#DARKTRACE

[artemispt]

Lando’s a 3? How about you all?

[kramlabs]

Previously: https://www.kramlabs.com/post/759354629331025920/divers-search-sicily-yacht-wreck-with-uk-tech-boss

[curiositasmundi]

L’affondamento dello yacht del magnate britannico Mike Lynch comincia a evidenziare alcuni dettagli che alimentano seri sospetti sui contorni della morte sua, del boss della Morgan Stanley, Johnatan Bloomer, del loro avvocato di fiducia e delle rispettive mogli nelle acque di Porticello a Palermo. Non è certo un dettaglio che ben sei agenti speciali britannici si siano precipitati sul posto per capire – o per coprire? – quello che è accaduto.

In primo luogo c’è la morte, appena quattro giorni fa, del numero due dell’azienda di Lynch, Stephen Chamberlain, investito mentre faceva jogging a Stretham, in Gran Bretagna. Chamberlain lavorava come direttore operativo per la società di sicurezza informatica Darktrace, legata al magnate Lynch.

In secondo luogo Lynch era uno squalo della finanza soprattutto nel settore sensibilissimo della cybersicurezza e dunque anche della cyberwar. E in questo settore i punti di contatto con il mondo dell’intelligence e del lavoro sporco sono innumerevoli.

[...]

Darktrace, azienda di sicurezza informatica fondata dal magnate britannico Mike Lynch – una delle sei persone disperse nel naufragio avvenuto ieri a Porticello, nei pressi di Palermo – ha rapporti consolidati con l’intelligence israeliana. Darktrace è ben nota ai servizi segreti internazionali, italiani compresi, ma ha stretti rapporti, in particolare, con quelli israeliani che, secondo una fonte interpellata da “Agenzia Nova”, hanno utilizzato i sistemi dell’azienda britannica per individuare alcuni dei massimi dirigenti di Hamas.

Lynch, noto anche come il “Bill Gates britannico”, ha avuto un ruolo importante nella nascita di Darktrace. La società, infatti, è stata fondata nel 2013 a Cambridge, da matematici ed esperti di difesa informatica di Invoke Capital, altra impresa di proprietà proprio di Lynch.

[...]

’estate scorsa Darktrace aveva presentato sul mercato Heal, il suo nuovo strumento che sfrutta l’intelligenza artificiale per facilitare la fase cosiddetta di “incident response”, ovvero la capacità di rilevare e gestire gli attacchi informatici in modo da ridurre al minimo i danni, i tempi di recupero e i costi totali.

Lo scorso primo marzo l’azienda ha annunciato la nascita di Darktrace Federal, una nuova divisione al servizio del Dipartimento della Difesa degli Stati Uniti, della comunità di intelligence, delle agenzie civili federali e delle infrastrutture critiche nazionali per rafforzare le loro capacità di proteggersi dagli attacchi cyber.

In Darktrace Federal lavorano esperti in materia di sicurezza ed ex membri dell’intelligence statunitense che hanno guidato le operazioni informatiche presso la Cia e fornito assistenza all’Agenzia per la sicurezza nazionale (Nsa) e al Pentagono. Un annuncio che non sorprende, ma che anzi conferma la stretta vicinanza fra l’azienda fondata da Lynch e la comunità internazionale dell’intelligence.

È notizia dello scorso 26 aprile, invece, l’acquisizione di Darktrace da parte del fondo d’investimento statunitense Thoma Bravo per 5,32 miliardi di dollari. La trattativa era iniziata nel 2022 ma aveva subito una battuta d’arresto a causa di una serie di difficoltà nei negoziati fra le dirigenze delle due aziende. Thoma Bravo ha visto l’acquisizione come un’opportunità per rafforzare la propria esposizione nel mercato della sicurezza informatica: d’altronde, il fondo Usa possiede già diverse aziende che operano nel comparto, come Sophos, Proofpoint, Ping Identity e SailPoint.

