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Artificial Intelligence

Peter Voss Talks about Using AGI to Build Chatbots with Brains

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Beverly Hills, CA, Oct. 20, 2021 (GLOBE NEWSWIRE) — Aigo founder Peter Voss began his career as an electronics engineer, leading him to eventually build a brand that delivers hyper-personalized conversational experiences between companies, employees and customers.

Listen to the complete interview of Peter Voss with Adam Torres of Mission Matters Innovation Podcast.

“I started my company providing electronics for industrial applications, and then I fell in love with software,” Voss says. “The company turned from an engineering firm to an ERP software comprehensive system. We went from the garage to 400 people and an IPO. That was super exciting,” he recalls.

“When I exited the company, I decided to embark on a mission, to see how we can make software intelligent: how can we give it common sense? I spent five years studying intelligence to understand it deeply,” he says. “Then, I developed an intelligence model and built an AI that can think, reason, and learn. And that’s what has been consuming me for the last 20 years.”

The difference between AI and AGI

In 2001, Voss coined the term “AGI,” short for “artificial general intelligence,” to create an “intelligent system that can think, reason and learn like a human after several years of studying epistemology, cognitive psychology, AI, hardware and software development,” as the Aigo website explains it.

“I think AI is quite interesting,” Voss says. “The idea of building a thinking machine transformed into a problem-solving device. However, there’s something much deeper going on here. After studying intelligence, one of the realizations was that we want to get back to our original ambition. I got together with some other people who were sort of thinking along the same lines.”

“We wrote a book on the topic, and we coined the term AGI—Artificial General Intelligence,” he says. “AGI is where the intelligence resides in the program. Of course, we use our (human) intelligence to build that machine that can have (its own) intelligence, but the whole idea is that you end up with a machine that by itself can learn to play chess and checkers, and, you know, solve medical problems and do all sorts of things like that over time. So this is a full circle, going back to the original dream.”

What is Aigo.ai?

Aigo.ai is a chatbot with a brain, Voss explains. It uses the full context of what has already been said to incorporate what the conversation is about, what the person already knows, and other bits of memory. “It can do a certain amount of reasoning about things and has common sense, you know, a certain degree of common sense, not a human level, yet close,” Voss says.

For businesses wishing to communicate more effectively with employees and/or customers, Aigo.ai drives its chats with a cognitive engine, offering a superior experience to the usual process of engaging with a typical chatbot.

To learn more about Peter Voss and Aigo, visit https://www.aigo.ai/

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Artificial Intelligence

TEHTRIS unveils exclusive background and evidence of RosyStyle Affair

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PARIS, March 19, 2024 /PRNewswire/ — TEHTRIS, a leading company in the automatic, real-time, non-human-action neutralization of cyberattacks, has just published its latest Threat Intelligence report, revealing, for the first time, the intricate details of an international fraud of almost 40 million euros, perpetrated on an online investment platform called RosyStyle.

 
 
A large-scale case targeting individuals via RosyStyle platform
After the arrest of a few members of its cybercriminal group, this case could easily have gone unnoticed. However, TEHTRIS reveals behind-the-scenes details of this fraud, centered on bogus online investments, as well as evidence that the cybercriminal group remains active.
Overview of the RosyStyle case:
Status: Despite the arrest of some members, the cybercriminals continued to defraud numerous retail investors, enticing them to transfer large sums of money to their bank accounts.Exclusive Evidence: from IP addresses to websites, TEHTRIS unveils exclusive screenshots of login pages and platform’s backend interface, as well as evidence of the criminals’ access to victims’ bank transactions.Persistent activity: beyond the initial case, the compromised source code has been adapted under several different brand names.Cybersecurity is a collective responsibility
“Our vision of cybersecurity goes far beyond the conventional role of a solution provider. We are committed to understanding, anticipating and mitigating threats to ensure the protection of public and private organizations of all sizes, as well as individuals, in the digital economy. By offering not only cybersecurity solutions, but also vital information to arm them against evolving threats, we aspire to be a trustful source of information, thus contributing to a safer digital future for all,” explains the TEHTRIS team.
About TEHTRIS
Founded in 2010, TEHTRIS is the publisher of the TEHTRIS XDR PLATFORM, hyper-automated cyber defense solution that detects and neutralizes cyberattacks in real time, without human action. With its “Security & Ethics by design” approach, TEHTRIS provides users with a holistic vision of their infrastructure, while guaranteeing data protection. TEHTRIS XDR PLATFORM is compatible with market security solutions via its APIs and integrated orchestrator. The solution monitors, analyzes and neutralizes threats for major organizations in transport, engineering, services and government. TEHTRIS keeps a constant watch on cybercrime and listens closely to its customers, helping them to minimize risks and deal with the unpredictable. In 2020, TEHTRIS raised a record €20 million in Series A funding and a second €44 million in Series B funding in 2022.
Contenu | EN | Rapport Threat Intel Feb24
CONTACT: [email protected] 
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Artificial Intelligence

Segway Collaborates with NVIDIA to Introduce NVIDIA Isaac-powered Nova Orin Developer Kit for Autonomous Mobile Robots

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LOS ANGELES, March 19, 2024 /PRNewswire/ — Segway Robotics, a global leader in autonomous mobile robot (AMR) technologies, is collaborating with NVIDIA to introduce a new developer kit which will expand the frontiers of robotic technologies. The Nova Orin Developer Kit (DevKit), unveiled at NVIDIA GTC, a global AI conference running March 18-21 at the San Jose Convention Center and online, enables creators to bring their robotic innovations to market more swiftly and efficiently.

