“I was James' direct report for about six months at Tachyus. He is one of the best managers I've had to date. His wealth of experience in starting a technology business and leading people is highly inspiring. His extensive understanding of technology, the way to build it, to sell it, and to deliver it sets him to be a fantastic mentor for any manager leading a customer facing team. Also, I admire his management skills based on vision, trust, honesty, empowerment, and accountability. I would be sincerely excited to work with James again in the future. ”
About
AI and Superintelligence at Meta | Previously ShotSpotter (NASDAQ: SSTI) CEO, later SVP…
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Education
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Patents
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Systems and methods associated with detection of indoor gunfire
Issued US 9240114
Systems and methods are disclosed for reliably detecting gunfire in enclosed spaces having significant acoustic reverberation. Implementations are configured to quickly and reliably report the room or portion of a room where gunfire is located. Innovations herein may ensure low false alarm rate by thresholding, pattern recognition and/or detecting the muzzle optical flash. In some embodiments, a review center with trained personnel may evaluate the incident before reporting to local…
Systems and methods are disclosed for reliably detecting gunfire in enclosed spaces having significant acoustic reverberation. Implementations are configured to quickly and reliably report the room or portion of a room where gunfire is located. Innovations herein may ensure low false alarm rate by thresholding, pattern recognition and/or detecting the muzzle optical flash. In some embodiments, a review center with trained personnel may evaluate the incident before reporting to local authorities. The indoor system can be incorporated into an outdoor gunshot location system to better protect a local area such as a campus or a transportation hub. Systems and methods herein may involve features and functionality associated with additional resources, such as intercoms, cellphones, and access control, to provide mitigation of harm in case of a shooting.
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Weapon fire location systems and methods involving mobile device and/or other features
Issued US 7855935
See patentSystems and methods are disclosed for processing information associated with weapon fire. In one exemplary embodiment, there is provided a method of processing information associated with weapon fire, including identifying a weapon fire incident, determining positional information regarding a source location of the weapon fire, and processing positional information regarding a device within a particular proximity of the source location of the weapon fire. Moreover, exemplary methods may include…
Systems and methods are disclosed for processing information associated with weapon fire. In one exemplary embodiment, there is provided a method of processing information associated with weapon fire, including identifying a weapon fire incident, determining positional information regarding a source location of the weapon fire, and processing positional information regarding a device within a particular proximity of the source location of the weapon fire. Moreover, exemplary methods may include providing information for displaying the positional information of the source location of the weapon fire and the device together on a display. Other exemplary embodiments may include performing processing that provides one or more of source location of the weapon fire, device location information and/or other information related to the device for various uses.
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Acoustic detection of weapons near transportation centers
US 7,796,470
Abstract
Systems and methods are disclosed for determining location of a weapon firing incident. In one exemplary embodiment, there is provided a system for determining the location of a weapon firing incident in proximate position to a region traversed by vehicles. The system includes a first set of sensors associated with a first sub-region of the region, for detecting the weapon firing incident and for generating an output, and a processing component that determines a location of the…Abstract
Systems and methods are disclosed for determining location of a weapon firing incident. In one exemplary embodiment, there is provided a system for determining the location of a weapon firing incident in proximate position to a region traversed by vehicles. The system includes a first set of sensors associated with a first sub-region of the region, for detecting the weapon firing incident and for generating an output, and a processing component that determines a location of the weapon firing incident based upon the output. Moreover, the system may also include a second set of sensors arranged to detect the weapon firing incident along the travel path traversed by the vehicles and for generating a second output. Other exemplary embodiments may include arrangements of the sensors in patterns is associated with sub-regions and/or travel path as well as weapon fire location processing features.Other inventors -
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Systems and methods for bonding information and services to assure the accuracy of the information and/or performance of services provided by a network server
US 6,549,888
Abstract
A system assures the accuracy of information and the performance of services provided by an entity. The system receives a request from the entity to bond the information and services provided by the entity and evaluates the accuracy of the information and the performance of the services. The system bonds the information when the information is determined to be accurate and the services when performance of the services is assured.Other inventors -
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Systems and methods for guaranteeing the protection of private information
US 6,839,689
Abstract
A system protects private information provided in an exchange between a client and a server. The system receives the private information from the client and determines whether it is of a type for which a guarantee may be issued. The guarantee provides an indemnity for the benefit of the client for misuse of the private information. The system then issues a guarantee for the private information, if it is determined to be of the type for which a guarantee may be issued, and…Abstract
A system protects private information provided in an exchange between a client and a server. The system receives the private information from the client and determines whether it is of a type for which a guarantee may be issued. The guarantee provides an indemnity for the benefit of the client for misuse of the private information. The system then issues a guarantee for the private information, if it is determined to be of the type for which a guarantee may be issued, and provides the private information to the server with a guarantee.Other inventors -
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Systems and methods for protecting private information
US 6,269,349
Abstract
A system protects private information provided in an exchange between a client and a server. The system receives the private information from the client and determines whether it is of a type to which a bond may be assigned. The bond provides an indemnity to the client for misuse of the private information. The system then assigns a bond to the private information, if it is determined to be of the type to which a bond may be assigned, and provides the private information to the…Abstract
