktop CNC mill is open source, so it will never be obsolete.

HILLSBORO, Ore.–(BUSINESS WIRE)–Jul. 27, 2026– Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced the completion of its acquisition of AMI. First announced on May 4, 2026, the acquisition creates the industry’s most complete secure management and control platform. The acquisition is expected to be accretive to gross margin, free cash flow, and ear…

CHANDLER, Ariz., July 24, 2026 (GLOBE NEWSWIRE) — (NASDAQ: MCHP) – Microchip Technology Incorporated, a leading provider of smart, connected, and secure embedded control solutions, today announced that it has signed a definitive agreement to acquire Hailo, a provider of accelerated edge AI processors, advanced vision processing solutions, robotics processors and comprehensive AI software flows. […

BrainChip Inc. has introduced a new M.2 version of its AKD1500 edge AI accelerator, enabling compact, fanless, and plug-and-play deployment of neuromorphic artificial intelligence capabilities in industrial and commercial systems. Based on the Akida neuromorphic processor architecture, the module provides hardware designers with a low-power solution for adding on-device AI functionality to existi…

NI Nigel AI enhancements accelerate test productivity by up to 50 percent. The post Emerson Expands AI Capabilities Across Test Environment appeared first on Embedded .

NC State researchers built a solar-powered wearable patch that alerts users to toxic hazards through distinct vibration patterns.

UTSA’s new Genesis chip mimics the human brain to prevent AI memory loss and enable ultra-low-power, lifelong learning.

News Summary: NVIDIA expands NVIDIA Agent Toolkit with re-architected NVIDIA PhysicsNeMo libraries and updated NVIDIA CUDA-X libraries, enabling software developers to build autonomous AI engineers with AI physics skills, accelerated solvers and quantum chemistry capabilities. NVIDIA Nemotron 3 Ultra leads among open models in agentic register-transfer level coding with the ACE-RTL agent from NVI…

Augmental’s MouthPad turns the roof of your mouth into a touchpad, giving people with limited mobility hands-free control of devices.

Using 3LC’s visualization dashboard, we can quickly recognize patterns within the wildfire detection dataset and address ground-truth labeling inaccuracies. Firstly, by visualizing how images are distributed in the model’s latent embedding space, we can intelligently remove redundant scenes that are feeding the model duplicate information. Next, by applying filters to key prediction metrics we ca…

3LC Hub provides a centralized platform for managing and organizing the datasets that power AI systems. Using advanced data-centric AI algorithms, the platform continuously analyzes your data and surfaces actionable recommendations to identify labeling issues, uncover edge cases, improve data quality, and optimize model performance. Users can seamlessly launch into the appropriate views and workf…

This blog post was originally published at Infineon’s website. It is reprinted here with the permission of Infineon. Infineon and Hackster.io have launched PSOC™ Edge City, a guided educational developer program designed to build practical expertise with PSOC™ Edge technologies — at your own pace, through structured learning and hands-on challenges. What Is PSOC™ Edge City? […] The post Introduci…

You can now make custom apps to control your camera easily! This news blog post was originally published at OpenMV’s website. It is reprinted here with the permission of OpenMV. Hi Everyone! We’re finally here! v5.0.0 of the OpenMV firmware has been released! The new firmware finally takes the OpenMV AE3 and N6 out of beta […] The post OpenMV V5.0.0 Firmware Released! appeared first on Edge AI an…

Lower-cost, lower-power edge AI accelerator gives designers a plug-and-play path to upgrade legacy systems to Akida LAGUNA HILLS, Calif. – July 28, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low power, fully digital, event-based neuromorphic AI, today announced that its AKD1500 chip based on the Akida™ neuromorphic […] The post BrainChip AKD1500 …

NightRun boots local LLMs directly on a Raspberry Pi’s bare metal.

TDK and LG Innotek have entered into a strategic partnership to develop sensing technologies for physical AI applications, with an initial focus on next-generation vision and tactile sensing modules for humanoid robots. The collaboration combines LG Innotek's expertise in optical systems and ultra-precision module design with TDK's sensor technology portfolio to create integrated solutions that […

You can now log pro-level metrics from your RC car.

Open Sauce felt like seeing Hackster in physical form: project stories, builder curiosity, and community impact all gathered in one place.