Per Darktrace, invece, l’acquisizione potrebbe rappresentare un’opportunità di crescita e innovazione: un’operazione “win-win” come si dice in questi casi. Non sempre, tuttavia, sono filati lisci i rapporti fra le società legate a Lynch e gli Stati Uniti. L’imprenditore britannico, infatti, lo scorso giugno era stato scagionato – non senza sorprese – da un tribunale di San Francisco dalle accuse di frode e falso in bilancio presentate da Hewlett Packard. Lynch, infatti, aveva venduto al colosso statunitense del settore high tech, Autonomy, altra società informatica da lui fondata ma era stato accusato di aver gonfiato il valore della società prima della transazione.

Una vicenda che durava da ben 13 anni, quella del contenzioso fra Lynch ed Hewlett Packard che, tuttavia, si era conclusa nel migliore dei modi per l’imprenditore britannico che in questi giorni si stava godendo una vacanza con la famiglia in Italia. La vacanza, però, ha assunto toni decisamente drammatici in seguito del naufragio in Sicilia dello yacht che ospitava, complessivamente, 22 persone.

[...]

[jpmellojr]

Malware-as-a-Service Thriving Business for Hackers: Report

Cybercriminals are turning malware into a service. New report shows MaaS tools fueling massive attacks in the first half of 2024. https://jpmellojr.blogspot.com/2024/08/malware-as-service-thriving-business.html

[msclaritea]

"...We are about to experience a monumental change in technology, starting with ��next-generation” cybersecurity that will then move quickly into the unknown. Unsupervised A.I., now running on critical networks throughout the world as a “cybersecurity” product, is evolving its own algorithm without the need for humans to be involved. Meanwhile, the wealthy patrons funding this cutting edge future tech are out in force, working to propel our societies into this new, unexplored and dystopian technological frontier. 

But who are the companies that these eager wealthy venture capitalists are funding to create an autonomous, A.I.-powered cyber defence system like never before? Are they even companies at all when we consider their deep and direct ties to intelligence agencies? Should these firms instead be reclassified as simply extensions of state intelligence apparatus acting without the restrictions of public accountability?...."

Each of these companies have been built by

[ericvanderburg]

Darktrace says Cyber threats shifting towards as-a-service tools

http://i.securitythinkingcap.com/T2Ph4P

[theleadersglobe]

U.K. Labour Government Hosts Inaugural International Investment Summit

On Monday, the U.K. Labour government hosted its first International Investment Summit in London, aiming to attract significant foreign capital and strengthen the nation’s economic prospects. Prime Minister Keir Starmer, along with Finance Minister Rachel Reeves and Business Minister Jonathan Reynolds, led the event at London’s Guildhall. The one-day summit gathered around 200 top executives from the U.K. and abroad, including notable names like former Google chair Eric Schmidt, Goldman Sachs CEO David Solomon, and BlackRock chief Larry Fink. The government used the event to emphasise the U.K.’s position as a prime business hub, promoting investment opportunities in key sectors such as artificial intelligence, life sciences, and infrastructure.

A highlight of the summit was the presence of Poppy Gustafsson, co-founder of the cybersecurity firm Darktrace and newly appointed Investment Minister, who was tasked with showcasing the U.K. as a destination for global businesses. The government revealed plans to ease regulatory restrictions and facilitate billions of pounds in investment deals, signalling its commitment to fostering growth and attracting international investors.

Read More: https://theleadersglobe.com/business/u-k-labour-government-hosts-inaugural-international-investment-summit/

[govindhtech]

Excellent Resources For Threat Detection And Mitigation

Crucial software programs that improve security by instantly recognizing and reducing any threats. Today’s digital world requires good cybersecurity. Threat detection and prevention tools are crucial for data and system security. This article provides a summary of some of the top tools for threat detection and prevention, emphasizing their main characteristics and advantages.

Falcon CrowdStrike

Prominent for its sophisticated threat detection capabilities, CrowdStrike Falcon is a cloud-native endpoint security technology.

Keeps an eye on and examines user activity to find irregularities and possible dangers.

Makes use of artificial intelligence to recognize and address complex threats.

Provide resources for real-time threat investigation and mitigation.

Advantages

Because of its cloud-based design, it is appropriate for companies of all sizes.

Provides a smooth deployment process and an intuitive user interface.

Security from Splunk Enterprise

For advanced threat detection and compliance, Splunk Enterprise Security offers a complete SIEM (Security Information and Event Management) solution.

Provide instantaneous insights on security occurrences and events.

