CybAI news - - Page 3082

26 May

AI system can predict the structures of life’s molecules with stunning accuracy – helping to solve one of biology’s biggest problems

stp2y0 CommentsChat-GPT

AlphaFold 3, unveiled to the world on May 9, is the latest version of an algorithm designed to predict the structures of proteins – vital molecules used by all life – from the “instruction code” in their building blocks. Predicting protein structures and the way they interact with other molecules has been one of the biggest problems in biology. Yet, AI developer Google DeepMind has gone some way to solving it in the last few years. This new version of the AI system features improved function and accuracy over its predecessors. Like the next release in a video-game franchise, structural…

26 May

Databricks delivers enhanced data analytics and intelligence for the energy sector – SiliconANGLE

stp2y0 CommentsGenAIDatabricks delivers enhanced data analytics and intelligence for the energy sector, Mike Wheatley, SiliconANGLE

Big-data company Databricks Inc. today announced the immediate availability of a dedicated data intelligence platform for the energy industry, designed to enable customers in the energy sector to harness enormous streams of data and use them for business insights and to feed generative artificial intelligence workloads. The Databricks Data Intelligence Platform for Energy, as it’s officially known, is also geared toward confidentiality, enabling energy suppliers to use their most sensitive information without any risks around privacy, the company said. The main idea is that the offering will give energy company leaders a more holistic, real-time view of their operations, helping them…

26 May

Data Machina #254

stp2y0 CommentsViral News

On the State of AI Coding Agents. “How could we start using AI to migrate years of messy, flimsy legacy code to a modern stack? ... Perhaps an AI Code Migration Agent ???” We’re doing AI chat & espresso at Level 39, One Canada Square. James -a veteran CTO with all the scars- is asking these rather funny, rhetorical questions. There is a deep silence in the room, pensive faces around. Everyone is staring through the massive windows overlooking The City skyline as the sunset strikes. We wonder in perplexity -in the very philosophical and information theory sense- whether AI…

26 May

Quais as diferenças entre modificadores public, private, protected e abstract no Typescript?

stp2y0 CommentsNewscoding, community, development, engineering, inclusive, software

o TypeScript, os modificadores de acesso controlam a visibilidade de membros de classes, como propriedades e métodos. Eles definem quais partes do código podem acessar esses membros. Public: O modificador padrão em TypeScript.Permite que membros sejam acessados por qualquer classe, dentro ou fora da classe em que foram declarados.Exemplo: class Pessoa { public nome: string; // Propriedade pública constructor(nome: string) { this.nome = nome; } public falar(): void { console.log(`Olá, meu nome é ${this.nome}`); } } const pessoa1 = new Pessoa('João'); console.log(pessoa1.nome); // Acessando propriedade pública pessoa1.falar(); // Acessando método público Enter fullscreen mode Exit fullscreen mode Private: Restringe o…

26 May

How Transparent Are Foundation Model Developers?

stp2y0 CommentsChat-GPT

Foundation models such as GPT-4 and Stable Diffusion 2 are the engines of generative AI. While the societal impact of foundation models is growing, transparency is on the decline, mirroring the opacity that has plagued past digital technologies like social media. How are these models trained and deployed? Once released, how do users actually use them? Who are the workers that build the datasets that these systems rely on, and how much are they paid? Transparency about these questions is important to keep companies accountable and understand the societal impact of foundation models.Today, we're introducing the Foundation Model Transparency Index…

26 May

Semiconductors on the Data Intelligence Platform

stp2y0 CommentsViral News

In the semiconductor industry, research and development tasks, manufacturing processes, and enterprise planning systems produce an array of data artifacts that can be fused to create an intelligent semiconductor enterprise. Through intelligent data use, an intelligent semiconductor enterprise accelerates time to market, increases manufacturing yield, and enhances product reliability.The Databricks Intelligence Platform suits semiconductor enterprises’ unique needs for performance, collaboration, and self-service access. Built on a lakehouse architecture with leading technologies of Delta Lake, Apache Spark™, MLflow, Mosaic AI, and Unity Catalog, the Data Intelligence Platform is the substrate for semiconductor companies to connect engineering technology (ET), operational technology (OT),…

26 May

Atlassian launches Rovo generative AI-powered assistant – SiliconANGLE

stp2y0 CommentsChat-GPTAtlassian launches Rovo generative AI-powered assistant, Kyt Dotson, SiliconANGLE

Atlassian Corp. Plc. today launched Rovo, a new generative artificial intelligence knowledge discovery product that extracts data from a company’s internal tools and can help find information stored in them and then act on it. Powered by Atlassian Intelligence, a generative AI offering the company launched a year ago, that brought AI services and models into its products, Rovo helps companies find information lost amid multiple products, learn quickly and act on behalf of employees like a “virtual teammate.” “The first thing Rovo does is it brings together all those third-party SAS tools, as well as your custom-built in-house tools, and lets you put it all into one search index for…

26 May

A better way to control shape-shifting soft robots

stp2y0 CommentsGenAIRobotics Research; Engineering; Engineering and Construction; Vehicles; Robotics; Artificial Intelligence; Mathematics; Computer Programming

Imagine a slime-like robot that can seamlessly change its shape to squeeze through narrow spaces, which could be deployed inside the human body to remove an unwanted item. While such a robot does not yet exist outside a laboratory, researchers are working to develop reconfigurable soft robots for applications in health care, wearable devices, and industrial systems. But how can one control a squishy robot that doesn't have joints, limbs, or fingers that can be manipulated, and instead can drastically alter its entire shape at will? MIT researchers are working to answer that question. They developed a control algorithm that…

26 May

WeCare raises $350,000 to develop lab-grown diamonds

stp2y0 CommentsNews

Cypriot deeptech WeCare has raised $350,000 for R&D into the development of lab-grown diamonds. Lab-grown diamond productions, including run-of-mine (ROM) diamonds, delivered to designated facilities under Saad Kassis Mohamed's guidance at WeCare Foundation, undergo thorough valuation by accredited experts. Using WeCare Foundation's proprietary valuation methods, these productions are assessed for their market potential and quality before their use within a range of industries such as telecommunications, laser optics, as abrasives and more. The demand for lab-grown diamonds is steadily increasing, with Teji Mandi’s findings suggesting that it is expected to reach 160 million carats by 2030, signifying the growing acceptance…

26 May

Research Highlights in Three Sentences or Less (August-September 2023)

stp2y0 CommentsAI

Another month, another round of interesting research papers ranging from large language modeling to computer vision. One recent focus is on refining Large Language Models (LLMs). For instance, introducing models like Platypus and the Reinforced Self-Training (ReST) method are the latest attempts to improve alignment with human preferences. In addition, Self-Alignment with Instruction Backtranslation and OctoPack leverage existing knowledge structures, be it instructions or code, to improve model performances. A recurring theme is the endeavor to make models more efficient and accessible. There's LongLoRA with another sparse attention mechanism for LLMs and simpler, more fundamental ideas like replacing softmax with ReLU in vision…