After early proof-of-concept demonstrations, quantum computing (QC) and quantum sensing (QS) are quickly moving toward practical technologies. While much focus is devoted to increasing the number of qubits to make quantum processors more capable, an equally important effort is directed at improving their quality. Quantum systems are extremely sensitive to the environment they interact with, [...]…

David Jarmon, Sr. VP of Worldwide Sales at Visionary.ai, and Guy Ben Haim, Sr. Staff Product Manager, discuss Visionary.ai’s advanced AI-powered ISP demo. The solution delivers exceptional video quality with industry-leading low-light and HDR performance, improved detection accuracy, a modular pipeline, and low-power, on-chip deployment—highlighting adaptable, software-defined image processing. S…

Viswateja Nemani, Sr. Staff Solutions Architect, showcases NVIDIA’s Programmable Vision Accelerator (PVA), a low-power VLIW/SIMD processor built with ASIP Designer using custom instructions tailored for vision and image workloads. The live demo runs real-time stereo depth on the PVA, illustrating how heterogeneous compute on the Jetson Orin NX lets specialized accelerators handle vision while the…

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. Every electronic device we use today, from smartphones and medical monitoring systems to industrial machines and automotive control units, depends on a well-designed Printed Circuit Board (PCB). The PCB acts as the backbone of modern electronics, enabling components […] The post Fr…

James Brown (AKA “Ancient”) embraced the bizarre and built this very unique modern interpretation of the mechanical television.

M5Stack's PowerHub is like a battery-powered ESP32 development device built to control power to anything you want.

Synopsys has expanded its agentic AI strategy for electronic design automation (EDA) by introducing autonomous chip design workflows developed in collaboration with AMD and Microsoft. The new workflows are available for evaluation on Microsoft Discovery and are designed to automate complex engineering tasks across the semiconductor design lifecycle, from design implementation through verification…

The COM-HPC module targets physical AI applications in rugged environments. The post Congatec Launches Ryzen AI-based COM-HPC Module appeared first on Embedded .

The Centauri Carbon 2 has one problem and that is exposed spools. Now Elegoo is launching a solution: the Elegoo H1 HT filament dryer.

This project from Jon Morris Smith is perfect for UK-based commuters and train enthusiasts.

FalconS1 Pro simplifies industrial edge AI with powerful hardware, local processing, and low-code tools to eliminate cloud delays.

Here's a roundup of this week's must-read articles. We'll look at the latest developments in hybrid microcontrollers (MCUs), low-power embedded design, and the pros and cons of MCU hardware and software peripherals. Also, check News Archives - Embedded and Technical Articles Archives - Embedded for the complete list of news and articles from our website. NEWS Siemens Expands EDA [...] The post Hy…

EMASS, a Nanoveu subsidiary focused on ultra-low-power edge AI semiconductor technology, has partnered with Bosch Sensortec to develop a reference architecture for intelligent asset tracking. The platform combines edge AI processing with multimodal sensing to enable battery-powered tracking devices capable of analyzing data locally and transmitting only relevant events, reducing power consumption…

Minimizing average current is the key to achieving long battery life. The post Low-Power Embedded Design: Are You Optimizing the Wrong Thing? appeared first on Embedded .

Data center and fiber network solutions provider DC BLOX has obtained a new green Senior Secured Credit Facilities loan for $850 million, up from the original $265 million. The financing will support the company's development of hyperscale data centers throughout the southeastern U.S. The additional capital will also support existing and future projects, including those already pre-leased. “Our b…

Edgecore Networks unveiled its Praxis edge AI services platform for AI service providers at this year’s MWC. Praxis is built for managed service providers, Internet service providers and AI-driven SaaS and VaaS products. The platform supports its five hardware configurations through Synaptics Incorporated and Qualcomm Incorporated from 1 to 70 TOPS. "AI is moving to the edge, and the companies th…

Edge AI infrastructure solutions provider Armada announced a 500+ job deal with Johnson Controls to construct modular data centres at a new plant in Arizona. Armada raised $230M in an oversubscribed Series B round, valuing the company at $2B. The funds will expedite deployment of the U.S. AI stack while meeting growing demand from customers across various industries. "The AI race will not be won …

Structure Research , an independent digital infrastructure research and consulting firm published its 2026 State of Environmental Impact Report . The report tracks developments from 2020-2025 with metrics such as carbon emissions, energy consumption, renewable energy use, and water consumption from reported environmental data from 38 data center providers and nine hyperscale cloud platforms. In 2…

Blackstone and Google are forming a joint venture to create a new TPU cloud company. Google Cloud said it will provide data center capacity and operations, networking, and access to the Google Cloud Tensor Processing Units ( TPUs ). Alternative asset manager Blackstone plans to kickstart the new business with a $5 billion investment that will add 500 MW of capacity in 2027. “This joint venture wi…