Makes use of machine learning to identify and forecast possible security risks.

Provides thorough information and configurable dashboards for security investigation.

Advantages

Connects to a large number of other data sources and security tools.

Ability to manage substantial data quantities, making it appropriate for businesses.

Darktrace

Darktrace offers autonomous threat detection and response by using machine learning and artificial intelligence.

Establishes a baseline of typical behavior and detects deviations using machine learning.

Detects threats early on and produces few false positives.

Without human assistance, automatically reacts to and neutralizes threats.

Advantages

Constantly picks up new skills and adjusts to changing dangers.

Simple to implement, with little setup.

Palo Alto Networks Cortex XDR

Cortex XDR identifies and reacts to endpoint and network threats.

Using correlations between data from many sources, integrated threat intelligence finds sophisticated threats.

Automated Response: Prevents dangers by taking action automatically.

Complete insight: Offers complete insight into cloud and network infrastructures from end to end.

Advantages

Unified Platform: Consolidates many security features into a solitary platform.

Enhanced Detection: Increases the accuracy of detection by using threat information and sophisticated analytics.

MVISION insights from McAfee

The cloud-based McAfee MVISION Insights Threat Detection and prevention solution emphasizes proactive security.

Predictive analytics makes use of machine learning to foresee and avert possible dangers before they manifest.

Cloud-Native: Developed to integrate with cloud environments seamlessly.

Threat Intelligence: Improves detection capabilities by using worldwide threat intelligence.

Advantages

Preventing risks before they arise is the goal of the proactive approach.

Cloud Integration: Designed with cloud-based services and infrastructures in mind.

SentinelOne

SentinelOne provides an endpoint security platform powered by AI that includes integrated threat detection and response features.

Endpoint detection and response are provided by autonomous EDR, which requires less human involvement.

Threat information: Uses threat information to improve reaction and detection.

Forensic Analysis: Provides in-depth analysis to look into and comprehend dangers.

Advantages

Reduces the requirement for human involvement in threat response thanks to autonomous capabilities.

All-around Protection: Blocks ransomware and malware.

Helix of FireEye

An integrated platform for security operations, FireEye Helix combines threat detection, investigation, and response.

Unified Security Operations: unifies threat detection, analysis, and reaction into a single platform.

Advanced Analytics: Enhances detection using machine learning and threat intelligence

Automated reaction: To simplify security operations, reaction activities are automated.

Advantages

The holistic approach offers an all-encompassing perspective on security operations.

Integration: Connects to the infrastructure and security technologies that are already in place.

In summary

Having the proper tools is essential to fending off any cyber assaults. Platforms like Palo Alto Networks Cortex XDR and McAfee MVISION provide complete threat response across several levels, while solutions like Crowd Strike Falcon, Splunk, and Darktrace offer sophisticated threat detection capabilities backed by AI and machine learning. The best tool for your business will rely on its unique requirements, but all of these options guarantee better defenses against threats in real time, quicker reaction times, and secure systems.

Read more on Govindhtech.com

[channeledhistory]

[...]

Italian Prosecutors who have opened up a criminal probe into multiple charges of manslaughter and negligent shipwreck think the 56-meter (184-foot) yacht, the Bayesian, may contain highly sensitive data tied to a number of Western intelligence services, four sources familiar with the investigation and salvage operation said.

Lynch was associated with British, American and other intelligence services through his various companies, including the cyber security company he founded, Darktrace.

That company was sold to Chicago-based private equity firm Thoma Bravo in April. Lynch, whose wife’s company Revtom Limited owned the vessel, was also an adviser to British prime ministers David Cameron and Theresa May on science, technology and cyber security during their tenures, according to British government and public Darktrace records.

The sunken vessel, lying on the seabed at a depth of some 50 meters (164 feet), is thought to have watertight safes containing two super-encrypted hard drives that hold highly classified information, including passcodes and other sensitive data [...]

[...]

“A formal request has been accepted and implemented for additional security of the wreckage until it can be raised,” an official with the Sicilian civil protection authority who is assisting with the criminal investigation confirmed to CNN.

Lynch, his 18-year-old daughter Hannah, American attorney Chris Morvillo and his wife Neda, British banker Jonathan Bloomer and his wife Judy, and the yacht’s onboard chef Recaldo Thomas died when the ship sank in a violent storm in the early hours of the morning.

