Why it's high time we stopped anthropomorphising ants We have long drawn parallels between ants and humans. Now we are comparing the insects to computers. Pollution is making many cities unlivable for their human inhabitants, but it is also tearing ant families and communities apart. Ants recognise each other by sniffing a thin layer of hydrocarbons on the outside of their exoskeletons; each colony has a specific "smell". But a new study reveals that ozone emissions can change the structure of these hydrocarbons.

Jacob Browning is a postdoc in NYU's Computer Science Department working on the philosophy of AI. Yann LeCun is a Turing Award-winning machine learning researcher, an NYU professor and the chief AI scientist at Meta. With artificial intelligence now powering Microsoft's Bing and Google's Bard search engines, brilliant and clever conversational AI is at our fingertips. But there have been many uncanny moments -- including casually delivered disturbing comments like calling a reporter ugly, declaring love for strangers or rattling off plans for taking over the world. To make sense of these bizarre moments, it's helpful to start by thinking about the phenomenon of saying the wrong thing.

Upshot, a blockchain-based protocol providing industry-leading non-fungible token (NFT) appraisals, announced the hiring of Orestis Tsinalis as Head of Data & Machine Learning. Tsinalis will report directly to CEO Nick Emmons and will be responsible for leading Upshot's growing data and machine learning teams, as well as improving the company's ML models to deliver real-time NFT appraisals for the market. Prior to joining Upshot, Tsinalis served as Head of Quantitative Research and as a Quantitative Trader at GHCO – one of the fastest-growing liquidity providers specializing in ETFs. While at GHCO, Tsinalis built and scaled pricing models for the company's global ETF book, developed new strategies for trading crypto ETPs, coins and futures, and built the ML infrastructure for backtesting high-frequency trading strategies. Tsinalis also served as the Principal Data Scientist at abrdn, a top-five UK asset manager with over $600b in AUM.

VMware and Nvidia have announced a pact at VMworld to make artificial intelligence (AI) a mass market. AI is entering a phase of maturity where its early adopters have discovered most of the glitches and devised a way to work around them. So virtual pioneer VMware has collaborated with graphics processing giant Nvidia (now part of Mellanox) to create a standard baseline platform on which all AI projects can be launched. Until now, the installation of AI has been far too complicated to attempt for any company that doesn't have global reach and the IT budgets to match. Companies need huge amounts of time and money to create the computing and network infrastructure on which to run all the software, host the data and process all the information, said Krish Prasad, VMware's cloud business SVP and general manager.

I've heard the terms "artificial intelligence", "machine learning", "big data" and "data science" thrown around sufficient times since I joined the workforce 3 years ago and I imagine if I am to be successful, I need to understand what AI is. Towards this goal, I set out to get a 60 ft view of the AI landscape and this article summarizes my learning -- a beginners guide for young professionals to talk AI. The upshot -- AI is here and AI is here to stay!

In one corner, there's a newbie, 5G-- higher bandwidth networks promising super-fast speed and increased responsiveness and reliability. And in the other, artificial intelligence (AI)--technology that can analyze massive amounts of data and learn from previous actions. But combined together, 5G networks and AI have the potential to pack a significantly more powerful punch. Some industry experts argue that the key differentiator among mobile networks will be the quality of the AI in their systems. "Together, AI and 5G will make possible capabilities that never existed before," says Prakash Sangam, principal and founder of Tantra Analyst, a high-tech research, analysis and strategic advisory firm.

Automation, artificial intelligence, and machine learning were key themes at the Structure Security conference in San Francisco, Calif. For business tech leaders, the bottom line is that security and automation are blending together. The trick for tech buyers will be to sort through what platforms are legit versus mere marketing and buzzwords. Automation, automation, automation - Jay Leek, chief information security officer at private equity firm Blackstone, said his company started an effort to automate investigations and rote security task and other items in a bid to alleviate a security talent crunch and boost productivity. The upshot: Leek's security analysts do more high-value work, and initial investigations now take 40 seconds.

Automation, artificial intelligence and machine learning were key themes at the Structure Security conference in San Francisco. For business tech leaders, the bottom line is that security and automation are blending together. The trick for tech buyers will be to sort through what platforms are legit vs. mere marketing and buzzwords. Jay Leek, chief information security officer at private equity firm Blackstone, said his company started an effort to automate investigations, rote security tasks and other items in a bid to alleviate a security talent crunch and boost productivity. The upshot: Leek's security analysts do more high value work and initial investigations now take 40 seconds.