Webinar: Rise of the Neocloud and Future of AI Infrastructure Thursday May 28, 2026 | 10am PT / 1pm ET Join Structure Research for an update, analysis and discussion about the emerging Neocloud infrastructure services market. We will trace the neocloud sector's short history and draw parallels with first generation cloud and the rise of hyperscale. This session features proprietary marketshare da…

Red Hat announced expanded capabilities for sovereign and private clouds, empowering organizations with greater data and technology control. New features include simplified compliance, production-ready landing zones, and rapid deployment of AI and cloud services. Building on-premises telemetry for data sovereignty and localized software delivery for regional resilience, Red Hat are rolling out a …

Iceotope , a provider of liquid cooling solutions, raised $26 million in a Series B funding round. Proceeds will be utilized to advance product development, broadening of the patent portfolio, and accelerate partnerships. The round, one of the largest ever for cooling technologies, was co-led by Two Seas Capital and Barclays Climate Ventures to reinforce interest in climate-smart solutions. "Secu…

IREN , a vertically integrated AI cloud provider has signed a five-year AI infrastructure cloud services contract with NVIDIA . The contract is valued at approximately $3.4 billion and IREN will provide NVIDIA with managed GPU cloud services for AI and research workloads, including orchestration and cluster management software in collaboration with Mirantis . The services will utilize air-cooled …

Sharon AI , an Australian neocloud company, announced a five-year cloud computing infrastructure agreement. The deal is worth approximately US$950 million with a global technology company that has significant Asia-Pacific presence. Sharon AI will achieve cloud solution deployment in Australia at NEXTDC data centers, returning revenue starting late 2026. “We are thrilled to continue to expand our …

Google DeepMind has released Gemini Robotics 2, the intelligence layer for its next generation of robots. The release ships three models: a vision-language-action model for whole body humanoid control, Gemini Robotics ER 2 for embodied reasoning and task orchestration, and an on-device VLA that adapts to new robot bodies in hours. One checkpoint drives Apptronik Apollo 2 and a Franka Duo. Only ER…

The deal gives Okta identity threat detection capabilities as enterprises seek to secure AI agents and other non-human identities across cloud environments.

Meta says AI is making it dramatically easier to build and launch new consumer apps, with CEO Mark Zuckerberg telling investors the company has more new consumer products on the way following a recent wave of releases for Facebook Groups, Marketplace sellers, Instagram, and gaming.

British AI neocloud Nscale is buying software startup Anyscale, which helps companies scale their AI workloads across data centers and servers.

A new study estimates only 2,000 U.S. engineers have the expertise to deliver meaningful AI ROI, as enterprises race to hire forward-deployed engineers to implement AI at scale.

Cybersecurity experts told TechCrunch that one of the biggest lessons to be taken from the OpenAI hack against Hugging Face has nothing to do with AI, but traditional cybersecurity defense.

The Disrupt Stage is where many of the biggest conversations in technology happen, with a legacy that stretches back for more than a decade.

The Series A was led by Khosla Ventures, with participation from Allianz, Rebel Fund, Brick and Mortar Ventures’ Darren Bechtel, and Y Combinator’s Garry Tan.

Tencent has released AngelSpec, an open-source torch-native framework for training speculative-decoding draft models across six architectures. It introduces DFly, a block-diffusion drafter with hybrid target conditioning and a hidden-correction autoregressive head, and integrates D-cut for runtime-adaptive verification budgeting. On HY3-295B-A21B with TP=8, DFly-8 delivers a 1.98–2.40× speedup ov…

Marktechpost AI has released Token Saver, an open-source MCP extension for Claude Desktop that uses local Hybrid RAG to slash PDF token consumption by up to 99% while ensuring absolute document privacy. The post Meet Token Saver: An Open-Source MCP Extension Using Local Hybrid RAG to Cut Claude PDF Token Costs 90-99% appeared first on MarkTechPost .

Three terms now compete for the same line in AI engineering job descriptions. Prompt engineering is the established one. Loop engineering entered the AI vocabulary in late 2025 and dominated developer discussion through June 2026. Graph engineering followed roughly six weeks later. They get used interchangeably. Should they be? The three are not competing techniques. […] The post Prompt Engineeri…

