画像生成AI「DALL・E2」や文章生成AI「GPT-3」「InstructGPT」などを開発するAI研究団体のOpenAIが、2022年9月に高性能な文字起こしAI「Whisper」を発表しました。オープンソースのWhisperはリポジトリが一般公開されており、日本語にも対応しているとのことで、オンライン実行環境のGoogle Colaboratory(Google Colab)やローカルのWindows環境に導入して使ってみました。

An art-generating artificial intelligence (AI) is taking the internet by storm with the ability to produce fully rendered pieces of "original" artwork in seconds, images that would take professional artists weeks to accomplish. The application is called Stable Diffusion and it has been hailed as a way to "bring creativity to all" by Stability AI, the coders who designed it. The application can create artwork on demand, and all a user has to do is type in a description of what artwork they want before they are given a number of examples to choose from in seconds. The AI-generated art is created via a trawl of professional artwork and photographs that already exist on the internet. A sophisticated algorithm then rearranges this "big data" to create a multitude of new pieces of art that are related to the inputted text prompts.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! For years, U.S. defense officials and Washington think-tankers alike have debated whether the future of our military could -- or should -- look a little less human. Already, the U.S. military has started to rely on technology that employs machine learning, artificial intelligence (AI), and big data -- raising ethical questions along the way. While these technologies have countless beneficial applications, ranging from threat assessment to preparing troops for battle, they rightfully evoke concerns about a future in which Terminator-like machines take over.

While the cloud technologies and artificial intelligence (AI) keeps winning the business world, our CRM consultants give a closer look at what changes it can bring to the CRM market. But first, here's what the numbers tell about the AI use in CRM today. As cloud-based CRM is growing in popularity (with 62% of CRM software predicted to move to cloud by 2018, Forbes), machine learning and artificial intelligence technologies keep entering sales people's daily routines with products like Einstein or Dynamics 365. According to the Economist Intelligence Unit report, 75% of the executives surveyed plan to introduce AI in their companies till 2020. Application of AI in CRM is supposed to keep growing with the advancement of tools offered by incumbents. Already in 2015, 25% of leaders in customer service relied on the best-next-action functionality of a kind, and 74% of marketers used predictive intelligence to craft content for a better customer experience (Salesforce).

Caring for a child requires empathy, patience, dedication and all those other human touches, but as we zoom further into the 21st Century, technology is taking a more hands-on role in all our lives and artificial intelligence has real-world functionality. AI is already making Siri, Alexa, Tesla, Amazon and Netflix smart at knowing what we want to do, buy and watch; and developments in this field indicate that AI can also help humans care for children. Here we look at four innovations that use AI to assist with child care and early learning. Muse is an AI-powered mobile app that asks parents daily questions to help them enrich their child's life (e.g. 'Has your child eaten a serving of a new food today?').

Charles Simon, BSEE, MSCs, is the founder and CEO of Future AI: Technologies that Think. AI systems are often compared to the human brain, even though they have almost nothing in common. To achieve artificial general intelligence (AGI), we tend to look to the only example of general intelligence available for humans to study: the human brain. This approach has led to modern artificial intelligence (AI) often being presented as working like your brain. It is more accurate, though, to view modern AI techniques such as machine learning (ML) as powerful statistical methods.

This article shows how to get an incredibly fast per token throughput when generating with the 176B parameter BLOOM model. As the model needs 352GB in bf16 (bfloat16) weights (176*2), the most efficient set-up is 8x80GB A100 GPUs. The main reason for using these GPUs is that at the time of this writing they provide the largest GPU memory, but other GPUs can be used as well. For example, 24x32GB V100s can be used. Using a single node will typically deliver a fastest throughput since most of the time intra-node GPU linking hardware is faster than inter-node one, but it's not always the case.

Machine learning has many useful cybersecurity applications -- provided the technology behind it isn't unduly influenced or tampered with by malicious actors, such that its data integrity is sabotaged. Donnie Wendt, principal security researcher at Mastercard, calls this the "Uncle Ronnie" effect: "When my son was little, before he'd go over to visit my brother -- his Uncle Ronnie -- I'd say, 'Please, please, don't learn anything new from him.' Because I know he's going to teach my son something bad," Wendt told SC Media in an interview at the CyberRisk Alliance's 2022 InfoSec World Conference in Orlando, Florida. Likewise, an adversary can compromise a machine learning system -- teaching it bad habits that its operators must then undo -- if they can even detect the breach in the first place. On the cyber front, properly trained machine-learning systems can help with such tasks as classifying malware, identifying phishing attempts, intrusion detection, behavioral analytics, and predicting if and when a vulnerability will be exploited.

Why is speaking at WITS important to you? WITS events have been enjoyable for me as a speaker and attendee. I filled my schedule with panels related to technology's business and technical aspects. I appreciate that the programming is diverse in its approach to the topics covered under the Tech umbrella. What inspires me: The advancements associated with DALL*E, the AI system that creates realistic images and art from natural language descriptions, are astounding. There are implications for content, advertising, and investment opportunities.