A system protects private information provided in an exchange between a client and a server. The system receives the private information from the client and determines whether it is of a type to which a bond may be assigned. The bond provides an indemnity to the client for misuse of the private information. The system then assigns a bond to the private information, if it is determined to be of the type to which a bond may be assigned, and provides the private information to the server under bond.Other inventors -
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Three-dimensional optical data storage and retrieval
US 5,592,462
Abstract
A three dimensional optical data storage and retrieval system includes a three dimensional optical data storage medium and an apparatus for providing access to data stored on the medium. According to one aspect of the invention, the data storage medium includes a number of concentric shells each of which has a curvilinear data storage surface for storing data in a number of substantially parallel data tracks. According to another aspect of the invention, the data storage medium…Abstract
A three dimensional optical data storage and retrieval system includes a three dimensional optical data storage medium and an apparatus for providing access to data stored on the medium. According to one aspect of the invention, the data storage medium includes a number of concentric shells each of which has a curvilinear data storage surface for storing data in a number of substantially parallel data tracks. According to another aspect of the invention, the data storage medium includes a number of data storage surfaces which are rotatable about a common axis, each data storage surface for storing data in a number of substantially circular data tracks and having an optically transparent window which transects each of the data tracks. Each shell or data storage surface preferably has a drive engagement portion for engaging a driver to rotate the shells or data storage surfaces individually about a common axis. Several embodiments of spherical and cylindrical shell media are provided and a stacked discs embodiment is disclosed. Apparatus for accessing data on the medium includes a number of drivers for selectively rotating the shells and a laser-optical device. In some embodiments, a portion of the laser-optical device is incorporated in and made part of the outer shell of the medium. A jukebox apparatus is shown as well.Other inventors -
Honors & Awards
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Henry Crown Fellowship
Aspen Institute
The Henry Crown Fellowship Program, established in 1997, seeks to develop the next generation of entrepreneurial leaders, providing them with the tools necessary to meet the challenges of business leadership in the 21st century. Each year, a class of 20 leaders is chosen to engage in a thought-provoking journey of personal exploration—to move beyond success to a place of growing significance in the world. The Fellowship challenges each individual to learn and to teach, and to stretch themselves…
The Henry Crown Fellowship Program, established in 1997, seeks to develop the next generation of entrepreneurial leaders, providing them with the tools necessary to meet the challenges of business leadership in the 21st century. Each year, a class of 20 leaders is chosen to engage in a thought-provoking journey of personal exploration—to move beyond success to a place of growing significance in the world. The Fellowship challenges each individual to learn and to teach, and to stretch themselves further than they ever thought possible. It honors the memory of Chicago industrialist Henry Crown (1896-1990), whose legendary career was marked by a lifelong commitment to honor, integrity, industry and philanthropy.
Each class of Fellows is chosen from a wide pool of accomplished entrepreneurial leaders between the ages of 30 and 45. These Fellows have already achieved considerable success in the private sector and are at an inflection point in their lives or careers—looking toward the broader role they might take on in their communities or globally.
Languages
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English
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French
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Spanish
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Portuguese
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Italian
Elementary proficiency
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Latin
Full professional proficiency
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Greek, Ancient
Full professional proficiency
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Greek
Elementary proficiency
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Christophe Perih
Project Vend reads less like a capability story and more like a governability story. Phase two improved because institutional scaffolding (tools, procedures, role separation) reduced predictable judgment failures—persuasion, compliance blind spots, boundary confusion, values drift. The board-level question isn’t “can an agent run a business?” but “what governance primitives must exist before we delegate authority.” Until incentives, escalation rights, and refusal boundaries are structurally enforced—not merely prompted—agents remain high-performing managers, not autonomous executives.
1 Comment -
Matt Garman
Organizations need AI models that deliver both performance and cost-efficiency at scale. Today, we’re adding Claude Haiku 4.5 from Anthropic to Amazon Bedrock, giving customers another powerful option that delivers near-frontier intelligence at low cost and fast speeds. Claude Haiku 4.5 matches Claude Sonnet 4's capabilities on coding, computer use, and agent tasks. It’s perfect for scaling AI across your organization. This means you can now more affordably deploy intelligent agents in customer-facing applications, and in free product offerings without compromising on quality. With Opus 4.1 for the most advanced intelligence, Sonnet 4.5 for advanced coding and agentic tasks, and now Haiku 4.5 for efficient scaling, AWS customers have a wide variety of Claude models to choose from, all with the security, compliance, and capabilities of Amazon Bedrock. https://lnkd.in/gPgrF8jV
40 Comments -
Tony Corbin
I’m thrilled to share that White Star Capital is backing AMI - Advanced Machine Intelligence in their historic $1.03bn seed round 🚀 - Led by the legendary Yann LeCun and Alex LeBrun. AMI isn't building another LLM, they're building World Models. Why this matters: *Beyond Text: Grounded in JEPA architecture to solve physical-world problems. *Global Powerhouse: A dream team from Meta FAIR, OpenAI, and DeepMind. *Sovereign Tech: A credible European-led alternative to US Big Tech. Excited to be part of this journey along with the rest of the WSC team Eric Martineau-Fortin, Matthieu Lattes, Bérénice Moustial and Victoria Pozzi Rocco Belforti. 🌍✨ https://lnkd.in/eiCKZKSQ #VentureCapital #AI
2 Comments -
Brittany Walker
Voice is a super interesting modality right now - maybe the first modality we're seeing move to open source models across a number of scale ups / enterprises. Reliability concerns, high costs, and open source model performance are pushing engineers to do their own fine tuning vs. relying on third-party vendors of proprietary models. Many of these orgs have already been collecting their own first-party data and now with third-party vendors like Extrian, David AI, etc they can train really high quality models. RL has been insanely hyped, but it's been unclear how long it will take scale ups and enterprises to actually lean in. Voice AI might be hitting that inflection point faster than expected.