[...]

Some of the 15 survivors, of whom nine were crew members and six were passengers, including a 1-year-old girl, reportedly told prosecutors that Lynch “did not trust cloud services” and always kept data drives in a secure compartment of the yacht wherever he sailed, a source with the prosecutor’s office told CNN. [...]

Morvillo represented Lynch when he was acquitted in a criminal fraud case in the US in June tied to the takeover by Hewlett Packard of his software company Autonomy, and survivors told investigators that the cruise was a celebration of that acquittal, according to the assistant prosecutor, Raffaele Cammarano. Though Lynch was acquitted of any criminal wrongdoing in the US, Hewlett Packard has indicated it will not drop its bid to collect a $4 billion civil payout from Lynch’s estate, awarded by a British court in 2022.

In what appears to be a tragic coincidence, Lynch’s business partner Stephen Chamberlain — who was his co-defendant in the US fraud case and the former chief operating officer of Darktrace — died on August 19, the same day the Bayesian sank, after being hit by a car while out jogging two days earlier. A spokesperson for the prosecutor’s office told CNN that Cutfield told them Lynch had learned of Chamberlain’s serious condition and had planned to cut the cruise short to return to the UK to see his business partner, who had been on life support.

The Bayesian sank a few hours before Chamberlain died in the hospital, his lawyer said. [...]

[dave-antrobus-inc-co]

Dave Antrobus Inc & Co - Machine Learning Revolution in UK Businesses

Dave Antrobus, co-founder and technology director of Inc & Co, is making impressive strides in leveraging machine learning and AI to transform the country’s business landscape. His vision for digital transformation is not just elevating individual companies but also paving the way for broader economic growth. Machine learning is rapidly changing UK businesses, creating more efficient and competitive environments, which are crucial in today’s fast-paced market.

AI’s impact on industries like retail, supply chain, and aviation is a testament to Antrobus’s innovative approach. By integrating AI solutions, businesses are becoming more customer-focused and operationally effective. These advancements highlight the importance of keeping pace with technological changes to maintain a competitive edge.

Dave Antrobus Inc & Co’s initiatives in the digital economy signify a larger trend of AI-driven change. This trend is reshaping how businesses operate, ensuring that the UK market remains at the forefront of technological advancement. His work illustrates the vital role that machine learning plays in the future success and sustainability of UK businesses.

Impact of Machine Learning on UK Businesses

Machine learning is driving significant changes in how businesses in the UK operate and grow. It enhances business processes by improving efficiency, advancing customer interactions, and transforming data analytics.

Enhancing Operational Efficiency and Productivity

Machine learning is helping companies improve their operations through automation and optimisation. By using algorithms, businesses can streamline tasks like supply chain management and manufacturing processes. This leads to a notable increase in productivity and cost-saving. Tools like chatbots and AI-based systems reduce manual work, allowing employees to focus on complex tasks instead. The technology also helps identify and address the skills gap, ensuring workers have the necessary expertise. Several companies are adopting AI solutions to maintain a competitive edge and keep up with market trends, driving economic growth in the digital economy.

Revolutionising Customer Interactions and Service

Artificial intelligence is radically changing how businesses engage with their customers. With AI tools like chatbots, companies can provide 24/7 customer service, ensuring immediate support. The retail sector benefits from AI by improving shopping experiences through personalisation. AI analyses customer data to create tailored interactions, enhancing the customer experience. By integrating machine learning, companies can better understand consumer behaviour and adapt their services accordingly. This facilitates stronger connection with customers and fosters loyalty, all while respecting ethical AI and data privacy standards. Leading businesses, including Darktrace and Rolls-Royce, are pioneering these innovations to improve customer relations.

Advancing Data Analytics and Predictive Analytics

The power of machine learning lies in its ability to transform data analysis. By using machine learning, businesses can process large volumes of data quickly and accurately. Predictive analytics plays a crucial role in understanding future trends, enabling companies to make informed decisions based on data insights. This is particularly useful in fields like logistics, helping them adapt to changing demands efficiently. Machine learning algorithms also identify patterns that would be impossible for humans to spot, driving improvements in efficiency and productivity. Ethical AI use and understanding algorithmic bias are essential to ensure accurate and fair results.

