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Organizations are losing between $94 — $186 billion annually to vulnerable or insecure APIs (Application Programming Interfaces) and automated abuse by bots. That’s according to The Economic Impact of API and Bot Attacks report from Imperva, a Thales company. The report highlights that these security threats account for up to 11.8% of global cyber events and losses, emphasizing the escalating risks they pose to businesses worldwide.

Drawing on a comprehensive study conducted by the Marsh McLennan Cyber Risk Intelligence Center, the report analyzes over 161,000 unique cybersecurity incidents. The findings demonstrate a concerning trend: the threats posed by vulnerable or insecure APIs and automated abuse by bots are increasingly interconnected and prevalent. Imperva warns that failing to address security risks associated with these threats could lead to substantial financial and reputational damage.

Artificial-intelligence tech company OpenAI said it has raised $6.6 billion in new funding, giving it a massive post-money valuation of $157 billion, almost double its previous reported valuation of $80 billion earlier this year.

The new round of funding was led by venture-capital firm Thrive Capital, with additional investors including Microsoft, Nvidia, SoftBank, Fidelity, Khosla Ventures, Altimeter Capital, United Arab Emirates-based MGX and Tiger Global. In 2024, OpenAI is projecting a $5 billion net loss on $3.7 billion in revenue, CNBC reported. Next year, the company is targeting $11.6 billion in revenue, per the report.

“We are making progress on our mission to ensure that artificial general intelligence benefits all of humanity,” OpenAI said in a statement announcing the funding. “Every week, over 250 million people around the world use ChatGPT to enhance their work, creativity and learning. Across industries, businesses are improving productivity and operations, and developers are leveraging our platform to create a new generation of applications. And we’re only getting started.”

The same technique could also be applied to studies of brain damage, Ruetz said. “Neural stem cells in the subventricular zone are also in the business of repairing brain tissue damage from stroke or traumatic brain injury.”

The glucose transporter connection “is a hopeful finding,” Brunet said. For one, it suggests not only the possibility of designing pharmaceutical or genetic therapies to turn on new neuron growth in old or injured brains, but also the possibility of developing simpler behavioral interventions, such as a low carbohydrate diet that might adjust the amount of glucose taken up by old neural stem cells.

The researchers found other provocative pathways worthy of follow-up studies. Genes relating to primary cilia, parts of some brain cells that play a critical role in sensing and processing signals such as growth factors and neurotransmitters, also are associated with neural stem cell activation. This finding reassured the team that their methodology was effective, partly because unrelated previous work had already discovered associations between cilia organization and neural stem cell function. It is also exciting because the association with the new leads about glucose transmission could point toward alternative avenues of treatment that might engage both pathways, Brunet said.

Quantum computers have the ability to harness the mysterious effects of quantum physics, making them a game changer for science. Professor Hannah Fry explains how they work on The Future with Hannah Fry.


With the promise of unimaginable computing power, a global race for quantum supremacy is raging. Who will be first to harness this new technological force, and what will they do with it?

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Artificial intelligence start-ups are making revenues more quickly than previous waves of software companies, according to new data that suggests that the transformative technology is also generating strong businesses at an unprecedented rate.

According to an analysis of payments information from fintech group Stripe, top AI groups are reaching millions of dollars in sales within a year — far faster in a start-up’s life cycle than comparable non-AI tech groups.

The findings come as investors raise questions about the economic benefits of generative AI and likely returns on Big Tech’s projected trillion-dollar investment in computing infrastructure to support the technology over the coming year.

I’m actually getting Starlink because it’s competitively priced, and I can walk to my local Grocery Store up the street, and order it.


President Ruto had on Monday during a business roundtable meeting revealed that Starlink’s entry into the Kenyan market faced a lot of resistance from local players who felt the foreign firm’s entry would eat into their market share.

Ruto admitted during the roundtable that Kenya would be seeking more competitors in a bid to revolutionize the digital space in Kenya.

Locally, Starlink has been well received with many Kenyan companies and business owners signaling a shift in a bid to access alternative internet options.

Four years after being functionally cured of sickle cell disease with a CRISPR gene-editing therapy, Jimi Olaghere has set a new world record for patients with this chronic and deadly disease.

Olaghere, a 39-year-old business owner from Atlanta, became the world’s first patient with sickle cell disease to reach the summit of Kilimanjaro at 7:30 am Tanzania time on Sept. 16. It’s the highest peak in Africa at 19,341 feet above sea level.

Large language models (LLMs) such as ChatGPT and Google Gemini excel at being trained on large data-sets to generate informative responses to prompts. Yi Cao, an assistant professor of accounting at the Donald G. Costello College of Business at George Mason University, and Long Chen, associate professor and area chair of accounting at Costello, are actively exploring how individual investors can use LLMs to glean market insights from the dizzying array of available data about companies.

Their new working paper, appearing in SSRN Electronic Journal and co-authored with Jennifer Wu Tucker of the University of Florida and Chi Wan of University of Massachusetts Boston, examines AI’s ability to identify “peer firms,” or product market competitors in an industry.

Cao explains the significance of selecting peers by relating this process to the real-estate market. “The capital market is similar to the real-estate market in that a firm’s value is partially determined by the value of its peers. In the real-estate market, we price a home based on the value of comparable properties in the neighborhood, or the so-called ‘comps.’ In our paper, we aim to leverage the power of LLMs to identify comps for evaluating firm value.”

Jensen Huang, Nvidia’s visionary CEO, challenges a long-held belief about the future of programming. While everyone has been saying it’s crucial to learn coding, Huang turns that idea on its head. With the rise of AI, we are ALL programmers now – without ever writing a line of code.

The real miracle is here: artificial intelligence. It has closed the gap between humans and technology, making complex computing accessible to all. Whether you’re a professional or someone just dipping their toes into the world of tech, AI is now in your hands. Are you going to let this chance slip by? The time to act is now! 🌍🤖

The technology divide is no more. Every government, industry, and business is investing in AI. Will you get on board, or be left in the dust?