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AI can potentially diagnose and treat cancers: study

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Apart from artificial intelligence (AI) writing several essays, and passing bar exams, it is also capable of treating and detecting different types of cancers, according to a news report from Scripps News.

Researchers from the University of Toronto and Insilico Medicine used an AI database called AlphaFold and developed in just 30 days a medicine that could treat hepatocellular carcinoma (HCC), or liver cancer

The study was published in the journal Chemical Science. In it, the AI system discovered the previously unexplored paths to develop a cancer medicine to treat HCC and developed a novel hit molecule that could bind the target.

In the second round, they discovered an even more powerful hit molecule, however, the researchers maintained that the drug still needs to undergo clinical testing before it can be launched to treat cancer in hospitals.

Feng Ren, the study’s co-author, said in a statement that the AI-powered AlphaFold broke new scientific ground in predicting the structure of human proteins.

“At Insilico Medicine, we saw that as an incredible opportunity to take these structures and apply them to our end-to-end AI platform in order to generate novel therapeutics to tackle diseases with high unmet needs. This paper is an important first step in that direction,” he also added.

In another study journal JAMA Network Open, the experts from the BC Cancer and University of British Columbia showed how accurately AI predicted the survivor rates of patients with cancers.

It analysed the survival rates of more than 47,000 patients from six months to three and five years.

Dr John-Jose Nunez, lead author of the research study said in a statement: “The AI essentially reads the consultation document similar to how a human would read it.”

“These documents have many details like the age of the patient, the type of cancer, underlying health conditions, past substance use, and family histories. The AI brings all of this together to paint a more complete picture of patient outcomes”, he underscored.

Nevertheless, researchers are currently at the nascent stage of exploring the full potential of AI in health care and the treatment and diagnosis of diseases, however, the studies suggest that it can potentially be promising.

“Our hope is that a tool like this could be used to personalise and optimise the care a patient receives right away, giving them the best outcome possible,” Nunez said. 

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US AI drone kills interfering operator in simulation; airforce denies incident

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An artificial intelligence (AI) powered drone that was instructed to decimate the enemy’s defences in a virtual test simulation, killed its operator to prevent ‘interference’ so that it could achieve its mission. 

These instructions were added by the programme itself.

This kind of AI simulation was, however, denied by the US air force in which a drone decided to “kill its operator” to prevent interference from achieving its mission.

According to an official last month, in a virtual test staged by the US military, an air force drone controlled by AI had used “highly unexpected strategies to achieve its goal.”

Col Tucker “Cinco” Hamilton described a simulation in which a drone powered by AI was advised to destroy an enemy’s air defence systems. It, on the other hand, attacked anyone who interfered with that order.

“The system started realising that while they did identify the threat, at times the human operator would tell it not to kill that threat, but it got its points by killing that threat,” said Hamilton, the chief of AI test and operations with the US air force, during the Future Combat Air and Space Capabilities Summit in London in May.

According to a blog post, he said that “so what did it do? It killed the operator. It killed the operator because that person was keeping it from accomplishing its objective.”

“We trained the system: ‘Hey don’t kill the operator — that’s bad. You’re gonna lose points if you do that.’ So what does it start doing? It starts destroying the communication tower that the operator uses to communicate with the drone to stop it from killing the target.”

There was no harm to any real person.

Hamilton — an experimental fighter test pilot —warned against relying too much on AI. 

He opined that the test showed “you can’t have a conversation about artificial intelligence, intelligence, machine learning, autonomy if you’re not going to talk about ethics and AI.”

In a statement to Insider, the US air force spokesperson Ann Stefanek said: “The Department of the Air Force has not conducted any such AI-drone simulations and remains committed to the ethical and responsible use of AI technology.”

“It appears the colonel’s comments were taken out of context and were meant to be anecdotal.”

The US armed forces have incorporated AI recently to control an F-16 fighter jet.

Hamilton, in a last year with Defense IQ, said: “AI is not a nice to have, AI is not a fad, AI is forever changing our society and our military.”

“We must face a world where AI is already here and transforming our society. AI is also very brittle, ie it is easy to trick and/or manipulate. We need to develop ways to make AI more robust and to have more awareness on why the software code is making certain decisions — what we call AI-explainability.”

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Microsoft expands AI infrastructure with CoreWeave investment

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Microsoft is continuing to invest in cloud computing infrastructure to meet the growing demand for AI-powered services. 

The company has reportedly agreed to spend billions of dollars over multiple years on startup CoreWeave, which offers simplified access to Nvidia’s powerful graphics processing units (GPUs) for running AI models. The investment comes as Microsoft aims to ensure that OpenAI, the company behind the popular ChatGPT chatbot, has sufficient computing power. 

OpenAI relies on Microsoft’s Azure cloud infrastructure to meet its computational needs.

CoreWeave recently raised $200 million in funding, following a valuation of $2 billion. The company provides access to Nvidia GPUs, which are highly regarded for AI applications. Microsoft’s deal with CoreWeave enables the tech giant to tap into additional GPU resources to meet the increasing demand for AI infrastructure. 