Fostering Innovation and Technology Growth

Machine learning is a key driver of innovation across various industries. It encourages business innovation by enabling companies to experiment with new ideas and technologies. By fostering a tech-friendly environment, organisations can leverage the Internet of Things (IoT) to connect devices and improve operations. The growth in AI technology also contributes to economic progress and advancement in both retail and corporate sectors. Companies focusing on AI, such as AI Innovations and others, lead the way by developing cutting-edge solutions. This is reflected in AI trends that continue to shape the future of businesses, making them more adaptive, efficient, and successful in a competitive landscape.

Machine Learning and Future Perspective

Machine learning is revolutionising UK businesses by providing innovative solutions and efficiencies. It’s reshaping sectors, enhancing cybersecurity, and adapting the workforce to meet future demands. In this transformative phase, companies must address ethical concerns while integrating AI technologies.

Navigating the Ethical and Security Aspects

As machine learning becomes integral to businesses, ethical and security challenges come into focus. Data privacy is paramount as companies handle vast amounts of sensitive information. There are increasing concerns about who owns data and how it is used.

The rise of AI in threat detection enhances cybersecurity measures but also requires vigilance to protect against potential breaches. Ethical AI guidelines should be established to ensure that AI technologies behave responsibly. Companies must balance technological advancements with security protocols to foster trust and transparency.

The Job Market and Education Shift

Machine learning is shifting the job market, creating both opportunities and challenges. Automation may lead to the decline of some roles, but it also opens up future prospects in fields like robotics and data analysis.

This evolution necessitates addressing the skills gap with a focus on lifelong learning. Education systems must adapt to prepare students for these changes, emphasising skills in AI technology and digital marketing. Upskilling workers is crucial for staying competitive. Businesses and educational institutions must collaborate to create relevant training programs. Integrating AI into Diverse IndustriesAI technology is being integrated into various sectors, transforming traditional practices. AI in manufacturing increases efficiency and innovation, using robotics to automate production lines. Retail businesses benefit by personalising customer experiences through AI-driven insights, while fintech advances customer service with smart algorithms.

Logistics and the supply chain also see major improvements, as AI tools streamline operations and reduce waste. These industries must adapt to AI’s capabilities, ensuring they remain ahead in a competitive landscape.

Cost Management and Reduction Strategies

Implementing machine learning helps businesses manage costs effectively. By automating repetitive tasks, companies cut labour costs and improve operational efficiency. AI tools provide smart choices for resource allocation, leading to effective cost reduction.

Predictive algorithms help in forecasting demand, preventing inventory issues in sectors like retail and manufacturing. Businesses can optimise their budget by investing in technology that offers long-term savings. Adopting these strategies will be essential for economic growth and sustaining competitive advantage in rapidly evolving markets.

Visit https://www.businessmole.com/dave-antrobus-revolutionising-construction-with-ai for more details. 

[leprivatebanker]

Darktrace chief Gustafsson to step down ahead of takeover

Chief operating officer Jill Popelka to lead cyber security group being acquired by Thoma Bravo

[b2bcybersecurity]