Building upon the capabilities of the Nova Carter development robot, which Segway teamed with NVIDIA to introduce last year, the Nova Orin DevKit makes robotics development more accessible. It combines Segway’s expertise in robotic mobility solutions with NVIDIA AI and GPU accelerated computing, aiming to provide a platform for developing robotic applications that can navigate and interact with the world in ways previously unimaginable.
Responding to the developer community’s feedback on the Nova Carter, the Nova Orin DevKit has been crafted to offer an even greater level of customization without sacrificing simplicity in assembly and calibration. It is an all-in-one, fully integrated compute and sensing solution ideal for solving complex AMR challenges in large and highly dynamic environments.
Powered by the NVIDIA Jetson AGX Orin system-on-module, the Nova Orin DevKit is equipped with stereo cameras (RGBD) and high-speed surround cameras to provide 3D surround vision. It comes preinstalled with NVIDIA Isaac platform components (including sensor drivers, a nominal calibration file, as well as NVIDIA Isaac Perceptor packages), allowing users to experience the Isaac Perceptor stack right out of the box.
The Nova Orin DevKit can accelerate the development of state-of-art autonomy with powerful and proven software and hardware tools, to use with automated guided vehicles, autonomous forklifts, indoor and outdoor delivery robots, and many other applications.
“With the Nova Orin DevKit, we are pushing the boundaries of what’s possible in AI robotics,” said Tony Ho, Vice President of Business Development at Segway. “Since introducing Nova Carter, the feedback from developers has been incredibly insightful. Recognizing the critical importance of time to market in the robotics sector, the Nova Orin DevKit is our answer to accelerating innovation and success for our customers.”
The Nova Orin DevKit, alongside Nova Carter, represents an important step in reducing the development time for robotics projects. Additionally, Segway’s expertise in supply chain management is set to assist robotics companies in scaling their operations faster and more smoothly.
The Nova Orin DevKit will be available for order starting in early April. Developers, researchers, and companies interested in exploring the frontiers of AI robotics are encouraged to join this exciting journey. More details on The Nova Orin DevKit can be found at Segway Robotics website: https://robotics.segway.com/nova-dev-kit/
Media Enquiries: Ling Ding, [email protected]
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Artificial Intelligence

Databricks and NVIDIA Deepen Collaboration to Accelerate Data and AI Workloads with the Data Intelligence Platform

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SAN FRANCISCO, March 18, 2024 /PRNewswire/ — Databricks, the Data and AI company, today announced an expanded collaboration and commitment to deeper technical integrations with NVIDIA during the company’s flagship GTC 2024 conference. Together, Databricks and NVIDIA will optimize data and AI workloads on the Databricks Data Intelligence Platform. The collaboration builds on NVIDIA’s recent participation in Databricks’ Series I funding round.

“We’re thrilled about the evolution of our partnership with NVIDIA that will drive more value for customers through the advancement of Databricks workloads with NVIDIA accelerated computing and software,” said Ali Ghodsi, co-founder and CEO at Databricks. “From analytics use cases through AI, NVIDIA has already powered our foundational model initiatives, and with our mutual work on query acceleration, we’ll be able to demonstrate value for more enterprises.”
“Every company’s proprietary data is a crucial asset for creating intelligence in the era of AI,” said Jensen Huang, founder and CEO of NVIDIA. “By accelerating data processing, NVIDIA and Databricks can supercharge AI development and deployment for enterprises seeking greater insights and better outcomes with more efficiency.”
GPU acceleration for end-to-end generative AI solutionsOrganizations are rapidly adopting Databricks’ Data Intelligence Platform to build and customize generative AI solutions trained on their data and tailored to their business and domain. Databricks Mosaic AI and NVIDIA are collaborating on model training and inference to advance the state of building and deploying generative AI models on Databricks’ end-to-end platform. Databricks offers a comprehensive set of tools for building, testing and deploying generative AI solutions with uncompromising control and governance over both data and models.
For generative AI model training, Databricks Mosaic AI relies on NVIDIA H100 Tensor Core GPUs, which are optimized for developing LLMs. Mosaic AI is able to harness the power of NVIDIA accelerated computing and offer an efficient and scalable platform for customizing LLMs for customers.
For model deployment, Databricks leverages NVIDIA accelerated computing and software throughout the stack. A key component of Databricks’ Mosaic AI Model Serving is NVIDIA TensorRT-LLM software, which delivers state-of-the-art performance and ensures the solution is cost-effective, scalable and performant. Mosaic AI was a TensorRT-LLM launch partner and enjoys a close technical collaboration with the NVIDIA team.
Photon with NVIDIA accelerated computing speeds query performance Databricks plans to develop native support for NVIDIA accelerated computing into its next-generation vectorized query engine, Photon, to deliver improved speed and efficiency for customers’ data warehousing and analytics workloads. Photon powers Databricks SQL, Databricks’ serverless data warehouse with industry-leading price-performance and TCO. This advances and builds on the growth of Databricks customers using GPUs for query processing on their data.
Databricks for machine learning and deep learning Machine learning (ML) and deep learning on Databricks have been critical workloads. Databricks Machine Learning delivers pre-built deep learning infrastructure to include NVIDIA GPUs, and the Databricks Runtime for ML includes pre-configured GPU support including drivers and libraries. With these tools, users are able to both get started quickly with the right NVIDIA infrastructure, and keep the environment consistent across users. Databricks supports NVIDIA Tensor Core GPUs on all three major clouds to enable high-performance single-node and distributed training for ML workloads. 
The companies plan to further the momentum of the Data Intelligence Platform to enable more organizations to create their next generation of data and AI applications with quality, speed and agility.
About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.
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