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Category: robotics/AI – Page 894

To Unlock AI Spending, Microsoft, OpenAI and Google Prep ‘Agents’

AI agents are part of the industry’s broader effort to turn the excitement ChatGPT sparked into recurring revenue for a slew of companies that sell such technology.

As many businesses remain cautious about spending on conversational artificial intelligence, AI providers such as Microsoft, OpenAI and Google are racing to make the technology more of a must-have—by introducing new features that can handle complex tasks with little guidance from the customer.

Microsoft, for instance, is making software to automate multiple actions such as creating, sending and tracking a client invoice based on their order history or rewriting an application’s code in a different language and verifying that it works as intended, according to current employees. The new software, which OpenAI’s technology will power, would improve upon Microsoft’s current suite of Copilots, which summarize meetings or draft emails. Microsoft is planning to announce some of these capabilities at its annual Build developer conference next month, two of the employees said.

High-precision blood glucose level prediction achieved by few-molecule reservoir computing

A collaborative research team from NIMS and Tokyo University of Science has successfully developed an artificial intelligence (AI) device that executes brain-like information processing through few-molecule reservoir computing. This innovation utilizes the molecular vibrations of a select number of organic molecules.

By applying this device for the blood glucose level prediction in patients with diabetes, it has significantly outperformed existing AI devices in terms of prediction accuracy.

The work is published in the journal Science Advances.

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

Telcos are a prime example of an enterprise that would benefit from adopting this hybrid AI model. They have a unique role, as they can be both consumers and providers. Similar scenarios may be applicable to healthcare, oil rigs, logistics companies and other industries. Are the telcos prepared to make good use of gen AI? We know they have a lot of data, but do they have a time-series model that fits the data?

When it comes to AI models, IBM has a multimodel strategy to accommodate each unique use case. Bigger is not always better, as specialized models outperform general-purpose models with lower infrastructure requirements.

AI-designed gene editing tools successfully modify human DNA

Medically, AI is helping us with everything from identifying abnormal heart rhythms before they happen to spotting skin cancer. But do we really need it to get involved with our genome? Protein-design company Profluent believes we do.

Founded in 2022 in Berkeley, California, Profluent has been exploring ways to use AI to study and generate new proteins that aren’t found in nature. This week, the team trumpeted a major success with the release of an AI-derived protein termed OpenCRISPR-1.

The protein is meant to work in the CRISPR gene-editing system, a process in which a protein cuts open a piece of DNA and repairs or replaces a gene. CRISPR has been actively in use for about 15 years, with its creators bagging the Nobel prize in chemistry in 2020. It has shown promise as a biomedical tool that can do everything from restoring vision to combating rare diseases; as an agricultural tool that can improve the vitamin D content of tomatoes, and slash the flowering time of trees from decades to months; and much more.

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