Malware-as-a-Service am gefährlichsten

Malware- und Ransomware-as-a-Service waren im ersten Halbjahr 2024 die häufigsten Cyberbedrohungen. Auch Phishing ist weiterhin eine große Gefahr. Über die Hälfte der Phishing-Mails hat dabei die DMARC-Prüfungen umgangen. Darktrace stellt in seinem neuen „First 6: Half-Year Threat Report 2024“ die größten IT-Gefahren für Unternehmen in der ersten Jahreshälfte 2024 vor. Demnach dominiert Cybercrime-as-a-Service weiterhin die Bedrohungslandschaft. Dabei werden zu einem erheblichen Teil Tools für Malware-as-a-Service (MaaS) und Ransomware-as-a-Service (RaaS) eingesetzt. Entsprechende Anbieter wie Lockbit und Black Basta stellen Angreifern alles Nötige von vorgefertigter Malware bis hin zu Vorlagen für Phishing-E-Mails bereit. So senken sie die Einstiegshürden für Cyberkriminelle. Die häufigsten Bedrohungen von Januar bis Juni 2024 - 1: Malware für Informationsdiebstahl (29 % der untersuchten Gefahren) - 2: Trojaner (15 %) - 3: Remote-Access-Trojaner (RATs) (12 %) - 4: Botnets (6%) - 5: Loader (6 %) Die Studie deckt auch neue Bedrohungen auf, wie die Ransomware Qilin. Mit Hilfe raffinierter Techniken, etwa dem Neustart infizierter Rechner im abgesicherten Modus, umgeht sie Security-Tools und erschwert eine schnelle Reaktion von Sicherheitsteams. Gemäß dem Threat Research Team von Darktrace gibt es drei vorherrschende Ransomware-Stämme: Akira, Lockbit und Black Basta. Bei allen drei wurden doppelte Erpressungsmethoden beobachtet, die inzwischen weit verbreitet sind. Immer mehr Phishing-Mails umgehen Erkennung Phishing bleibt ebenfalls eine erhebliche Gefahr für Unternehmen. Darktrace entdeckte zwischen dem 21. Dezember 2023 und dem 5. Juli 2024 bei Kunden 17,8 Millionen Phishing-Mails. Davon konnten 62 Prozent die Verifizierungsprüfung DMARC (Domain-based Message Authentication, Reporting, and Conformance) erfolgreich umgehen. Sie soll eigentlich E-Mail-Domains vor unbefugter Nutzung schützen, doch 56 Prozent der Phishing-Mails passierten alle bestehenden Sicherheitsschichten. Insgesamt nutzen Cyberkriminelle immer ausgefeiltere Taktiken, Techniken und Prozesse, um herkömmliche Sicherheitsmaßnahmen auszutricksen. Darktrace beobachtet eine Zunahme von Attacken, die sich über legitime Dienste und Websites von Drittanbietern, wie Dropbox und Slack, in den normalen Netzwerkverkehr einschleichen. Darüber hinaus werden vermehrt verdeckte Command-and-Control-Mechanismen (C2) eingesetzt, darunter Tools für Fernüberwachung und -verwaltung, Tunneling und Proxy-Dienste. Kompromittierung von Edge-Infrastrukturen Laut der Studie nimmt die massenhafte Ausnutzung von Schwachstellen in Edge-Infrastruktur-Geräten zu. Dies gilt insbesondere in Bezug auf Ivanti Connect Secure, JetBrains TeamCity, FortiClient Enterprise Management Server und Palo Alto Networks PAN-OS. Deren Kompromittierungen dienen oft als Sprungbrett für weitere bösartige Aktivitäten. Unternehmen dürfen neben neuen Angriffstrends auch die bestehenden Techniken und Schwachstellen nicht aus den Augen verlieren. Denn Cyberkriminelle können auf frühere, nur noch selten genutzte Methoden zurückgreifen, um in Infrastrukturen einzudringen. Zwischen Januar und Juni nutzten Angreifer in 40 Prozent der untersuchten Fälle bekannte Sicherheitslücken aus. „Die Bedrohungslandschaft entwickelt sich ständig weiter, aber neue Angriffsmethoden basieren oft auf bisherigen, statt sie zu ersetzen“, erklärt Nathaniel Jones, Director of Strategic Threat and Engagement bei Darktrace. „Die Beständigkeit von Malware-as-a-Service und Ransomware-as-a-Service neben dem Auftauchen neuer Bedrohungen wie Qilin Ransomware verdeutlicht den anhaltenden Bedarf an anpassungsfähigen Sicherheitsmaßnahmen. Diese müssen auf maschinellem Lernen basieren, um mit einer sich schnell entwickelnden Bedrohungslandschaft Schritt halten zu können.“     Passende Artikel zum Thema Lesen Sie den ganzen Artikel

[learning-robotics]

Live AI Projects 2024: Real-World Applications and Innovations

Discover the latest live AI projects in 2024 that are transforming industries, including healthcare, finance, and robotics. Explore real-world applications and innovations in artificial intelligence.

Exploring Live Artificial Intelligence Projects in 2024

Artificial Intelligence (AI) has moved beyond theoretical research and into real-world applications that are transforming industries. From healthcare and finance to robotics and entertainment, AI is at the forefront of technological innovation. In this blog, we explore some of the most exciting live AI projects of 2024 that are making a significant impact across various sectors.

