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Fine-tuning large language models (LLM) has become an important tool for businesses seeking to tailor AI capabilities to niche tasks and personalized user experiences. But fine-tuning usually comes with steep computational and financial overhead, keeping its use limited for enterprises with limited resources.

To solve these challenges, researchers have created algorithms and techniques that cut the cost of fine-tuning LLMs and running fine-tuned models. The latest of these techniques is S-LoRA, a collaborative effort between researchers at Stanford University and University of California-Berkeley (UC Berkeley).

“We found that the electrolyte reacting with the cathode surface leads to the increased crack formation,” Manthiram said in the lab report.

The UT team reports that reversible cracking happens during battery operation. But, the electrolyte is working its way into those openings, removing oxygen from the cathode, and solidifying the cracks, per the UT report.

To help visualize the problem, the experts likened this process to a river eroding its banks. And, in their opinion, the electrolyte’s impact on the cathode’s surface is the main cause for the degradation.

One of the most high-profile blockchain systems in traditional banking has added a new feature that lets companies shift cash automatically.

JPMorgan Chase & Co’s JPM Coin now allows clients to program their accounts by plugging in a set of key conditions, enabling them to move funds to cover overdue payments and margin calls. Further down the line, it may help them seize on differences in exchange rates.

Germany’s Siemens AG used the system this week, configuring its accounts to transfer money to fill potential shortfalls, Naveen Mallela, head of Coin Systems at JPMorgan’s blockchain division Onyx, said in an interview.

The North Korean-backed BlueNorOff threat group targets Apple customers with new macOS malware tracked as ObjCShellz that can open remote shells on compromised devices.

BlueNorOff is a financially motivated hacking group known for attacking cryptocurrency exchanges and financial organizations such as venture capital firms and banks worldwide.

The malicious payload observed by Jamf malware analysts (labeled ProcessRequest) communicates with the swissborg[.]blog, an attacker-controlled domain registered on May 31 and hosted at 104.168.214[.]151 (an IP address part of BlueNorOff infrastructure).

The team’s research, including their code, data, and models, is now publicly available on GitHub. This open-source approach encourages the broader AI community to continue this line of exploration, potentially leading to further advancements in machine learning.

The advent of LeMa represents a major milestone in AI, suggesting that machines’ learning (ML) processes can be made more akin to human learning. This development could revolutionize sectors heavily reliant on AI, such as healthcare, finance, and autonomous vehicles, where error correction and continuous learning are critical.

As the AI field continues to evolve rapidly, the integration of human-like learning processes, such as learning from mistakes, appears to be an essential factor in developing more efficient and effective AI systems.

01. AI’s model outperforms Meta’s Llama 2 on certain metricsStartup to offer open-source model; proprietary options laterA Chinese startup founded by computer scientist Kai-Fu Lee has become a unicorn in less than eight months on the strength of a new open-source artificial-intelligence model that outstrips Silicon Valley’s best, on at least certain metrics.

The company, 01.AI, has reached a valuation of more than $1 billion after a funding round that included Alibaba Group Holding Ltd.’s cloud unit, Lee said in an interview. The chief executive officer of venture firm Sinovation Ventures will also be CEO of the new startup. He began assembling the team for 01.AI in March and started… More.


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A study by the Global Antibiotic Research & Development Partnership and Innoviva Specialty Therapeutics found a single dose of a first-in-class oral antibiotic called zoliflodacin was as safe and effective as standard therapy for uncomplicated urogenital gonorrhea. NIAID contributed financial and scientific support to the development of zoliflodacin and applauds its non-governmental and private sector partners on successfully conducting the study. Read the NIH statement on these results: https://go.nih.gov/Wquuct


A single dose of a novel oral antibiotic called zoliflodacin has been found to be as safe and effective as standard therapy for uncomplicated urogenital gonorrhea in an international Phase 3 non-inferiority clinical trial, according to the Global Antibiotic Research & Development Partnership (GARDP), the study sponsor. Gonorrhea treatment options are increasingly limited due to antimicrobial resistance seen in Neisseria gonorrhoeae, the bacteria that cause gonococcal infection.

Because of the imperative to expand the gonococcal therapeutic pipeline, the National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health, has contributed financial and scientific support to the development of zoliflodacin and applauds its non-governmental and private sector partners on successfully conducting the Phase 3 study. This research has generated important new evidence for a field in urgent need of alternative therapeutic options. Specifically, zoliflodacin may offer an alternative to current therapy for uncomplicated urogenital gonococcal infection.

“Decades-old antibiotics are becoming ineffective for treating Neisseria gonorrhoeae, which creates a huge global health burden. NIAID celebrates this exemplary public-private partnership for supporting science to improve the sexual health of people worldwide,” said NIAID Director Jeanne Marrazzo, M.D. “These encouraging results should bolster additional, intersectoral efforts to develop safe and effective therapeutic options for gonorrhea and other bacteria that exhibit antimicrobial resistance.”

Microsoft warns of Scattered Spider, a financially motivated hacking crew that infiltrates firms worldwide using SMS phishing, SIM swapping, and by posing as new employees, leading to data breaches and takeovers.

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The prolific threat actor known as Scattered Spider has been observed impersonating newly hired employees in targeted firms as a ploy to blend into normal on-hire processes and takeover accounts and breach organizations across the world.

Microsoft, which disclosed the activities of the financially motivated hacking crew, described the adversary as “one of the most dangerous financial criminal groups,” calling out its operational fluidity and its ability to incorporate SMS phishing, SIM swapping, and help desk fraud into its attack model.