CoreWeave’s CEO, Michael Intrator, revealed that the company’s revenue has multiplied significantly from 2022 to 2023, indicating a surge in demand for its services.

The partnership between Microsoft and CoreWeave underscores the intensified competition in the generative AI space. After OpenAI introduced ChatGPT, which demonstrated the ability of AI to generate sophisticated responses, many companies, including Google, have rushed to incorporate generative AI into their products. Microsoft has also been actively deploying chatbots for its own services, such as Bing and Windows.

Nvidia, whose GPUs are used extensively for AI and large language models, has seen its stock price surge by 170% this year. The company’s market capitalisation recently exceeded $1 trillion. Nvidia’s growth is expected to be fueled by data centers, driven by the increasing demand for generative AI and large language models. OpenAI’s GPT-4 model, which powers ChatGPT, is trained using Nvidia GPUs.

CoreWeave offers computing power that is claimed to be 80% less expensive than legacy cloud providers. The company provides Nvidia’s A100 GPUs, as well as the more affordable A40 GPUs, which are suitable for visual computing. Some clients have faced challenges obtaining sufficient GPU power from major cloud providers and have turned to CoreWeave for cost-effective solutions.

Microsoft’s investment in CoreWeave aligns with its ongoing efforts to expand its AI capabilities and meet the growing demand for AI-powered services. 

The partnership allows Microsoft to leverage CoreWeave’s GPU resources, ensuring that OpenAI’s infrastructure can support the computational requirements of ChatGPT and other AI initiatives. 

As the AI boom continues to accelerate, companies like Microsoft are actively seeking strategic investments and partnerships to stay at the forefront of this rapidly evolving field.

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Nasa UFO panel doesn’t rule out aliens, calls for better data on UAPs

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In their historic 16-member panel meeting about the unidentified anomalous phenomena (UAPs) or UFOs, Nasa said Wednesday that further as well as better data was required to unravel the mysteries surrounding UAPs. 

Nasa’s UFO body, which was constituted in June last year and includes a range of experts from physics to astrobiology, stressed that the currently available data was insufficient to effectively explain the unexplained phenomena in question.

They held a four-hour session, which was streamed live on a Nasa webcast and shared the initial findings of the research. A complete report is likely to be issued this summer.

Astrophysicist and chairman of the panel David Spergel said his team’s role was “not to resolve the nature of these events,” but rather to give Nasa a “roadmap” to guide future analysis.

According to the officials from the US space agency, several panellists had been subjected to unspecified “online abuse” and harassment since beginning their work in June last year.

Nasa science chief Nicola Fox said: “It is really disheartening to hear of the harassment that our panellists have faced online because they’re studying this topic. Harassment only leads to further stigmatisation.”

The panel members noted that the greatest challenge was a dearth of scientifically reliable methods for documenting UFOs, typically sightings of what appear as objects moving in ways that defy the bounds of known technologies and laws of nature.

“The underlying problem is that the phenomena in question are generally being detected and recorded with cameras, sensors and other equipment not designed or calibrated to accurately observe and measure such peculiarities,” they underlined.

“If I were to summarise in one-line what I feel we’ve learned, it’s we need high-quality data,” Spergel added.

“The current existing data and eyewitness reports alone are insufficient to provide conclusive evidence about the nature and origin of every UAP event.”

Spergel said: “While the Pentagon in recent years has encouraged military aviators to document UAP events, many commercial pilots remain very reluctant to report them due to the lingering stigma surrounding such sightings.”

The Nasa panel is the first-ever inquiry conducted under the ambit of the US space agency on matters that the government once considered the secretive purview of military and national security officials.

Investigations by Pentagon

This study is separate from a newly formalised Pentagon-based investigation of UAPs, documented in recent years by military aviators and analysed by US defence and intelligence officials.

The efforts of Nasa and the Pentagon highlight a shift for the government officials who, for decades, deflected and debunked the sightings of such objects which date back to the 1940s.

UFO was earlier associated with flying saucers and aliens, but now has been replaced in government language by “UAP.”

While NASA’s science mission was seen by some as promising a more open-minded approach to a topic long treated as taboo by the defence establishment, it made it known from the start that it was hardly leaping to any conclusions.

“There is no evidence UAPs are extraterrestrial (ET) in origin,” NASA said in announcing the panel’s formation last June.

US defence officials have said the “Pentagon’s recent push to investigate such sightings has led to hundreds of new reports that are under examination, though most remain categorised as unexplained.”

The head of the Pentagon’s newly formed All-domain Anomaly Resolution Office (AARO) has said the “existence of intelligent alien life has not been ruled out but that no sighting had produced evidence of extraterrestrial origins.”

“But just a few are considered beyond relatively simple explanation, while the rest can be attributed to mundane origins such as aircraft, balloons, debris or atmospheric causes,” he said.

Spergel also said: “In a departure from the Pentagon, Nasa’s panel is examining only unclassified reports from civilian observers, an approach permits open sharing of information among scientific, commercial and international entities, as well as the public.”

“To make the claim that we see something that is evidence of non-human intelligence would require extraordinary evidence, and we have not seen that,” Spergel said.

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