1. AI in Healthcare: Predictive Diagnostics and Personalized Treatment

One of the most promising applications of AI in 2024 is in the healthcare sector. Projects like IBM Watson Health are revolutionizing how we approach diagnostics and treatment. Watson Health uses AI to analyze vast amounts of medical data, providing predictive diagnostics and personalized treatment plans. This AI-driven approach not only improves patient outcomes but also reduces the time doctors spend on routine tasks, allowing them to focus more on patient care.

2. Autonomous Vehicles: The Future of Transportation

Autonomous vehicles are no longer a concept of the future; they are a reality in 2024. Companies like Waymo and Tesla are leading the charge with live AI projects that bring fully autonomous vehicles to the streets. These vehicles use AI to navigate complex urban environments, making real-time decisions to ensure safety and efficiency. The success of these projects could drastically reduce traffic accidents and change how we think about transportation.

3. AI in Finance: Algorithmic Trading and Fraud Detection

The financial industry is leveraging AI for tasks like algorithmic trading and fraud detection. Projects like AlphaSense and Darktrace are at the forefront, using AI to analyze market trends and detect fraudulent activities in real-time. These systems can process vast amounts of data much faster than human analysts, making them indispensable tools for financial institutions.

4. Robotics: AI-Powered Automation

In 2024, robotics is another field where AI is making significant strides. Companies like Boston Dynamics are developing AI-powered robots that can perform complex tasks with high precision. These robots are being used in various industries, from manufacturing to logistics, where they help automate repetitive tasks, improving efficiency and reducing operational costs.

5. Natural Language Processing (NLP): Revolutionizing Communication

Natural Language Processing is a subfield of AI that focuses on the interaction between computers and humans through natural language. Live projects like OpenAI's GPT-4 are pushing the boundaries of what AI can achieve in understanding and generating human language. These advancements are revolutionizing industries such as customer service, where AI chatbots are becoming increasingly sophisticated in handling customer inquiries.

6. AI in Entertainment: Personalized Content Creation

The entertainment industry is also experiencing a transformation thanks to AI. Projects like Netflix's recommendation engine and DeepMind's AI-generated music are examples of how AI is being used to personalize content for users. By analyzing user preferences and behaviors, these AI systems can create and recommend content that is more likely to resonate with individual users, enhancing their overall experience.

Conclusion

As we move further into 2024, the impact of AI on various industries continues to grow. These live projects are just a glimpse of the potential that AI holds for the future. From healthcare to entertainment, AI is not just a tool but a driving force behind innovation. Keeping an eye on these developments will be crucial for anyone interested in the future of technology.

[anchesetuttinoino]

🇺🇦⚔️🇷🇺

⛵🤔 NAUFRAGIO DI PORTICELLO: la società di uno dei morti ha aiutato l'Ucraina a invadere Kursk.

"Le competenze di Darktrace sono state utilizzate dall’Ucraina anche per preparare l’offensiva lanciata lo scorso 6 agosto nella regione di Kursk, in territorio russo.

Un’operazione che non avrebbe mai avuto successo se l’arrivo delle forze di Kiev non fosse stato preceduto da un attacco cyber in grado di mettere fuori uso i sistemi di comunicazione dell’esercito russo."

Alcuni giornali pensano che i russi si siano vendicati, perché è sempre #ColpadiPutin.

Fonte

Unisciti al canale 👇🏻💯

https://t.me/ultimouomo000

[eclecticstarlightblogger]

Darktrace: Θρίλερ με την εξαφάνιση του Βρετανού μεγιστάνα στην Σικελία και τον ταυτόχρονο θάνατο του συνεργάτη του!

Φαίνεται ότι ο Μάικ Λιντς, που αυτή τη στιγμή αγνοείται μετά τη βύθιση του γιοτ «Bayesian» στη θάλασσα στα ανοικτά των ακτών της Σικελίας, έχει βαθιά εμπλοκή με τις υπηρεσίες ασφαλείας. Darktrace: Θρίλερ με την εξαφάνιση του Βρετανού μεγιστάνα στην Σικελία και τον ταυτόχρονο θάνατο του συνεργάτη του! – olympia source…