SentinelOne an autonomous cybersecurity platform company, unveiled XDR Ingest, a disruptive step in democratizing XDR. XDR Ingest provides SentinelOne customers with a limitless data platform to ingest, retain, correlate, search, and action all enterprise security data – real time and historical, from any source. All Singularity XDR customers receive an included ingestion allocation for data, telemetry, and logs from any external source. Included free of charge is also the ingestion of all SentinelOne native data. Together, XDR Ingest offsets the costs of log storage and eliminates unnecessary data duplication.
When you think of artificial intelligence (AI), chances are the first images that spring to mind are of gleaming tech headquarters populating the heart of Silicon Valley. Or perhaps you imagine state-of-the-art navigation and defense systems outfitting U.S. aircraft carriers and submarines. It's unlikely, though, that references to AI will conjure visions of sprawling fields replete with healthy crops, livestock grazing on emerald pastures, and expansive storehouses containing enormous yields of fresh fruit, vegetable, and dairy, all fresh from the farm. In fact, the marriage of AI and agriculture is real and it is promising. Now, more than ever, it appears that the future of farming may well lie in artificial intelligence technologies.
During the last few years, we have witnessed an increase in advanced cyber attacks. Cybercriminals utilize advanced technology to breach the digital boundary and exploit enterprises' security vulnerabilities. No industry feels secure; security professionals do their utmost to close security gaps and strengthen their cyber defense. As new technologies pop up at an unprecedented rate, cybersecurity professionals are literally "chasing the tail"; they need time to train themselves in new systems and processes understand how they work, and adopt best practices to protect them against cyber threats. To counter advanced technology a high-tech toolbox is needed.
Hong Kong-based drug discovery and development company Insilico has secured fresh capital at a time that its CEO described as a "biotech winter." The firm has raised $35 million on the heels of its last tranche in June, bringing its total Series D investment to $95 million. The new round was "oversubscribed", the firm's founder and CEO Alex Zhavoronkov told TechCrunch, declining to disclose the company's valuation. Prosperity7, the venture capital arm of Saudi Arabia's state oil company Aramco, led the new capital infusion. The fund has been actively scouring for opportunities in and around China that can scale globally and particularly in the Middle East.
The US Court of Appeals for the Federal Circuit affirmed on August 5 that only a natural person--not an artificial intelligence system--can be an inventor. Artificial Intelligence (AI) technology is widely applied as a tool in different technical areas, such as machine learning, image processing, and speech recognition. More complex AI technology can create new products or processes with little or no human help. If an AI system can independently create something new, can it be designated as an inventor? The Federal Circuit finally settled this issue--affirming decisions of the US Patent and Trademark Office (USPTO) and Eastern District of Virginia that an AI system cannot be an inventor.
There are teams of researchers in academia and at major AI labs these days working on the problem of AI ethics, or the moral concerns raised by AI systems. These efforts tend to be especially focused on data privacy concerns and on what is known as AI bias -- AI systems that, using training data with bias often built in, produce racist or sexist results, such as refusing women credit card limits they'd grant a man with identical qualifications. There are also teams of researchers in academia and at some (though fewer) AI labs that are working on the problem of AI alignment. This is the risk that, as our AI systems become more powerful, our oversight methods and training approaches will be more and more meaningless for the task of getting them to do what we actually want. Ultimately, we'll have handed humanity's future over to systems with goals and priorities we don't understand and can no longer influence.
Calling the top of the current wave of inflation has been a painful exercise for economists and central bankers, who have been proven wrong time and again during the past year. But data on Wednesday, which showed that some measures of inflation had cooled in the world's two largest economies, was likely to rekindle a debate about whether the worst might be over after a year of torrid price growth. United States consumer prices did not rise in July compared with June due to a sharp drop in the cost of petrol, delivering much-needed relief to American consumers on edge after steady prices climbs during the past two years. And China's factory-gate inflation slowed to a 17-month low on an annual basis while consumer prices rose less than expected. After wrongly predicting last year that high inflation would be transitory, most central bankers, including the US Federal Reserve, have stopped trying to put an exact date on when they expect current price growth to peak.
A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules. The resulting simulation describes how water molecules transition into solid ice with quantum accuracy. This level of accuracy, once thought unreachable due to the amount of computing power it would require, became possible when the researchers incorporated deep neural networks, a form of artificial intelligence, into their methods. The study was published in the journal Proceedings of the National Academy of Sciences. "In a sense, this is like a dream come true," said Roberto Car, Princeton's Ralph W. *31 Dornte Professor in Chemistry, who co-pioneered the approach of simulating molecular behaviors based on the underlying quantum laws more than 35 years ago.
Today Insilico Medicine announced the completion of a second closing of its Series D round, led by Prosperity7 Ventures, the diversified growth fund of Saudi Aramco Ventures, bringing the total Series D financing to $95 million. Other global investors with expertise in the biopharmaceutical and life sciences sectors also participated. The financing brought in Prosperity7 as a new investor, alongside current investors in the Series D round, including a large, diversified asset management firm on the US West Coast, B Capital Group, Warburg Pincus, BHR Partners, Qiming Venture Partners, Deerfield, Pavilion Capital, BOLD Capital Partners, and WS Investment Company. Insilico's founder and CEO, Alex Zhavoronkov, PhD, also invested in the Series D round. Insilico Medicine plans to grow its presence in Saudi Arabia, building on the recent investment from Prosperity7.