Moonshot AI has open-sourced MoonEP, an Expert Parallelism (EP) communication library for distributed Mixture-of-Experts (MoE) workloads. The team announced the release as a library built to make expert-parallel communication more efficient at scale. It ships under an MIT license. MoonEP arrived as part of Kimi K3 Open Day. Alongside the K3 model weights and technical […] The post Moonshot AI Ope…

arXiv:2607.26119v1 Announce Type: new Abstract: Large reasoning models trained via reinforcement learning (RL) have been increasingly shown to outperform their supervised fine-tuned (SFT) counterparts on mathematical reasoning tasks; Yet the mechanistic basis for this advantage remains unclear. We therefore ask, what internal representational differences enable RL models' superior performance? Ou…

arXiv:2607.26120v1 Announce Type: new Abstract: Large Language Models (LLMs)-powered multi-agent systems are increasingly deployed in mixed-motive environments, where agents operate under asymmetric information and strategic deception due to conflicting or hidden objectives. In these settings, misalignment with collective goals becomes a central concern. We propose a novel framework for evaluatin…

arXiv:2607.26155v1 Announce Type: new Abstract: Clinical data-science agents must transform heterogeneous longitudinal records into auditable analyses, yet existing benchmarks largely isolate medical question answering, structured-table reasoning, or generic scientific repositories. We introduce CLINLENS, a benchmark of 200 executable tasks over five linked MIMIC resources spanning structured ele…

arXiv:2607.26159v1 Announce Type: new Abstract: An AI benchmark result rarely reaches a consequential claim in one step. Evaluators generalize it to further cases, interpret it as evidence of capability, extrapolate it to new tasks, transport it to another system or site, and combine it with assumptions about human review and downstream consequences. Validity-centred approaches require evidence f…

arXiv:2607.26160v1 Announce Type: new Abstract: Clinical practice guidelines (CPGs) encode diagnostic criteria, but LLM systems typically retrieve guideline text or absorb it through training rather than execute its rules. We introduce GuideSkill, an external reasoning layer that compiles disease-specific criteria into executable functions returning ordinal diagnostic-support scores. GuideSkill-Z…

arXiv:2607.26181v1 Announce Type: new Abstract: Functional verification dominates integrated circuit (IC) front-end engineering effort, and a single missed bug that escapes to silicon can trigger a costly respin. Recent large language models (LLMs) offer new opportunities to automate this process, yet existing LLM-based approaches generate each component through independent single-turn calls with…

arXiv:2607.26191v1 Announce Type: new Abstract: Evaluation methodologies for language models increasingly combine multiple signals, from automated metrics and LLM-as-judge ratings to human assessments and benchmark suite results. When these signals are aggregated via averaging, evaluation confidence can then substantially exceed the reliability of the weakest signal: a phenomenon we call trust in…

arXiv:2607.26307v1 Announce Type: new Abstract: Contemporary LLM-based coding agents produce code as black-box outputs: the rationale behind each line is hidden, the evolution of the code through benchmark-driven repair is ephemeral, and post-hoc auditing is impossible. We present a code generation concept that addresses these shortcomings through three complementary mechanisms: (i) a relational …

arXiv:2607.26367v1 Announce Type: new Abstract: An important skill in theoretical physics is to recognize when a new problem can be transformed into a known model. We study this skill as an AI-agent task: can LLM-based agents discover statistical mechanical mappings from a raw partition function to a tractable representation? To probe this question, we introduce StatMechBench-v0, a benchmark of s…

arXiv:2607.26393v1 Announce Type: new Abstract: Social deduction games (SDGs) such as Werewolf have become challenging testbeds for AI agents. These games require complex social skills such as reasoning, deception, and collaboration. While recent advances in large language models (LLMs) have driven significant progress in SDG agents, current approaches are predominantly text-based, overlooking th…

arXiv:2607.26452v1 Announce Type: new Abstract: World models must learn the joint dynamics of states, actions, events, and observations, yet existing video, robotics, and simulation datasets usually capture only part of this structure. We introduce CG-World, a large-scale world-state dataset and protocol derived from industrial computer graphics production pipelines. CG-World explicitly records i…

arXiv:2607.26465v1 Announce Type: new Abstract: Multimodal Large Language Models have sparked significant interest due to their potential for social intelligence; however, their ability to perform sequential motivation reasoning remains insufficiently studied. Existing evaluations predominantly examine static text or isolated visual snapshots, which do not reflect the cumulative nature of real-wo…

arXiv:2607.26490v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have emerged as a powerful paradigm for solving partial differential equations (PDEs), yet their performance heavily relies on the manual, trial-and-error engineering of neural representations, loss formulations, and optimization dynamics. While Large Language Models (LLMs) offer a promising avenue for automa…

arXiv:2607.26512v1 Announce Type: new Abstract: AI agents can draft claims faster than authors can check whether the cited or retrieved evidence supports them. We study evidence-ledger adjudication: a claim-evidence traceability workflow that pairs each claim with an evidence packet, assigns a support relation, and routes unsupported, contradicted, or mixed-evidence claims back to the author. The…

arXiv:2607.26588v1 Announce Type: new Abstract: The rapid development of large language models (LLMs) has renewed interest in agent-based modeling (ABM). However, current LLM-based ABM research faces several key challenges: modeling evolving agent-environment interactions, enabling flexible counterfactual reasoning, and automating simulation workflows for scientific research. In this paper, we pr…

Microsoft pitched its own homegrown AI models, harnesses, and even a Mythos competitor on Wednesday, telling Wall Street it plans for continued growth.

