In this contributed article, Rudrendu Kumar Paul, AI Expert and Applied ML industry professional, explores the transformative role of AI in strategic sourcing, inventory management, and risk management within supply chain operations.
Read the full article at: insidebigdata.com
Here are 10 AI tools that you can be using today to help increase productivity and hopefully profits.
Read the full article at: www.entrepreneur.com
Are we on the brink of an AI apocalypse? According to a recent survey, most U.S. citizens share Elon Musk’s concerns about the potential threat artificial intelligence poses to humanity’s future.
What a poll shows: A majority of Americans, 61% to be exact, believe that the fast-paced growth of AI could endanger the future of humanity and over two-thirds expressed concerns about its potential negative impacts, reported Reuters, citing a survey conducted by Ipsos. As per the findings, the proportion of U.S. citizens who anticipate negative consequences from AI is three times higher than those who don’t, with 61% of the 4,415 adults surveyed expressing concerns over the potential hazard of AI and only 22% disagreeing. Rest 17% of the people were uncertain.
The aforementioned online survey included 4,415 U.S. adults and has a credible interval with a margin of error of plus or minus two percentage points, the report stated.
Why It’s Important: Landon Klein, director of U.S. policy of the Future of Life Institute, which is behind the “open letter” demanding a six-month pause in AI research “more powerful” than OpenAI’s GPT-4, said that the poll’s findings show that “a broad swath of Americans worry about the negative effects of AI,” the report noted. “We view the current moment similar to the beginning of the nuclear era, and we have the benefit of public perception that is consistent with the need to take action.”
Musk, who co-founded OpenAI in 2015, along with Apple co-founder Steve Wozniak and over 1000 others, signed an open letter. Although Musk’s intention behind signing the letter has been questioned, considering the tech billionaire’s plans to launch his own chatGPT-rival called “TruthGPT.”
Benzinga research has found that the exponential growth of OpenAI’s chatGPT has made AI a ubiquitous part of everyday life, leading to a surge of interest in the field and sparking an AI arms race between tech giants like Microsoft Corporation and Alphabet Inc., eager to showcase their own AI breakthroughs.
In May 2023, Geoffrey Hinton, who recently left his job at Google citing the need to talk more freely about the risks posed by AI, stated that risks posed by AI to humanity could be more pressing than those of climate change. However, others like the godfather of virtual reality, Jaron Lanier, Bill Gates and Jürgen Schmidhuber have a different view and disagree with the sentiment.
Read the full article at: ktvz.com
Read the full article at: ktvz.com
Content marketing is one of the most effective strategies for growing brand awareness, attracting new audiences, retaining existing customers, and driving revenue.
No wonder 86% of B2C marketers believe content marketing is a key strategy.
Apart from being a powerful channel for generating new business opportunities, content marketing comes with another big advantage — it’s 62% less expensive than traditional marketing. So, even if your marketing budget is modest, you can always rely on content to help you grow your business without breaking the bank in the process.
Learn more / En savoir plus / Mehr erfahren:
Read the full article at: blog.scoop.it
The Amazon QuickSight analytics platform gets its first dose of generative AI with the introduction of two natural language processing features…
Read the full article at: www.techtarget.com
Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it…
Read the full article at: insidebigdata.com
Creating new drug candidates is a heroic endeavor, often taking over 10 years to bring a drug to market. New supercomputing-scale large language models (LLMs) that understand biology and chemistry text are helping scientists understand proteins, small molecules, DNA, and biomedical text.
These state-of-the-art AI models help generate de novo proteins and molecules and predict the 3D structures of proteins. They can predict the binding structure of a small molecule to a protein and are offering scientists easier ways to engineer new candidate drugs and ultimately bring hope for patients.
After Exscientia brought an AI-designed drug candidate to a clinical trial in 2021, several other companies have announced that their candidates are in trials. Within drug companies focused on AI-based discovery, there is publicly available information on about 160 discovery programs, of which 15 products are reportedly in clinical development.
At the forefront of AI-based drug discovery are generative AI models for applications such as generating high-quality proteins. These large, powerful models learn from unlabeled data (such as sequencing data) on multi-GPU, multi-node, high-performance computing (HPC) infrastructures.
With the novel NVIDIA BioNeMo Service, workflows for generative AI for biology are optimized and turnkey. You can focus on adapting AI models to the right drug candidates instead of dealing with configuration files and setting up supercomputing infrastructure.
BioNeMo Service
BioNeMo Service is a cloud service for generative AI in early drug discovery, featuring nine state-of-the-art large language and diffusion models in one place. The models in BioNeMo are accessible through a web interface or fully managed APIs and can be further trained and optimized on NVIDIA DGX Cloud.
With BioNeMo Service, you can perform any of the following tasks:
- Generate large libraries of proteins.
- Build property predictors using embeddings to refine protein libraries.
- Generate small molecules with specific properties.
- Rapidly and accurately predict and visualize the 3D structure for billions of proteins.
- Run large campaigns of ligand-to-small-molecule pose estimations.
- Download proteins, molecules, and predicted 3D structures.
Generative AI models in BioNeMo Service
BioNeMo Service features nine AI generative models covering a wide spectrum of applications for developing AI drug discovery pipelines:
- AlphaFold 2, ESMFold, and OpenFold for 3D protein structure prediction from a primary amino acid sequence
- ESM-1nv and ESM-2 for protein property predictions
- ProtGPT2 for protein generation
- MegaMolBART and MoFlow for small molecule generation
- DiffDock for predicting the binding structure of a small molecule to a protein
Read the full article at: developer.nvidia.com
Mike LeBeau, founder and product lead for Meta’s Horizon Workrooms, makes the case for VR as the future of team meetings — but admits the user experience is currently lacking.
Read the full article at: www.computerworld.com
Let’s explore how AI can make your life easier and even make you chuckle.Harnessing AI Expert-based ResultsStruggling to find the perfect gift for your partner? Use curioustone’s AI to generate a list of creative gift ideas. The AI combines expert opinions from various sources, so you can be sure your gift won’t end up in the “return” pile.Gaining
Read the full article at: curioustone.io
Read the full article at: curioustone.io
The tool enables designers to generate design sketches through text prompts, while incorporating precise stylistic attributes.
Read the full article at: venturebeat.com