MLops: The Key to Pushing AI into the Mainstream
MLops is still an emerging field, so it may be tempting to write it off as just another techy buzzword, but its track-record proves that when designed…
Tag: AI, ML and Deep Learning
The advantages and disadvantages of AI in law firms
Get to know the advantages and disadvantages of deploying AI and machine learning in law firms and what the future holds.Â
Google’s cloud-based approach offers open ecosystem for data sharing
Google's new releases emphasize breaking barriers between clouds from different merchants and also self-hosting options by the customers.
Adversarial AI and the dystopian future of tech
The occurrence of an adversarial attack on AI or machine learning highlights a deep crack in the AI mechanisms.
Elevating human-machine relationships with no-code, reusable AI
No-code AI will allow humans to be augmented instead of replaced by AI. Its no-code nature will also democratize human augmentation.Â
How to find the business value in AI and ML
Despite the fact that businesses are increasingly undertaking initiatives to leverage ML and AI, many tools and projects lack appropriate resources, a…
OmniAI releases platform for building lightweight ML models for the edge
OmniML’s solution enables users to design, optimize and deploy advanced machine learning models to hardware devices at the network edge. It’s desi…
Trustworthy AI: How to ensure trust and ethics in AI
AI expert Beena Ammanath proposes specific approaches that organizations can adopt to embrace trustworthy AI.
Companies are commercializing multimodal AI models to analyze videos and more
Multimodal AI systems, which can understand the relationships between video, text, audio, and more, are becoming commercialized.
Brew, which develops AI-powered marketing analytics software, raises $12M
Brew, a startup developing AI-powered marketing software, has raised $12 million in venture capital financing.
Deep generative models could offer the most promising developments in AI
There's a need for further investment to ensure DGMs can be widely deployed and thus deliver on their economic and social promises.
Examining the ethics of AI development
The ethical development and delivery of AI technologies must balance risks and rewards for everyone, not just the intended beneficiaries.
Data literacy deep dive: An introduction to AI, ML and prediction literacy
Your personal data are used daily to influence your behaviors and beliefs. AI, ML and prediction literacy are now fundamental skills.
Language models that can search the web hold promise — but also raise concerns
An emerging class of AI language models search the web for answers to questions. But this raises concerns about their sources of information.
Neuro-symbolic AI could provide machines with common sense
Machines could plan their actions based on mental representations of the world they develop through intuitive physics and neuro-symbolic AI.
How AI will change the data center and the IT workforce
As with most everything AI touches, the data center will become leaner, less costly to operate and achieve higher performance metrics.
MIT researchers use simulation to train a robot to run at high speeds
Researchers at MIT have developed a new approach that enables them to program robots in simulation and then deploy them to the real world.
Data and AI are keys to digital transformation – how can you ensure their integrity?
In 2022, data and AI have set the stage for the digital revolution. How can orgs ensure that responsibility and ethics are at their core?