As Meta pours billions into AI infrastructure and agents, Zuckerberg is working to convince investors that the payoff will be worth the price.

When Microsoft reported killer fourth-quarter earnings for its fiscal 2026 year (which ended June 30), it tucked in an interesting little tidbit about how its investments in the two biggest, and competing, AI labs are doing.

On the company’s second-quarter earnings call Wednesday, CEO Mark Zuckerberg said Meta sees a “large enterprise opportunity” spanning AI agents, APIs, compute, and internal software.

At TechCrunch Disrupt 2026, the AI Stage is back to dig into the single hottest topic in the community for the past few years, presented by Google for Startups.

Weng previously served as the VP of AI Safety Research at OpenAI.

Another way to think about the whole thing is to picture a bear at a campsite. (Really, we are going there.)

Andon Labs' latest vending machine simulation shows Opus 5 lied and colluded its way to become the best AI capitalist ever.

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

Liquid AI released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. Both carry an 8,192-token context and are built on the LFM2 hybrid backbone. The 350M ranks fourth of 14 models on a 17-task GLUE, SuperGLUE, and multilingual suite, behind only larger models. The 230M clears one 8K-token forward pass on CPU in about 28 seconds. The post Liquid AI Releases LFM2…

In this tutorial, we configure and operate Kimi CLI as a fully non-interactive AI coding agent. We install the CLI through uv with an isolated Python 3.13 environment, configure Moonshot API authentication through a TOML-based provider and model definition, and build a reusable Python wrapper for executing non-interactive CLI commands. We then apply Kimi to […] The post Building Non-Interactive A…

Fireworks AI has released Fireworks Nexus, an AI management and routing platform aimed at engineering organizations. It connects the coding tools developers already use to a managed layer of open-weight models. The problem it targets is well documented. Forbes reported that Uber exhausted its entire 2026 AI budget in four months. Claude Code had reached […] The post Fireworks AI Releases Firework…

Managed Agents Gemini 3.6 Flash, Hooks and Triggers

Illustration of a black magnifying glass in a white circle on green grass surrounded by items related to fun activities like tennis and games

An illustrated black magnifying glass with a sparkle in a white circle surrounded by a dinner party tablescape

Microsoft AI has released MAI-Cyber-1-Flash, its first model built specifically for cyber defense. It is a 137B total, 5B active sparse MoE fine-tune of MAI-Code-1-Flash with a 256k context window. The model does not ship as a standalone endpoint — it runs inside MDASH, Microsoft's multi-model agentic scanning harness, where it handles up to 90% of tasks and pushes the system to 95.95% on CyberGy…

In this tutorial, we deploy the 1-bit Bonsai-27B language model using the PrismML fork of llama.cpp, which provides the specialized CUDA kernels required to decode the model’s Q1_0_g128 GGUF quantization format The post Deploying a 1-Bit Bonsai-27B Model with PrismML llama.cpp and OpenAI-Compatible Local Inference Workflows appeared first on MarkTechPost .

PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.

Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.

Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.

Gentle Monster glasses, Warby Parker glasses, a prompt asking for the history behind a pictured building, and a prompt asking to book a table at a pictured restaurant

Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.

Connected apps rendering

Text "Gemini Omni and Personal Avatars in Google Vids" surrounded by various images

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.

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Students from the MIT Cybersecurity Clinic help local governments and other vulnerable organizations defend against digital threats.

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.

A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.

The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.

Managed agents feature bundle launch

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Google, the New York Jobs CEO Council and Urban Assembly hosted an AI summit for 150 education and industry leaders.

Four illustrated characters representing different professional roles, including a scientist, technician, explorer, and observer.

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The Google Finance logo, surrounded by elements of the user interface

Research in “Nature” shows our conversational AI system matches primary care physicians in complex disease management.

Google has announced a $1.5 billion investment for 2026 and 2027 to expand its data center campus in Jackson County, Alabama. Operating since 2019 on a repurposed former…