7 Comments -
Derek Kerton
We chose a good subject for our march Autotech Council meeting, and after this year's CES, it seems even more obvious. Our meeting on the AI Defined Vehicle will show how it's a natural next step after the Software Defined Vehicle phase that we've been in Tesla launched the Model S in 2012. Now, most carmakers have SDVs. It's time to layer on the AI in user-facing roles, and in invisible functions managing the vehicle.
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Tal Cohen
Thank Dani Cherkassky Great piece on the architecture shift voice AI needs. The core thesis: cloud-centric voice systems fail in real-world conditions because they are too slow, too expensive to keep always-on, and deaf to spatial context. The solution is a hybrid architecture—fast, always-on edge processing (Spatial Hearing AI and Cognition AI) handling 80% of interactions locally, with cloud LLMs reserved for complex reasoning. But the Kahneman thesis runs deeper than the article suggests. System 1 and System 2 are not just useful metaphors—they reflect an actual biological sequence. Fast, intuitive processing (System 1) evolved first; slow, deliberate reasoning (System 2) was layered on top. The brain's architecture reflects this: spatial-acoustic processing happens in milliseconds at the brainstem and primary auditory cortex, long before language centers engage. Kardome is not just borrowing Kahneman as marketing. Their architecture is neurologically correct—it replicates the hierarchical, parallel, spatially-aware processing that makes human auditory cognition so robust. Here is the deeper point: hearing preceded language in human evolution, and spatial hearing preceded both. The mammalian auditory system evolved to detect predators and locate prey—survival functions that required sub-second latency and continuous environmental awareness. Language processing was layered on top of this infrastructure. Current voice AI inverts this evolutionary logic: it starts with language models and treats spatial audio as an afterthought. Kardome restores the natural hierarchy. 🙌 Danny Shapiro, Rory Sutherland
2 Comments -
Haroon Choudery
Elie Schoppik has spent his career at the intersection of education and engineering. He built early ed-tech tools that helped people actually retain knowledge, founded a Bay Area coding bootcamp that trained thousands of developers through practice and feedback, and now leads Technical Education at Anthropic. Despite all that experience, Elie says most teams are using AI wrong: they’re treating it like an all-knowing oracle instead of a tutor. This is why Elie designs prompts, examples, and workflows that treat AI as a teacher, instead of a shortcut. In our conversation, we discuss: • Why relying on AI for “fast answers” erodes judgment and verification • How to turn prompts into guided lessons • Why context engineering is the most underrated skill in 2025 • Practical exercises any team can run tomorrow to raise AI fluency • What leaders should steal from Anthropic’s approach to technical education Episode is live now — full conversation linked in the comments.
2 Comments -
Christina C.
NVIDIA just announced their next big supercomputer will be named Doudna, after none other than Jennifer Doudna—Nobel laureate, CRISPR co-inventor, and all-around science rockstar. The new Doudna supercomputer, to be housed at Lawrence Berkeley National Lab, will support 🔬 Genomics and precision medicine 🌱 Bioenergy and sustainable agriculture ⚛️ Materials science for clean energy tech 🌎 Climate modeling and environmental science 🧠 AI-driven scientific discovery Solving foundational challenges in medicine, energy, and climate.. what a fitting tribute👏 #JenniferDoudna #CRISPR #Supercomputing #NVIDIA #ScienceInnovation Credit: Genetics & Society
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Andrew Mayne
In the latest episode of the OpenAI podcast I got talk to OpenAI CFO Sarah Friar and legend himself Vinod Khosla about the AI industry. Sarah explained the relation between compute and revenue (OpenAI's revenue keeps 3x'ing each year) and Vinod provided an insightful way to tell if we're in a bubble: API calls. Are they going up or down? (Spoiler: Up, up, up!) https://lnkd.in/g2tTQBdp
1 Comment -
Gennaro Cuofano
Yann LeCun, Meta’s chief AI scientist and Turing Award winner, plans to leave to launch his own startup which might be focused on “world models.” His departure underscores a widening philosophical divide: Mark Zuckerberg’s product-driven superintelligence pivot versus LeCun’s long-horizon cognitive modeling, a classic tension between foundational research and commercialization pressure. https://lnkd.in/dV5CitQr
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